From 642a8ef4c3659848e75be32b80dfa2b6724c8404 Mon Sep 17 00:00:00 2001 From: ysrivas08 Date: Mon, 26 Feb 2024 12:24:49 -0500 Subject: [PATCH 01/69] Updated file for 2024 drafts --- .../flowbyactivitymethods/EPA_GHGI.yaml | 302 ++++++++++-------- 1 file changed, 165 insertions(+), 137 deletions(-) diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index ca5ae0ca8..2147ea2d1 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -1,6 +1,7 @@ +##Need to update links and years author: US Environmental Protection Agency source_name: 'Inventory of US Greenhouse Gas Emissions and Sinks: 1990-2020' -source_url: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2020 +source_url: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2020 bib_id: EPA_GHGI # api_name: EPA_GHGI # api_key_required: false @@ -26,15 +27,18 @@ years: - 2018 - 2019 - 2020 +- 2021 +- 2022 + # Special table lists -multi_chem_names: ["2-1", "4-46", "5-6", "5-28", "ES-4"] -source_No_activity: ["3-22", "3-22b"] +multi_chem_names: ["2-1", "4-53", "5-6", "5-28"] # Dropped "ES-4" +source_No_activity: ["3-24", "3-24b"] # Handle tables with 1 parent level category -source_activity_1: ["3-7", "3-8", "3-9", "3-10", "5-17", "5-18", "A-70", "A-71"] +source_activity_1: ["3-7", "3-8", "3-9", "5-17", "5-18"] ## Dropped "3-10", "A-70", "A-71"] source_activity_1_fuel: ["3-13", "3-14", "3-15"] # Tables with sub categories -source_activity_2: ["3-42", "3-68", "A-97"] +source_activity_2: ["3-44", "3-73", "A-92"] Tables: "Ch 2 - Trends": @@ -65,12 +69,12 @@ Tables: "flow": "N2O" "desc": "Table 3-9: N2O Emissions from Stationary Combustion (MMT CO2 Eq.)" - "3-10": # Not a primary emissions datasource - "class": "Chemicals" - "unit": "MMT CO2e" - "compartment": "air" - "flow": "CO2e" - "desc": "Table 3-10: CO2, CH4, and N2O Emissions from Fossil Fuel Combustion by Sector (MMT CO2 Eq.)" + #"3-10": # Not a primary emissions datasource + # "class": "Chemicals" + #"unit": "MMT CO2e" + #"compartment": "air" + #"flow": "CO2e" + #"desc": "Table 3-10: CO2, CH4, and N2O Emissions from Fossil Fuel Combustion by Sector (MMT CO2 Eq.)" "3-13": "class": "Chemicals" @@ -91,24 +95,24 @@ Tables: "flow": "N2O" "desc": "Table 3-15: N2O Emissions from Mobile Combustion (MMT CO2 Eq.)" - "3-22": + "3-24": "class": "Chemicals" "unit": "Other" "compartment": "air" "flow": "CO2" - "activity": "2020 Adjusted Non-Energy Use Fossil Fuel - __type__" - "desc": "Table 3-22: 2020 Adjusted Non-Energy Use Fossil Fuel Consumption, Storage, and Emissions" - "year": "2020" + "activity": "2022 Adjusted Non-Energy Use Fossil Fuel - __type__" + "desc": "Table 3-24: 2022 Adjusted Non-Energy Use Fossil Fuel Consumption, Storage, and Emissions" + "year": "2022" "melt_var": "FlowName" - "3-22b": # Represents historical dataset for table 3-22 for non-current years + "3-24b": # Represents historical dataset for table 3-24 for non-current years "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2" - "desc": "Table 3-22b: Adjusted Non-Energy Use Fossil Fuel Emissions" + "desc": "Table 3-24b: Adjusted Non-Energy Use Fossil Fuel Emissions" - "3-108": + "3-120": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" @@ -116,123 +120,123 @@ Tables: "desc": "CO2 Emissions from Wood Consumption by End-Use Sector (MMT CO2 Eq.)" # Petroleum Systems - "3-42": + "3-44": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CH4" - "desc": "Table 3-42: CH4 Emissions from Petroleum Systems (MMT CO2 Eq.)" - "3-44": + "desc": "Table 3-44: CH4 Emissions from Petroleum Systems (MMT CO2 Eq.)" + "3-46": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2" - "desc": "Table 3-44: CO2 Emissions from Petroleum Systems (MMT CO2)" - "3-46": + "desc": "Table 3-46: CO2 Emissions from Petroleum Systems (MMT CO2)" + "3-48": "class": "Chemicals" "unit": "MT CO2e" "compartment": "air" "flow": "N2O" - "desc": "Table 3-46: N2O Emissions from Petroleum Systems (Metric Tons CO2 Eq.)" + "desc": "Table 3-48: N2O Emissions from Petroleum Systems (Metric Tons CO2 Eq.)" # Natural Gas Systems - "3-68": + "3-73": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CH4" - "desc": "Table 3-68: CH4 Emissions from Natural Gas Systems (MMT CO2 Eq.)a" - "3-70": + "desc": "Table 3-73: CH4 Emissions from Natural Gas Systems (MMT CO2 Eq.)a" + "3-75": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2" - "desc": "Table 3-70: Non-combustion CO2 Emissions from Natural Gas Systems (MMT)" - "3-72": + "desc": "Table 3-75: Non-combustion CO2 Emissions from Natural Gas Systems (MMT)" + "3-77": "class": "Chemicals" "unit": "MT CO2e" "compartment": "air" "flow": "N2O" - "desc": "Table 3-72: N2O Emissions from Natural Gas Systems (Metric Tons CO2 Eq.)" + "desc": "Table 3-77: N2O Emissions from Natural Gas Systems (Metric Tons CO2 Eq.)" # International Bunker Fuels - "3-104": + "3-116": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" - "desc": "Table 3-104: CO2, CH4, and N2O Emissions from International Bunker Fuels (MMT CO2 Eq.)" + "desc": "Table 3-116: CO2, CH4, and N2O Emissions from International Bunker Fuels (MMT CO2 Eq.)" "Ch 4 - Industrial Processes": - "4-14": # Emissions captured in 2-1 + "4-16": # Emissions captured in 2-1 "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2" - "desc": "Table 4-14: CO2 Emissions from Other Process Uses of Carbonates (MMT CO2 Eq.)" + "desc": "Table 4-16: CO2 Emissions from Other Process Uses of Carbonates (MMT CO2 Eq.)" "melt_var": "ActivityProducedBy" - "4-33": # Emissions captured in 2-1 + "4-37": # Emissions captured in 2-1 "class": "Chemicals" "compartment": "air" "flow": "N2O" "activity": "Caprolactam Production" - "desc": "Table 4-33: N2O Emissions from Caprolactam Production (MMT CO2 Eq. and kt N2O)" + "desc": "Table 4-37: N2O Emissions from Caprolactam Production (MMT CO2 Eq. and kt N2O)" "melt_var": "Unit" - "4-50": + "4-57": "class": "Chemicals" "compartment": "air" "flow": "HFC-23" "activity": "HCFC-22 Production" - "desc": "Table 4-50: HFC-23 Emissions from HCFC-22 Production (MMT CO2 Eq. and kt HFC-23)" + "desc": "Table 4-57: HFC-23 Emissions from HCFC-22 Production (MMT CO2 Eq. and kt HFC-23)" "melt_var": "Unit" - "4-80": + "4-100": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "activity": "Aluminum Production" - "desc": "Table 4-80: PFC Emissions from Aluminum Production (MMT CO2 Eq.)" + "desc": "Table 4-100: PFC Emissions from Aluminum Production (MMT CO2 Eq.)" "melt_var": "FlowName" - "4-46": + "4-53": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2e" "activity": - "desc": "Table 4-46: CO2 and CH4 Emissions from Petrochemical Production (MMT CO2 Eq.)" + "desc": "Table 4-53: CO2 and CH4 Emissions from Petrochemical Production (MMT CO2 Eq.)" - "4-48": # Not a primary emissions datasource + "4-55": # Not a primary emissions datasource "class": "Other" "unit": "kt" - "desc": "Table 4-48: Production of Selected Petrochemicals (kt)" + "desc": "Table 4-55: Production of Selected Petrochemicals (kt)" - "4-86": + "4-106": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2e" "activity": "Magnesium Production and Processing" - "desc": "Table 4-86: SF6, HFC-134a, FK 5-1-12 and CO2 Emissions from Magnesium Production and Processing (MMT CO2 Eq.)" - "4-96": + "desc": "Table 4-106: SF6, HFC-134a, FK 5-1-12 and CO2 Emissions from Magnesium Production and Processing (MMT CO2 Eq.)" + "4-118": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2e" "activity": "Electronics Production" - "desc": "Table 4-96: PFC, HFC, SF6, NF3, and N2O Emissions from Electronics Manufacture (MMT CO2 Eq.)" - "4-100": # Used to speciate HFC emissions in 4-102 + "desc": "Table 4-118: PFC, HFC, SF6, NF3, and N2O Emissions from Electronics Manufacture (MMT CO2 Eq.)" + "4-122": # Used to speciate HFC emissions in 4-124 "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2e" "activity": "ODS Substitute" - "desc": "Table 4-100: Emissions of HFCs and PFCs from ODS Substitutes (MMT CO2 Eq.)" + "desc": "Table 4-122: Emissions of HFCs and PFCs from ODS Substitutes (MMT CO2 Eq.)" - "4-102": + "4-124": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "HFCs and PFCs" - "desc": "Table 4-102: Emissions of HFCs and PFCs from ODS Substitutes (MMT CO2 Eq.) by Sector" + "desc": "Table 4-124: Emissions of HFCs and PFCs from ODS Substitutes (MMT CO2 Eq.) by Sector" "Ch 5 - Agriculture": "5-3": @@ -268,19 +272,20 @@ Tables: "flow": "CO2e" "desc": "Table 5-28: CH4 and N2O Emissions from Field Burning of Agricultural Residues (MMT CO2 Eq.)" - "Executive Summary": - "ES-4": # Not currently used - "class": "Chemicals" - "unit": "MMT CO2e" - "compartment": "air" - "flow": "CO2e" - "desc": > - Table ES-4: U.S. Greenhouse Gas Emissions and Removals (Net Flux) - from Land Use, Land-Use Change, and Forestry (MMT CO2 Eq.) +## NEED TO DROP ES-4 + #"Executive Summary": + # "ES-4": # Not currently used + # "class": "Chemicals" + # "unit": "MMT CO2e" + # "compartment": "air" + # "flow": "CO2e" + #"desc": > + # Table ES-4: U.S. Greenhouse Gas Emissions and Removals (Net Flux) + # from Land Use, Land-Use Change, and Forestry (MMT CO2 Eq.) Annex: "Annex 2": - # "A-4": # Not currently used + # "A-4": # Not currently used #DROP # "class": "Energy" # "unit": "TBtu" # "emission_compartment": "air" @@ -291,7 +296,7 @@ Annex: # 2020 Energy Consumption Data by Fuel Type (TBtu) # and Adjusted Energy Consumption Data # "year": "2020" - + "A-5": # Separate emissions table for each year "class": "Energy" "unit": "TBtu" @@ -300,9 +305,9 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2020 Energy Consumption Data and CO2 Emissions from + 2022 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type - "year": "2020" + "year": "2022" "A-6": # Separate emissions table for each year "class": "Energy" "unit": "TBtu" @@ -311,9 +316,9 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2019 Energy Consumption Data and CO2 Emissions from + 2021 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type - "year": "2019" + "year": "2021" "A-7": # Separate emissions table for each year "class": "Energy" "unit": "TBtu" @@ -322,9 +327,9 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2018 Energy Consumption Data and CO2 Emissions from - Fossil Fuel Combustion by Fuel Type" - "year": "2018" + 2020 Energy Consumption Data and CO2 Emissions from + Fossil Fuel Combustion by Fuel Type + "year": "2020" "A-8": # Separate emissions table for each year "class": "Energy" "unit": "TBtu" @@ -333,9 +338,9 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2017 Energy Consumption Data and CO2 Emissions from + 2019 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type - "year": "2017" + "year": "2019" "A-9": # Separate emissions table for each year "class": "Energy" "unit": "TBtu" @@ -344,43 +349,10 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2016 Energy Consumption Data and CO2 Emissions from - Fossil Fuel Combustion by Fuel Type - "year": "2016" - "A-10": # Separate emissions table for each year - "class": "Energy" - "unit": "TBtu" - "emission_compartment": "air" - "emission": "CO2" - "emission_unit": "MMT CO2e" - "emission_class": "Chemicals" - "desc": > - 2015 Energy Consumption Data and CO2 Emissions from " - Fossil Fuel Combustion by Fuel Type" - "year": "2015" - "A-11": # Separate emissions table for each year - "class": "Energy" - "unit": "TBtu" - "emission_compartment": "air" - "emission": "CO2" - "emission_unit": "MMT CO2e" - "emission_class": "Chemicals" - "desc": > - 2014 Energy Consumption Data and CO2 Emissions from " + 2018 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type" - "year": "2014" - "A-12": # Separate emissions table for each year - "class": "Energy" - "unit": "TBtu" - "emission_compartment": "air" - "emission": "CO2" - "emission_unit": "MMT CO2e" - "emission_class": "Chemicals" - "desc": > - 2013 Energy Consumption Data and CO2 Emissions from - Fossil Fuel Combustion by Fuel Type - "year": "2013" - "A-13": # Separate emissions table for each year + "year": "2018" + "A-10": # Separate emissions table for each year "class": "Energy" "unit": "TBtu" "emission_compartment": "air" @@ -388,10 +360,10 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2012 Energy Consumption Data and CO2 Emissions from + 2017 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type - "year": "2012" - "A-14": # Separate emissions table for each year + "year": "2017" + "A-11": # Separate emissions table for each year "class": "Energy" "unit": "TBtu" "emission_compartment": "air" @@ -399,10 +371,10 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2011 Energy Consumption Data and CO2 Emissions from + 2016 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type - "year": "2011" - "A-15": # Separate emissions table for each year + "year": "2016" + "A-12": # Separate emissions table for each year "class": "Energy" "unit": "TBtu" "emission_compartment": "air" @@ -410,37 +382,93 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2010 Energy Consumption Data and CO2 Emissions from - Fossil Fuel Combustion by Fuel Type - "year": "2010" + 2015 Energy Consumption Data and CO2 Emissions from " + Fossil Fuel Combustion by Fuel Type" + "year": "2015" + + #"A-11": # Separate emissions table for each year + # "class": "Energy" + #"unit": "TBtu" + #"emission_compartment": "air" + #"emission": "CO2" + #"emission_unit": "MMT CO2e" + #"emission_class": "Chemicals" + #"desc": > + # 2014 Energy Consumption Data and CO2 Emissions from " + #Fossil Fuel Combustion by Fuel Type" + #"year": "2014" + #"A-12": # Separate emissions table for each year + # "class": "Energy" + #"unit": "TBtu" + #"emission_compartment": "air" + #"emission": "CO2" + #"emission_unit": "MMT CO2e" + #"emission_class": "Chemicals" + #"desc": > + # 2013 Energy Consumption Data and CO2 Emissions from + #Fossil Fuel Combustion by Fuel Type + #"year": "2013" + # "A-13": # Separate emissions table for each year + # "class": "Energy" + # "unit": "TBtu" + #"emission_compartment": "air" + #"emission": "CO2" + #"emission_unit": "MMT CO2e" + #"emission_class": "Chemicals" + #"desc": > + # 2012 Energy Consumption Data and CO2 Emissions from + #Fossil Fuel Combustion by Fuel Type + #"year": "2012" + #"A-14": # Separate emissions table for each year + # "class": "Energy" + # "unit": "TBtu" + # "emission_compartment": "air" + # "emission": "CO2" + # "emission_unit": "MMT CO2e" + # "emission_class": "Chemicals" + # "desc": > + # 2011 Energy Consumption Data and CO2 Emissions from + # Fossil Fuel Combustion by Fuel Type + # "year": "2011" + #"A-15": # Separate emissions table for each year + # "class": "Energy" + # "unit": "TBtu" + # "emission_compartment": "air" + # "emission": "CO2" + # "emission_unit": "MMT CO2e" + # "emission_class": "Chemicals" + # "desc": > + # 2010 Energy Consumption Data and CO2 Emissions from + # Fossil Fuel Combustion by Fuel Type + # "year": "2010" "Annex 3": - "A-73": # Allocation datasource + "A-71": # Allocation datasource "class": "Energy" "unit": "million gallons" "activity": "Fuel Consumption" "desc": "Fuel Consumption by Fuel and Vehicle Type (million gallons unless otherwise specified)" - "A-70": # Not a primary emissions datasource - "class": "Chemicals" - "unit": "kt" - "compartment": "air" - "flow": "NOx" - "desc": "NOx Emissions from Stationary Combustion (kt)" - "A-71": # Not a primary emissions datasource - "class": "Chemicals" - "unit": "kt" - "compartment": "air" - "flow": "CO" - "desc": "CO Emissions from Stationary Combustion (kt)" - "A-95": # Not a primary emissions datasource - "class": "Chemicals" - "unit": "kt" - "compartment": "air" - "flow": "NMVOC" - "desc": "NMVOCs Emissions from Mobile Combustion (kt)" + #"A-70": # Not a primary emissions datasource + # "class": "Chemicals" + # "unit": "kt" + # "compartment": "air" + # "flow": "NOx" + # "desc": "NOx Emissions from Stationary Combustion (kt)" + #"A-71": # Not a primary emissions datasource + # "class": "Chemicals" + # "unit": "kt" + # "compartment": "air" + # "flow": "CO" + # "desc": "CO Emissions from Stationary Combustion (kt)" + #"A-95": # Not a primary emissions datasource + # "class": "Chemicals" + # "unit": "kt" + # "compartment": "air" + # "flow": "NMVOC" + # "desc": "NMVOCs Emissions from Mobile Combustion (kt)" - "A-97": + "A-92": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" From 531e17df4146574ddb4b807b1f5fc319d42ace2f Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 28 Feb 2024 12:55:38 -0500 Subject: [PATCH 02/69] initial temporary updates to point to external data directory for zip file --- flowsa/data_source_scripts/EPA_GHGI.py | 44 ++++++++++++------- .../flowbyactivitymethods/EPA_GHGI.yaml | 10 ++--- 2 files changed, 31 insertions(+), 23 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index b6729488f..484122331 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -41,7 +41,7 @@ DROP_COLS = ["Unnamed: 0"] + list(pd.date_range( start="1990", end="2010", freq='Y').year.astype(str)) -YEARS = list(pd.date_range(start="2010", end="2021", freq='Y').year.astype(str)) +YEARS = list(pd.date_range(start="2010", end="2023", freq='Y').year.astype(str)) def ghg_url_helper(*, build_url, config, **_): @@ -160,14 +160,22 @@ def ghg_call(*, resp, url, year, config, **_): :param config: dictionary, items in FBA method yaml :return: pandas dataframe of original source data """ - with zipfile.ZipFile(io.BytesIO(resp.content), "r") as f: - frames = [] - if any(x in url for x in ['annex', 'Annex']): - is_annex = True - t_tables = config['Annex'] - else: - is_annex = False - t_tables = config['Tables'] + ## Temporary adjustment to read from local dir + frames = [] + with zipfile.ZipFile(externaldatapath / config.get('local_file'), "r") as f: + t_tables = {**config['Tables'], **config['Annex']} + ## End temp adjustment + + ## temporary comment this out + # with zipfile.ZipFile(io.BytesIO(resp.content), "r") as f: + # frames = [] + # if any(x in url for x in ['annex', 'Annex']): + # is_annex = True + # t_tables = config['Annex'] + # else: + # is_annex = False + # t_tables = config['Tables'] + ## temporary comment this out ^^ for chapter, tables in t_tables.items(): for table in tables: df = None @@ -177,12 +185,14 @@ def ghg_call(*, resp, url, year, config, **_): continue table_name = tables[table].get('table_name', table) - if is_annex: - path = config['path']['annex'] - else: - path = config['path']['base'] - path = (path.replace('{chapter}', chapter) - .replace('{table_name}', table_name)) + ## temporary comment this out and replace w/ new path + # if is_annex: + # path = config['path']['annex'] + # else: + # path = config['path']['base'] + # path = (path.replace('{chapter}', chapter) + # .replace('{table_name}', table_name)) + path = f'Table {table}.csv' # Handle special case of table 3-22 in external data folder if table == "3-22b": @@ -230,7 +240,7 @@ def ghg_call(*, resp, url, year, config, **_): elif table != '3-22b': # Except for 3-22b already as df, # Proceed with default case - df = pd.read_csv(data, skiprows=2, encoding="ISO-8859-1", + df = pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", thousands=",") if table == '3-13': @@ -817,4 +827,4 @@ def split_HFCs_by_type(fba: FlowByActivity, **_) -> FlowByActivity: import flowsa # fba = flowsa.return_FBA('EPA_GHGI_T_4_101', 2016) # df = clean_HFC_fba(fba) - fba = flowsa.generateflowbyactivity.main(year=2017, source='EPA_GHGI') + fba = flowsa.generateflowbyactivity.main(year=2022, source='EPA_GHGI') diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index 2147ea2d1..4db2a8b70 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -1,10 +1,7 @@ -##Need to update links and years author: US Environmental Protection Agency -source_name: 'Inventory of US Greenhouse Gas Emissions and Sinks: 1990-2020' -source_url: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2020 +source_name: 'Inventory of US Greenhouse Gas Emissions and Sinks: 1990-2022' +source_url: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2022 bib_id: EPA_GHGI -# api_name: EPA_GHGI -# api_key_required: false format: csv url: base_url: https://www.epa.gov/system/files/other-files/2022-05/Main%20Chapter.zip @@ -12,7 +9,8 @@ url: path: base: "Chapter Tables/{chapter}/Table {table_name}.csv" annex: "Annex/{chapter}/Table {table_name}.csv" -url_replace_fxn: !script_function:EPA_GHGI ghg_url_helper +local_file: "DraftGHGI-90-22_CSVs.zip" +# url_replace_fxn: !script_function:EPA_GHGI ghg_url_helper call_response_fxn: !script_function:EPA_GHGI ghg_call parse_response_fxn: !script_function:EPA_GHGI ghg_parse years: From af9cdfd49fe830fb92e9fd2cd02b50b62c19a683 Mon Sep 17 00:00:00 2001 From: ysrivas08 Date: Fri, 8 Mar 2024 14:15:49 -0500 Subject: [PATCH 03/69] Updated EPA_GHGI.py file to reflect updated table names for 2024 release --- flowsa/data_source_scripts/EPA_GHGI.py | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index 484122331..de0f26aa5 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -209,12 +209,12 @@ def ghg_call(*, resp, url, year, config, **_): log.error(f"error reading {table}") continue - if table in ['3-10', '5-28', 'A-73', 'A-97']: + if table in ['3-10', '5-28', 'A-71', 'A-92']: # Skip single row df = pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", thousands=",", decimal=".") - df = df.rename(columns={'2010a':'2010'}) - elif table == "3-22": + df = df.rename(columns={'2010a':'2010'}) ## Check year 2010 + elif table == "3-24": # Skip first two rows, as usual, but make headers the next 3 rows: df = pd.read_csv(data, skiprows=2, encoding="ISO-8859-1", header=[0, 1, 2], thousands=",") @@ -397,7 +397,7 @@ def ghg_parse(*, df_list, year, config, **_): meta = get_table_meta(source_name, config) - if table_name in ['3-22']: + if table_name in ['3-24']: df = df.melt(id_vars=id_vars, var_name=meta.get('melt_var'), value_name="FlowAmount") @@ -408,7 +408,7 @@ def ghg_parse(*, df_list, year, config, **_): df['Unit'] = name_unit['units'] df['Year'] = year - elif table_name in ['4-14', '4-33', '4-50', '4-80']: + elif table_name in ['4-16', '4-37', '4-57', '4-100']: # When Year is the first column in the table, need to make this correction df = df.rename(columns={'ActivityProducedBy': 'Year', 'Year': 'ActivityProducedBy'}) @@ -644,7 +644,7 @@ def ghg_parse(*, df_list, year, config, **_): if "Total" == apb_value or "Total " == apb_value: df = df.drop(index) - elif table_name == "A-73": + elif table_name == "A-71": fuel_name = "" A_79_unit_dict = {'Natural Gas': 'trillion cubic feet', 'Electricity': 'million kilowatt-hours'} @@ -665,25 +665,25 @@ def ghg_parse(*, df_list, year, config, **_): df.loc[index, 'Unit'] = A_79_unit_dict[fuel_name] else: - if table_name in ["4-48"]: + if table_name in ["4-55"]: # Assign activity as flow for technosphere flows df.loc[:, 'FlowType'] = 'TECHNOSPHERE_FLOW' df.loc[:, 'FlowName'] = df.loc[:, 'ActivityProducedBy'] - elif table_name in ["4-86", "4-96", "4-100"]: + elif table_name in ["4-106", "4-118", "4-122"]: # Table with flow names as Rows df.loc[:, 'FlowName'] = (df.loc[:, 'ActivityProducedBy'] .apply(lambda x: strip_char(x))) df = df[~df['FlowName'].str.contains("Total")] df.loc[:, 'ActivityProducedBy'] = meta.get('activity') - elif table_name in ["4-33", "4-50", "4-80"]: + elif table_name in ["4-37", "4-57", "4-100"]: # Table with units or flows as columns df.loc[:, 'ActivityProducedBy'] = meta.get('activity') df.loc[df['Unit'] == 'MMT CO2 Eq.', 'Unit'] = 'MMT CO2e' df.loc[df['Unit'].str.contains('kt'), 'Unit'] = 'kt' - elif table_name in ["4-14", "4-102", "A-95"]: + elif table_name in ["4-16", "4-124", "A-95"]: # Remove notes from activity names for index, row in df.iterrows(): apb_value = strip_char(row["ActivityProducedBy"].split("(")[0]) @@ -705,7 +705,7 @@ def ghg_parse(*, df_list, year, config, **_): # Remove commas from numbers again in case any were missed: df["FlowAmount"].replace(',', '', regex=True, inplace=True) cleaned_list.append(df) - +# export to csv and check return cleaned_list @@ -796,7 +796,7 @@ def split_HFCs_by_type(fba: FlowByActivity, **_) -> FlowByActivity: attr: getattr(fba, attr) for attr in fba._metadata + ['_metadata'] } original_sum = fba.FlowAmount.sum() - tbl = fba.config.get('clean_parameter')['flow_fba'] # 4-100 + tbl = fba.config.get('clean_parameter')['flow_fba'] # 4-100 #Now 4-122 splits = load_fba_w_standardized_units(datasource=tbl, year=fba['Year'][0], download_FBA_if_missing=True) From 651d6e7ca40f98849cfaf3790e7ef59c106444bf Mon Sep 17 00:00:00 2001 From: Ben Young Date: Mon, 11 Mar 2024 21:58:59 -0400 Subject: [PATCH 04/69] consolidate USDA_CoA modules --- .../{USDA_CoA_Cropland.py => USDA_CoA.py} | 217 +++++++++++++++++- .../USDA_CoA_Cropland_NAICS.py | 153 ------------ .../data_source_scripts/USDA_CoA_Livestock.py | 142 ------------ .../USDA_CoA_Cropland.yaml | 7 +- .../USDA_CoA_Cropland_NAICS.yaml | 7 +- .../USDA_CoA_Livestock.yaml | 7 +- 6 files changed, 219 insertions(+), 314 deletions(-) rename flowsa/data_source_scripts/{USDA_CoA_Cropland.py => USDA_CoA.py} (54%) delete mode 100644 flowsa/data_source_scripts/USDA_CoA_Cropland_NAICS.py delete mode 100644 flowsa/data_source_scripts/USDA_CoA_Livestock.py diff --git a/flowsa/data_source_scripts/USDA_CoA_Cropland.py b/flowsa/data_source_scripts/USDA_CoA.py similarity index 54% rename from flowsa/data_source_scripts/USDA_CoA_Cropland.py rename to flowsa/data_source_scripts/USDA_CoA.py index fb7a23ea6..7469f8e31 100644 --- a/flowsa/data_source_scripts/USDA_CoA_Cropland.py +++ b/flowsa/data_source_scripts/USDA_CoA.py @@ -1,9 +1,10 @@ -# USDA_CoA_Cropland.py (flowsa) +# USDA_CoA.py (flowsa) # !/usr/bin/env python3 # coding=utf-8 """ -Functions used to import and parse USDA Census of Ag Cropland data +Functions used to import and parse USDA Census of Ag Cropland data, +Livestock data, and Cropland data in NAICS format """ import json @@ -21,6 +22,7 @@ def CoA_Cropland_URL_helper(*, build_url, config, **_): string to be replaced with info specific to the data year. This function does not parse the data, only modifies the urls from which data is obtained. + Used for CoA_Cropland :param build_url: string, base url :param config: dictionary, items in FBA method yaml :return: list, urls to call, concat, parse, format into Flow-By-Activity @@ -73,7 +75,45 @@ def CoA_Cropland_URL_helper(*, build_url, config, **_): return urls -def coa_cropland_call(*, resp, **_): +def CoA_URL_helper(*, build_url, config, **_): + """ + This helper function uses the "build_url" input from generateflowbyactivity.py, + which is a base url for data imports that requires parts of the url text + string to be replaced with info specific to the data year. This function + does not parse the data, only modifies the urls from which data is + obtained. + Used for CoA_Cropland_NAICS and CoA_Livestock + :param build_url: string, base url + :param config: dictionary, items in FBA method yaml + :return: list, urls to call, concat, parse, format into Flow-By-Activity + format + """ + # initiate url list for coa cropland data + urls = [] + + # call on state acronyms from common.py (and remove entry for DC) + state_abbrevs = abbrev_us_state + state_abbrevs = {k: v for (k, v) in state_abbrevs.items() if k != "DC"} + + # replace "__aggLevel__" in build_url to create three urls + for x in config['agg_levels']: + # at national level, remove the text string calling for state acronyms + if x == 'NATIONAL': + url = build_url + url = url.replace("__aggLevel__", x) + url = url.replace("&state_alpha=__stateAlpha__", "") + urls.append(url) + else: + # substitute in state acronyms for state and county url calls + for z in state_abbrevs: + url = build_url + url = url.replace("__aggLevel__", x) + url = url.replace("__stateAlpha__", z) + urls.append(url) + return urls + + +def coa_call(*, resp, **_): """ Convert response for calling url to pandas dataframe, begin parsing df into FBA format @@ -217,22 +257,179 @@ def coa_cropland_parse(*, df_list, year, **_): df.loc[df['FlowAmount'] == "(D)", 'FlowAmount'] = WITHDRAWN_KEYWORD df.loc[df['FlowAmount'] == "(Z)", 'FlowAmount'] = WITHDRAWN_KEYWORD df['FlowAmount'] = df['FlowAmount'].str.replace(",", "", regex=True) + # add location system based on year of data + df = assign_fips_location_system(df, year) + # Add hardcoded data + df['Class'] = np.where(df["Unit"] == 'ACRES', "Land", "Other") + df['SourceName'] = "USDA_CoA_Cropland" + df['FlowType'] = 'ELEMENTARY_FLOW' + df = coa_common_parse(df) + + return df + + +def coa_livestock_parse(*, df_list, year, **_): + """ + Combine, parse, and format the provided dataframes + :param df_list: list of dataframes to concat and format + :param args: dictionary, used to run generateflowbyactivity.py + ('year' and 'source') + :return: df, parsed and partially formatted to flowbyactivity + specifications + """ + df = pd.concat(df_list, sort=False) + # # specify desired data based on domain_desc + df = df[df['domain_desc'].str.contains("INVENTORY|TOTAL")] + df = df[~df['domain_desc'].str.contains( + "ECONOMIC CLASS|NAICS|FARM SALES|AREA OPERATED")] + # drop any specialized production practices + df = df[df['prodn_practice_desc'] == 'ALL PRODUCTION PRACTICES'] + # drop specialized class descriptions + df = df[~df['class_desc'].str.contains("BREEDING|MARKET")] + # drop unused columns + df = df.drop(columns=['agg_level_desc', 'location_desc', 'state_alpha', + 'sector_desc', 'country_code', 'begin_code', + 'watershed_code', 'reference_period_desc', + 'asd_desc', 'county_name', 'source_desc', + 'congr_district_code', 'asd_code', 'week_ending', + 'freq_desc', 'load_time', 'zip_5', + 'watershed_desc', 'region_desc', 'state_ansi', + 'state_name', 'country_name', 'county_ansi', + 'end_code', 'group_desc', 'util_practice_desc']) + # create FIPS column by combining existing columns + df.loc[df['county_code'] == '', 'county_code'] = '000' + df['Location'] = df['state_fips_code'] + df['county_code'] + df.loc[df['Location'] == '99000', 'Location'] = US_FIPS + # combine column information to create activity information, + # and create two new columns for activities + # drop this column later + df['ActivityProducedBy'] = df['commodity_desc'] + ', ' + df['class_desc'] + # not interested in all class_desc data + df['ActivityProducedBy'] = df['ActivityProducedBy'].str.replace( + ", ALL CLASSES", "", regex=True) + # rename columns to match flowbyactivity format + df = df.rename(columns={"Value": "FlowAmount", + "unit_desc": "FlowName", + "year": "Year", + "CV (%)": "Spread", + "domaincat_desc": "Compartment", + "short_desc": "Description"}) + # drop remaining unused columns + df = df.drop(columns=['class_desc', 'commodity_desc', 'state_fips_code', + 'county_code', 'statisticcat_desc', + 'prodn_practice_desc']) + # modify contents of flowamount column, "D" is supressed data, + # "z" means less than half the unit is shown + df['FlowAmount'] = df['FlowAmount'].str.strip() # trim whitespace + df.loc[df['FlowAmount'] == "(D)", 'FlowAmount'] = WITHDRAWN_KEYWORD + # df.loc[df['FlowAmount'] == "(Z)", 'FlowAmount'] = withdrawn_keyword + df['FlowAmount'] = df['FlowAmount'].str.replace(",", "", regex=True) + # add location system based on year of data + df = assign_fips_location_system(df, year) + # # Add hardcoded data + df['Class'] = "Other" + df['SourceName'] = "USDA_CoA_Livestock" + df['Unit'] = "p" + df = coa_common_parse(df) + + return df + + +def coa_cropland_NAICS_parse(*, df_list, year, **_): + """ + Combine, parse, and format the provided dataframes + :param df_list: list of dataframes to concat and format + :param year: year + :return: df, parsed and partially formatted to flowbyactivity + specifications + """ + df = pd.concat(df_list, sort=False) + # specify desired data based on domain_desc + df = df[df['domain_desc'] == 'NAICS CLASSIFICATION'] + # only want ag land and farm operations + df = df[df['short_desc'].str.contains("AG LAND|FARM OPERATIONS")] + # drop unused columns + df = df.drop(columns=['agg_level_desc', 'location_desc', 'state_alpha', + 'sector_desc', 'country_code', 'begin_code', + 'watershed_code', 'reference_period_desc', + 'asd_desc', 'county_name', 'source_desc', + 'congr_district_code', 'asd_code', 'week_ending', + 'freq_desc', 'load_time', 'zip_5', + 'watershed_desc', 'region_desc', 'state_ansi', + 'state_name', 'country_name', 'county_ansi', + 'end_code', 'group_desc']) + # create FIPS column by combining existing columns + df.loc[df['county_code'] == '', 'county_code'] = '000' + df['Location'] = df['state_fips_code'] + df['county_code'] + df.loc[df['Location'] == '99000', 'Location'] = US_FIPS + # NAICS classification data + # flowname + df.loc[:, 'FlowName'] = df['commodity_desc'] + ', ' + \ + df['class_desc'] + ', ' + df['prodn_practice_desc'] + df.loc[:, 'FlowName'] = df['FlowName'].str.replace( + ", ALL PRODUCTION PRACTICES", "", regex=True) + df.loc[:, 'FlowName'] = df['FlowName'].str.replace( + ", ALL CLASSES", "", regex=True) + # activity consumed/produced by + df.loc[:, 'Activity'] = df['domaincat_desc'] + df.loc[:, 'Activity'] = df['Activity'].str.replace( + "NAICS CLASSIFICATION: ", "", regex=True) + df.loc[:, 'Activity'] = df['Activity'].str.replace('[()]+', '', regex=True) + df['ActivityProducedBy'] = np.where( + df["unit_desc"] == 'OPERATIONS', df["Activity"], '') + df['ActivityConsumedBy'] = np.where( + df["unit_desc"] == 'ACRES', df["Activity"], '') + + # rename columns to match flowbyactivity format + df = df.rename(columns={"Value": "FlowAmount", "unit_desc": "Unit", + "year": "Year", "CV (%)": "Spread", + "short_desc": "Description"}) + # drop remaining unused columns + df = df.drop(columns=['Activity', 'class_desc', 'commodity_desc', + 'domain_desc', 'state_fips_code', 'county_code', + 'statisticcat_desc', 'prodn_practice_desc', + 'domaincat_desc', 'util_practice_desc']) + # modify contents of units column + df.loc[df['Unit'] == 'OPERATIONS', 'Unit'] = 'p' + # modify contents of flowamount column, "D" is supressed data, + # "z" means less than half the unit is shown + df['FlowAmount'] = df['FlowAmount'].str.strip() # trim whitespace + df.loc[df['FlowAmount'] == "(D)", 'FlowAmount'] = WITHDRAWN_KEYWORD + df.loc[df['FlowAmount'] == "(Z)", 'FlowAmount'] = WITHDRAWN_KEYWORD + df['FlowAmount'] = df['FlowAmount'].str.replace(",", "", regex=True) + + # drop Descriptions that contain certain phrases, as these + # data are included in other categories + df = df[~df['Description'].str.contains( + 'FRESH MARKET|PROCESSING|ENTIRE CROP|NONE OF CROP|PART OF CROP')] + # drop Descriptions that contain certain phrases - + # only occur in AG LAND data + df = df[~df['Description'].str.contains( + 'INSURANCE|OWNED|RENTED|FAILED|FALLOW|IDLE')].reset_index(drop=True) + # add location system based on year of data + df = assign_fips_location_system(df, year) + # Add hardcoded data + df['Class'] = np.where(df["Unit"] == 'ACRES', "Land", "Other") + df['SourceName'] = "USDA_CoA_Cropland_NAICS" + df = coa_common_parse(df) + + return df + +def coa_common_parse(df): # USDA CoA 2017 states that (H) means CV >= 99.95, # therefore replacing with 99.95 so can convert column to int # (L) is a CV of <= 0.05 - df['Spread'] = df['Spread'].str.strip() + df['Spread'] = df['Spread'].str.strip() # trim whitespace df.loc[df['Spread'] == "(H)", 'Spread'] = 99.95 df.loc[df['Spread'] == "(L)", 'Spread'] = 0.05 df.loc[df['Spread'] == "", 'Spread'] = None df.loc[df['Spread'] == "(D)", 'Spread'] = WITHDRAWN_KEYWORD - # add location system based on year of data - df = assign_fips_location_system(df, year) - # Add hardcoded data - df['Class'] = np.where(df["Unit"] == 'ACRES', "Land", "Other") - df['SourceName'] = "USDA_CoA_Cropland" - df['FlowType'] = 'ELEMENTARY_FLOW' df['MeasureofSpread'] = "RSD" df['DataReliability'] = 5 # tmp df['DataCollection'] = 2 return df + +if __name__ == "__main__": + import flowsa + fba = flowsa.generateflowbyactivity.main(year=2022, source='USDA_CoA_Cropland') diff --git a/flowsa/data_source_scripts/USDA_CoA_Cropland_NAICS.py b/flowsa/data_source_scripts/USDA_CoA_Cropland_NAICS.py deleted file mode 100644 index b53f2df3e..000000000 --- a/flowsa/data_source_scripts/USDA_CoA_Cropland_NAICS.py +++ /dev/null @@ -1,153 +0,0 @@ -# USDA_CoA_Cropland.py (flowsa) -# !/usr/bin/env python3 -# coding=utf-8 - -""" -Functions used to import and parse USDA Census of Ag Cropland data -in NAICS format -""" - -import json -import numpy as np -import pandas as pd -from flowsa.location import US_FIPS, abbrev_us_state -from flowsa.common import WITHDRAWN_KEYWORD -from flowsa.flowbyfunctions import assign_fips_location_system - - -def CoA_Cropland_NAICS_URL_helper(*, build_url, config, **_): - """ - This helper function uses the "build_url" input from generateflowbyactivity.py, - which is a base url for data imports that requires parts of the url text - string to be replaced with info specific to the data year. This function - does not parse the data, only modifies the urls from which data is - obtained. - :param build_url: string, base url - :param config: dictionary, items in FBA method yaml - :return: list, urls to call, concat, parse, format into Flow-By-Activity - format - """ - # initiate url list for coa cropland data - urls = [] - - # call on state acronyms from common.py (and remove entry for DC) - state_abbrevs = abbrev_us_state - state_abbrevs = {k: v for (k, v) in state_abbrevs.items() if k != "DC"} - - # replace "__aggLevel__" in build_url to create three urls - for x in config['agg_levels']: - # at national level, remove the text string calling for state acronyms - if x == 'NATIONAL': - url = build_url - url = url.replace("__aggLevel__", x) - url = url.replace("&state_alpha=__stateAlpha__", "") - urls.append(url) - else: - # substitute in state acronyms for state and county url calls - for z in state_abbrevs: - url = build_url - url = url.replace("__aggLevel__", x) - url = url.replace("__stateAlpha__", z) - urls.append(url) - return urls - - -def coa_cropland_NAICS_call(*, resp, **_): - """ - Convert response for calling url to pandas dataframe, - begin parsing df into FBA format - :param resp: df, response from url call - :return: pandas dataframe of original source data - """ - cropland_json = json.loads(resp.text) - df_cropland = pd.DataFrame(data=cropland_json["data"]) - return df_cropland - - -def coa_cropland_NAICS_parse(*, df_list, year, **_): - """ - Combine, parse, and format the provided dataframes - :param df_list: list of dataframes to concat and format - :param year: year - :return: df, parsed and partially formatted to flowbyactivity - specifications - """ - df = pd.concat(df_list, sort=False) - # specify desired data based on domain_desc - df = df[df['domain_desc'] == 'NAICS CLASSIFICATION'] - # only want ag land and farm operations - df = df[df['short_desc'].str.contains("AG LAND|FARM OPERATIONS")] - # drop unused columns - df = df.drop(columns=['agg_level_desc', 'location_desc', 'state_alpha', - 'sector_desc', 'country_code', 'begin_code', - 'watershed_code', 'reference_period_desc', - 'asd_desc', 'county_name', 'source_desc', - 'congr_district_code', 'asd_code', 'week_ending', - 'freq_desc', 'load_time', 'zip_5', - 'watershed_desc', 'region_desc', 'state_ansi', - 'state_name', 'country_name', 'county_ansi', - 'end_code', 'group_desc']) - # create FIPS column by combining existing columns - df.loc[df['county_code'] == '', 'county_code'] = '000' - df['Location'] = df['state_fips_code'] + df['county_code'] - df.loc[df['Location'] == '99000', 'Location'] = US_FIPS - # NAICS classification data - # flowname - df.loc[:, 'FlowName'] = df['commodity_desc'] + ', ' + \ - df['class_desc'] + ', ' + df['prodn_practice_desc'] - df.loc[:, 'FlowName'] = df['FlowName'].str.replace( - ", ALL PRODUCTION PRACTICES", "", regex=True) - df.loc[:, 'FlowName'] = df['FlowName'].str.replace( - ", ALL CLASSES", "", regex=True) - # activity consumed/produced by - df.loc[:, 'Activity'] = df['domaincat_desc'] - df.loc[:, 'Activity'] = df['Activity'].str.replace( - "NAICS CLASSIFICATION: ", "", regex=True) - df.loc[:, 'Activity'] = df['Activity'].str.replace('[()]+', '', regex=True) - df['ActivityProducedBy'] = np.where( - df["unit_desc"] == 'OPERATIONS', df["Activity"], '') - df['ActivityConsumedBy'] = np.where( - df["unit_desc"] == 'ACRES', df["Activity"], '') - - # rename columns to match flowbyactivity format - df = df.rename(columns={"Value": "FlowAmount", "unit_desc": "Unit", - "year": "Year", "CV (%)": "Spread", - "short_desc": "Description"}) - # drop remaining unused columns - df = df.drop(columns=['Activity', 'class_desc', 'commodity_desc', - 'domain_desc', 'state_fips_code', 'county_code', - 'statisticcat_desc', 'prodn_practice_desc', - 'domaincat_desc', 'util_practice_desc']) - # modify contents of units column - df.loc[df['Unit'] == 'OPERATIONS', 'Unit'] = 'p' - # modify contents of flowamount column, "D" is supressed data, - # "z" means less than half the unit is shown - df['FlowAmount'] = df['FlowAmount'].str.strip() # trim whitespace - df.loc[df['FlowAmount'] == "(D)", 'FlowAmount'] = WITHDRAWN_KEYWORD - df.loc[df['FlowAmount'] == "(Z)", 'FlowAmount'] = WITHDRAWN_KEYWORD - df['FlowAmount'] = df['FlowAmount'].str.replace(",", "", regex=True) - # USDA CoA 2017 states that (H) means CV >= 99.95, - # therefore replacing with 99.95 so can convert column to int - # (L) is a CV of <= 0.05 - df['Spread'] = df['Spread'].str.strip() # trim whitespace - df.loc[df['Spread'] == "(H)", 'Spread'] = 99.95 - df.loc[df['Spread'] == "(L)", 'Spread'] = 0.05 - df.loc[df['Spread'] == "", 'Spread'] = None - df.loc[df['Spread'] == "(D)", 'Spread'] = WITHDRAWN_KEYWORD - # drop Descriptions that contain certain phrases, as these - # data are included in other categories - df = df[~df['Description'].str.contains( - 'FRESH MARKET|PROCESSING|ENTIRE CROP|NONE OF CROP|PART OF CROP')] - # drop Descriptions that contain certain phrases - - # only occur in AG LAND data - df = df[~df['Description'].str.contains( - 'INSURANCE|OWNED|RENTED|FAILED|FALLOW|IDLE')].reset_index(drop=True) - # add location system based on year of data - df = assign_fips_location_system(df, year) - # Add hardcoded data - df['Class'] = np.where(df["Unit"] == 'ACRES', "Land", "Other") - df['SourceName'] = "USDA_CoA_Cropland_NAICS" - df['MeasureofSpread'] = "RSD" - df['DataReliability'] = 5 # tmp - df['DataCollection'] = 2 - return df diff --git a/flowsa/data_source_scripts/USDA_CoA_Livestock.py b/flowsa/data_source_scripts/USDA_CoA_Livestock.py deleted file mode 100644 index b11580f6c..000000000 --- a/flowsa/data_source_scripts/USDA_CoA_Livestock.py +++ /dev/null @@ -1,142 +0,0 @@ -# USDA_CoA_Livestock.py (flowsa) -# !/usr/bin/env python3 -# coding=utf-8 - -""" -Functions used to import and parse USDA Census of Ag Livestock data -""" - -import json -import pandas as pd -from flowsa.location import US_FIPS, abbrev_us_state -from flowsa.common import WITHDRAWN_KEYWORD -from flowsa.flowbyfunctions import assign_fips_location_system - - -def CoA_Livestock_URL_helper(*, build_url, config, **_): - """ - This helper function uses the "build_url" input from generateflowbyactivity.py, - which is a base url for data imports that requires parts of the url text - string to be replaced with info specific to the data year. This function - does not parse the data, only modifies the urls from which data is - obtained. - :param build_url: string, base url - :param config: dictionary, items in FBA method yaml - :return: list, urls to call, concat, parse, format into Flow-By-Activity - format - """ - # initiate url list for coa cropland data - urls_livestock = [] - - # call on state acronyms from common.py (and remove entry for DC) - state_abbrev = abbrev_us_state - state_abbrev = {k: v for (k, v) in state_abbrev.items() if k != "DC"} - - # replace "__aggLevel__" in build_url to create three urls - for x in config['agg_levels']: - # at national level, remove the text string calling for state acronyms - if x == 'NATIONAL': - url_ls = build_url - url_ls = url_ls.replace("__aggLevel__", x) - url_ls = url_ls.replace("&state_alpha=__stateAlpha__", "") - urls_livestock.append(url_ls) - else: - # substitute in state acronyms for state and county url calls - for y in state_abbrev: - url_ls = build_url - url_ls = url_ls.replace("__aggLevel__", x) - url_ls = url_ls.replace("__stateAlpha__", y) - urls_livestock.append(url_ls) - return urls_livestock - - -def coa_livestock_call(*, resp, **_): - """ - Convert response for calling url to pandas dataframe, begin parsing - df into FBA format - :param url: string, url - :param resp: df, response from url call - :param args: dictionary, arguments specified when running - generateflowbyactivity.py ('year' and 'source') - :return: pandas dataframe of original source data - """ - livestock_json = json.loads(resp.text) - # Convert response to dataframe - df_livestock = pd.DataFrame(data=livestock_json["data"]) - return df_livestock - - -def coa_livestock_parse(*, df_list, year, **_): - """ - Combine, parse, and format the provided dataframes - :param df_list: list of dataframes to concat and format - :param args: dictionary, used to run generateflowbyactivity.py - ('year' and 'source') - :return: df, parsed and partially formatted to flowbyactivity - specifications - """ - df = pd.concat(df_list, sort=False) - # # specify desired data based on domain_desc - df = df[df['domain_desc'].str.contains("INVENTORY|TOTAL")] - df = df[~df['domain_desc'].str.contains( - "ECONOMIC CLASS|NAICS|FARM SALES|AREA OPERATED")] - # drop any specialized production practices - df = df[df['prodn_practice_desc'] == 'ALL PRODUCTION PRACTICES'] - # drop specialized class descriptions - df = df[~df['class_desc'].str.contains("BREEDING|MARKET")] - # drop unused columns - df = df.drop(columns=['agg_level_desc', 'location_desc', 'state_alpha', - 'sector_desc', 'country_code', 'begin_code', - 'watershed_code', 'reference_period_desc', - 'asd_desc', 'county_name', 'source_desc', - 'congr_district_code', 'asd_code', 'week_ending', - 'freq_desc', 'load_time', 'zip_5', - 'watershed_desc', 'region_desc', 'state_ansi', - 'state_name', 'country_name', 'county_ansi', - 'end_code', 'group_desc', 'util_practice_desc']) - # create FIPS column by combining existing columns - df.loc[df['county_code'] == '', 'county_code'] = '000' - df['Location'] = df['state_fips_code'] + df['county_code'] - df.loc[df['Location'] == '99000', 'Location'] = US_FIPS - # combine column information to create activity information, - # and create two new columns for activities - # drop this column later - df['ActivityProducedBy'] = df['commodity_desc'] + ', ' + df['class_desc'] - # not interested in all class_desc data - df['ActivityProducedBy'] = df['ActivityProducedBy'].str.replace( - ", ALL CLASSES", "", regex=True) - # rename columns to match flowbyactivity format - df = df.rename(columns={"Value": "FlowAmount", - "unit_desc": "FlowName", - "year": "Year", - "CV (%)": "Spread", - "domaincat_desc": "Compartment", - "short_desc": "Description"}) - # drop remaining unused columns - df = df.drop(columns=['class_desc', 'commodity_desc', 'state_fips_code', - 'county_code', 'statisticcat_desc', - 'prodn_practice_desc']) - # modify contents of flowamount column, "D" is supressed data, - # "z" means less than half the unit is shown - df['FlowAmount'] = df['FlowAmount'].str.strip() # trim whitespace - df.loc[df['FlowAmount'] == "(D)", 'FlowAmount'] = WITHDRAWN_KEYWORD - # df.loc[df['FlowAmount'] == "(Z)", 'FlowAmount'] = withdrawn_keyword - df['FlowAmount'] = df['FlowAmount'].str.replace(",", "", regex=True) - # # USDA CoA 2017 states that (H) means CV >= 99.95, - # therefore replacing with 99.95 so can convert column to int - # # (L) is a CV of <= 0.05 - df['Spread'] = df['Spread'].str.strip() # trim whitespace - df.loc[df['Spread'] == "(H)", 'Spread'] = 99.95 - df.loc[df['Spread'] == "(L)", 'Spread'] = 0.05 - df.loc[df['Spread'] == "", 'Spread'] = None - df.loc[df['Spread'] == "(D)", 'Spread'] = WITHDRAWN_KEYWORD - # add location system based on year of data - df = assign_fips_location_system(df, year) - # # Add hardcoded data - df['Class'] = "Other" - df['SourceName'] = "USDA_CoA_Livestock" - df['Unit'] = "p" - df['MeasureofSpread'] = "RSD" - df['DataReliability'] = 5 # tmp - df['DataCollection'] = 2 - return df diff --git a/flowsa/methods/flowbyactivitymethods/USDA_CoA_Cropland.yaml b/flowsa/methods/flowbyactivitymethods/USDA_CoA_Cropland.yaml index c47f80e41..d2044f314 100644 --- a/flowsa/methods/flowbyactivitymethods/USDA_CoA_Cropland.yaml +++ b/flowsa/methods/flowbyactivitymethods/USDA_CoA_Cropland.yaml @@ -31,12 +31,13 @@ url: # __year__ is used to trigger a replace function to ubstitute in years year: __year__ key_param: key -url_replace_fxn: !script_function:USDA_CoA_Cropland CoA_Cropland_URL_helper -call_response_fxn: !script_function:USDA_CoA_Cropland coa_cropland_call -parse_response_fxn: !script_function:USDA_CoA_Cropland coa_cropland_parse +url_replace_fxn: !script_function:USDA_CoA CoA_Cropland_URL_helper +call_response_fxn: !script_function:USDA_CoA coa_call +parse_response_fxn: !script_function:USDA_CoA coa_cropland_parse years: - 2012 - 2017 +- 2022 sector_levels: - CROPS - ECONOMICS # used to get total irrigated cropland diff --git a/flowsa/methods/flowbyactivitymethods/USDA_CoA_Cropland_NAICS.yaml b/flowsa/methods/flowbyactivitymethods/USDA_CoA_Cropland_NAICS.yaml index 83ca73981..33cd5b1fe 100644 --- a/flowsa/methods/flowbyactivitymethods/USDA_CoA_Cropland_NAICS.yaml +++ b/flowsa/methods/flowbyactivitymethods/USDA_CoA_Cropland_NAICS.yaml @@ -26,12 +26,13 @@ url: # __year__ is used to trigger a replace function to substitute in year year: __year__ key_param: key -url_replace_fxn: !script_function:USDA_CoA_Cropland_NAICS CoA_Cropland_NAICS_URL_helper -call_response_fxn: !script_function:USDA_CoA_Cropland_NAICS coa_cropland_NAICS_call -parse_response_fxn: !script_function:USDA_CoA_Cropland_NAICS coa_cropland_NAICS_parse +url_replace_fxn: !script_function:USDA_CoA CoA_URL_helper +call_response_fxn: !script_function:USDA_CoA coa_call +parse_response_fxn: !script_function:USDA_CoA coa_cropland_NAICS_parse years: - 2012 - 2017 +- 2022 agg_levels: - NATIONAL - STATE diff --git a/flowsa/methods/flowbyactivitymethods/USDA_CoA_Livestock.yaml b/flowsa/methods/flowbyactivitymethods/USDA_CoA_Livestock.yaml index 152468d6b..a3736ffb2 100644 --- a/flowsa/methods/flowbyactivitymethods/USDA_CoA_Livestock.yaml +++ b/flowsa/methods/flowbyactivitymethods/USDA_CoA_Livestock.yaml @@ -24,12 +24,13 @@ url: # __year__ is used to trigger a replace function to substitute in year year: __year__ key_param: key -url_replace_fxn: !script_function:USDA_CoA_Livestock CoA_Livestock_URL_helper -call_response_fxn: !script_function:USDA_CoA_Livestock coa_livestock_call -parse_response_fxn: !script_function:USDA_CoA_Livestock coa_livestock_parse +url_replace_fxn: !script_function:USDA_CoA CoA_URL_helper +call_response_fxn: !script_function:USDA_CoA coa_call +parse_response_fxn: !script_function:USDA_CoA coa_livestock_parse years: - 2012 - 2017 +- 2022 agg_levels: - NATIONAL - STATE From 588f49a3deecaeef09b127ef7a220cbccdf273dd Mon Sep 17 00:00:00 2001 From: Ben Young Date: Fri, 15 Mar 2024 06:42:06 -0400 Subject: [PATCH 05/69] update USGS_MYB_Lead to 2020 --- flowsa/data_source_scripts/USGS_MYB.py | 7 ++++--- .../flowbyactivitymethods/USGS_MYB_Lead.yaml | 14 ++++++++------ 2 files changed, 12 insertions(+), 9 deletions(-) diff --git a/flowsa/data_source_scripts/USGS_MYB.py b/flowsa/data_source_scripts/USGS_MYB.py index fbf056280..6ad42e324 100644 --- a/flowsa/data_source_scripts/USGS_MYB.py +++ b/flowsa/data_source_scripts/USGS_MYB.py @@ -2011,7 +2011,9 @@ def usgs_lead_parse(*, df_list, source, year, **_): row_to_use = ["Primary lead, refined content, " "domestic ores and base bullion", "Secondary lead, lead content", - "Lead ore and concentrates", "Lead in base bullion", + "Lead ore and concentrates", + "Lead in base bullion", + "Lead in base bullion, lead content", "Base bullion"] import_export = ["Exports, lead content:", "Imports for consumption, lead content:"] @@ -2039,8 +2041,7 @@ def usgs_lead_parse(*, df_list, source, year, **_): data["FlowAmount"] = df.iloc[index]["FlowAmount"] dataframe = pd.concat([dataframe, pd.DataFrame([data])], ignore_index=True) - dataframe = assign_fips_location_system( - dataframe, str(year)) + dataframe = assign_fips_location_system(dataframe, str(year)) # standardize activityproducedby naming dataframe['ActivityProducedBy'] = np.where( dataframe['ActivityProducedBy'] == "Base bullion", diff --git a/flowsa/methods/flowbyactivitymethods/USGS_MYB_Lead.yaml b/flowsa/methods/flowbyactivitymethods/USGS_MYB_Lead.yaml index feaca5005..2cdd7bfca 100644 --- a/flowsa/methods/flowbyactivitymethods/USGS_MYB_Lead.yaml +++ b/flowsa/methods/flowbyactivitymethods/USGS_MYB_Lead.yaml @@ -2,8 +2,8 @@ --- source_name: USGS Mineral Yearbook Lead citable_url: https://www.usgs.gov/centers/national-minerals-information-center/lead-statistics-and-information -date_generated: '2023-01-26' -years_available: 2012-2019 +date_generated: '2024-03-15' +years_available: 2012-2020 format: xlsx url: base_url: https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/__FILENAME__ @@ -19,11 +19,13 @@ years: - 2017 - 2018 - 2019 + - 2020 filename_replacement: - 2019: s3fs-public/media/files/myb1-2019-lead-advrel_0.xlsx - 2018: s3fs-public/media/files/myb1-2019-lead-advrel_0.xlsx - 2017: s3fs-public/media/files/myb1-2019-lead-advrel_0.xlsx - 2016: s3fs-public/media/files/myb1-2019-lead-advrel_0.xlsx + 2020: s3fs-public/media/files/myb1-2020-lead-ert.xlsx + 2019: s3fs-public/media/files/myb1-2020-lead-ert.xlsx + 2018: s3fs-public/media/files/myb1-2020-lead-ert.xlsx + 2017: s3fs-public/media/files/myb1-2020-lead-ert.xlsx + 2016: s3fs-public/media/files/myb1-2020-lead-ert.xlsx 2015: s3fs-public/media/files/myb1-2019-lead-advrel_0.xlsx 2014: s3fs-public/media/files/myb1-2018-lead-advrel.xlsx 2013: atoms/files/myb1-2017-lead.xls From 611a9ce0b09fdba65e3751cddda7519c4001cb5f Mon Sep 17 00:00:00 2001 From: Ben Young Date: Fri, 15 Mar 2024 09:48:26 -0400 Subject: [PATCH 06/69] update CoA crosswalks with new activities in 2022 --- .../NAICS_Crosswalk_USDA_CoA_Cropland.csv | 8 ++++++++ .../NAICS_Crosswalk_USDA_CoA_Livestock.csv | 3 ++- .../write_Crosswalk_USDA_CoA_Cropland.py | 17 +++++++++++++++-- .../write_Crosswalk_USDA_CoA_Livestock.py | 13 ++++++++++--- 4 files changed, 35 insertions(+), 6 deletions(-) diff --git a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_USDA_CoA_Cropland.csv b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_USDA_CoA_Cropland.csv index ac6030920..3359f5b6d 100644 --- a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_USDA_CoA_Cropland.csv +++ b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_USDA_CoA_Cropland.csv @@ -47,6 +47,7 @@ USDA_CoA_Cropland,CUT CHRISTMAS TREES,NAICS_2012_Code,111421A, USDA_CoA_Cropland,SHORT TERM WOODY CROPS,NAICS_2012_Code,111421B, USDA_CoA_Cropland,TOBACCO,NAICS_2012_Code,11191, USDA_CoA_Cropland,COTTON,NAICS_2012_Code,11192, +USDA_CoA_Cropland,"SUGARCANE, SUGAR & SEED",NAICS_2012_Code,111930, USDA_CoA_Cropland,"SUGARCANE, SUGAR",NAICS_2012_Code,111930A, USDA_CoA_Cropland,"SUGARCANE, SEED",NAICS_2012_Code,111930B, USDA_CoA_Cropland,HAY & HAYLAGE,NAICS_2012_Code,11194, @@ -64,5 +65,12 @@ USDA_CoA_Cropland,MISCANTHUS,NAICS_2012_Code,111998H, USDA_CoA_Cropland,"MINT, TEA LEAVES",NAICS_2012_Code,111998K, USDA_CoA_Cropland,SWITCHGRASS,NAICS_2012_Code,111998L, USDA_CoA_Cropland,"FIELD CROPS, OTHER",NAICS_2012_Code,111998M, +USDA_CoA_Cropland,"HEMP, INDUSTRIAL, CLONES & TRANSPLANTS",NAICS_2012_Code,111998N, +USDA_CoA_Cropland,"HEMP, INDUSTRIAL, COMPLETE GROWS",NAICS_2012_Code,111998O, +USDA_CoA_Cropland,"HEMP, INDUSTRIAL, FIBER",NAICS_2012_Code,111998P, +USDA_CoA_Cropland,"HEMP, INDUSTRIAL, FLORAL",NAICS_2012_Code,111998Q, +USDA_CoA_Cropland,"HEMP, INDUSTRIAL, GRAIN",NAICS_2012_Code,111998R, +USDA_CoA_Cropland,"HEMP, INDUSTRIAL, OTHER USAGE",NAICS_2012_Code,111998S, +USDA_CoA_Cropland,"HEMP, INDUSTRIAL, SEED",NAICS_2012_Code,111998T, USDA_CoA_Cropland,"AG LAND, (EXCL HARVESTED CROPLAND)",NAICS_2012_Code,112, USDA_CoA_Cropland,"AG LAND, PASTURELAND, (EXCL CROPLAND & WOODLAND)",NAICS_2012_Code,112, diff --git a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_USDA_CoA_Livestock.csv b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_USDA_CoA_Livestock.csv index 0161e3f69..93ed984db 100644 --- a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_USDA_CoA_Livestock.csv +++ b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_USDA_CoA_Livestock.csv @@ -22,7 +22,8 @@ USDA_CoA_Livestock,PIGEONS & SQUAB,NAICS_2012_Code,112390K, USDA_CoA_Livestock,"POULTRY, OTHER",NAICS_2012_Code,112390L, USDA_CoA_Livestock,QUAIL,NAICS_2012_Code,112390M, USDA_CoA_Livestock,RHEAS,NAICS_2012_Code,112390N, -USDA_CoA_Livestock,"SHEEP, INCL LAMBS",NAICS_2012_Code,11241, +USDA_CoA_Livestock,"SHEEP, INCL LAMBS",NAICS_2012_Code,112410A, +USDA_CoA_Livestock,"SHEEP, INCL LAMBS, HAIR SHEEP OR WOOL-HAIR CROSSES",NAICS_2012_Code,112410B, USDA_CoA_Livestock,GOATS,NAICS_2012_Code,11242, USDA_CoA_Livestock,"HONEY, BEE COLONIES",NAICS_2012_Code,112910B, USDA_CoA_Livestock,"EQUINE, HORSES & PONIES",NAICS_2012_Code,112920A, diff --git a/scripts/FlowByActivity_Crosswalks/write_Crosswalk_USDA_CoA_Cropland.py b/scripts/FlowByActivity_Crosswalks/write_Crosswalk_USDA_CoA_Cropland.py index 5c0cb7ccc..86855efe9 100644 --- a/scripts/FlowByActivity_Crosswalks/write_Crosswalk_USDA_CoA_Cropland.py +++ b/scripts/FlowByActivity_Crosswalks/write_Crosswalk_USDA_CoA_Cropland.py @@ -14,8 +14,13 @@ """ import pandas as pd +from pathlib import Path +import sys from flowsa.settings import datapath -from scripts.FlowByActivity_Crosswalks.common_scripts import unique_activity_names, order_crosswalk + +cw_path = Path(__file__).parents[1] +sys.path.append(str(cw_path / 'FlowByActivity_Crosswalks')) # accepts str, not pathlib obj +from FlowByActivity_Crosswalks.common_scripts import unique_activity_names, order_crosswalk def assign_naics(df): @@ -147,6 +152,7 @@ def assign_naics(df): # coa aggregates to sugarcane farming: 11193 df.loc[df['Activity'] == 'SUGARCANE, SUGAR', 'Sector'] = '111930A' df.loc[df['Activity'] == 'SUGARCANE, SEED', 'Sector'] = '111930B' + df.loc[df['Activity'] == 'SUGARCANE, SUGAR & SEED', 'Sector'] = '111930' # coa aggregates to hay farming: 11194 df.loc[df['Activity'] == 'HAY & HAYLAGE', 'Sector'] = '11194' @@ -170,13 +176,20 @@ def assign_naics(df): df.loc[df['Activity'] == 'MINT, TEA LEAVES', 'Sector'] = '111998K' df.loc[df['Activity'] == 'SWITCHGRASS', 'Sector'] = '111998L' df.loc[df['Activity'] == 'FIELD CROPS, OTHER', 'Sector'] = '111998M' + df.loc[df['Activity'] == 'HEMP, INDUSTRIAL, CLONES & TRANSPLANTS', 'Sector'] = '111998N' + df.loc[df['Activity'] == 'HEMP, INDUSTRIAL, COMPLETE GROWS', 'Sector'] = '111998O' + df.loc[df['Activity'] == 'HEMP, INDUSTRIAL, FIBER', 'Sector'] = '111998P' + df.loc[df['Activity'] == 'HEMP, INDUSTRIAL, FLORAL', 'Sector'] = '111998Q' + df.loc[df['Activity'] == 'HEMP, INDUSTRIAL, GRAIN', 'Sector'] = '111998R' + df.loc[df['Activity'] == 'HEMP, INDUSTRIAL, OTHER USAGE', 'Sector'] = '111998S' + df.loc[df['Activity'] == 'HEMP, INDUSTRIAL, SEED', 'Sector'] = '111998T' return df if __name__ == '__main__': # select years to pull unique activity names - years = ['2012', '2017'] + years = ['2012', '2017', '2022'] # datasource datasource = 'USDA_CoA_Cropland' # df of unique ers activity names diff --git a/scripts/FlowByActivity_Crosswalks/write_Crosswalk_USDA_CoA_Livestock.py b/scripts/FlowByActivity_Crosswalks/write_Crosswalk_USDA_CoA_Livestock.py index e23fd33fe..03937316e 100644 --- a/scripts/FlowByActivity_Crosswalks/write_Crosswalk_USDA_CoA_Livestock.py +++ b/scripts/FlowByActivity_Crosswalks/write_Crosswalk_USDA_CoA_Livestock.py @@ -14,8 +14,13 @@ """ import pandas as pd +from pathlib import Path +import sys from flowsa.settings import datapath -from scripts.FlowByActivity_Crosswalks.common_scripts import unique_activity_names, order_crosswalk + +cw_path = Path(__file__).parents[1] +sys.path.append(str(cw_path / 'FlowByActivity_Crosswalks')) # accepts str, not pathlib obj +from FlowByActivity_Crosswalks.common_scripts import unique_activity_names, order_crosswalk def assign_naics(df): @@ -73,7 +78,9 @@ def assign_naics(df): df.loc[df['Activity'] == 'SHEEP & GOATS TOTALS', 'Sector'] = '1124' # sheep farming: 11241 - df.loc[df['Activity'] == 'SHEEP, INCL LAMBS', 'Sector'] = '11241' + df.loc[df['Activity'] == 'SHEEP, INCL LAMBS', 'Sector'] = '112410A' + df.loc[df['Activity'] == 'SHEEP, INCL LAMBS, HAIR SHEEP OR WOOL-HAIR CROSSES', + 'Sector'] = '112410B' # goat farming: 11242 df.loc[df['Activity'] == 'GOATS', 'Sector'] = '11242' @@ -110,7 +117,7 @@ def assign_naics(df): if __name__ == '__main__': # select years to pull unique activity names - years = ['2012', '2017'] + years = ['2012', '2017', '2022'] # datasource datasource = 'USDA_CoA_Livestock' # df of unique ers activity names From 5129a0a206c9b4af1fb7f5aae8faa3720e746758 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Fri, 15 Mar 2024 11:46:01 -0400 Subject: [PATCH 07/69] streamline Lead activity assignment; fix extra space --- .../NAICS_Crosswalk_USGS_MYB_Lead.csv | 2 +- flowsa/data_source_scripts/USGS_MYB.py | 18 +++++++----------- 2 files changed, 8 insertions(+), 12 deletions(-) diff --git a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_USGS_MYB_Lead.csv b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_USGS_MYB_Lead.csv index 71f9ed9dc..44382df61 100644 --- a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_USGS_MYB_Lead.csv +++ b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_USGS_MYB_Lead.csv @@ -1,3 +1,3 @@ ActivitySourceName,Activity,SectorSourceName,Sector,SectorType,Notes -USGS_MYB_Lead,"Primary lead, refined content, domestic ores and base bullion ",NAICS_2012_Code,331410,, +USGS_MYB_Lead,"Primary lead, refined content, domestic ores and base bullion",NAICS_2012_Code,331410,, USGS_MYB_Lead,"Secondary lead, lead content",NAICS_2012_Code,331492,, diff --git a/flowsa/data_source_scripts/USGS_MYB.py b/flowsa/data_source_scripts/USGS_MYB.py index 6ad42e324..f972f1d2f 100644 --- a/flowsa/data_source_scripts/USGS_MYB.py +++ b/flowsa/data_source_scripts/USGS_MYB.py @@ -2015,26 +2015,22 @@ def usgs_lead_parse(*, df_list, source, year, **_): "Lead in base bullion", "Lead in base bullion, lead content", "Base bullion"] - import_export = ["Exports, lead content:", - "Imports for consumption, lead content:"] dataframe = pd.DataFrame() product = "production" for df in df_list: for index, row in df.iterrows(): - if df.iloc[index]["Production"].strip() in import_export: - if df.iloc[index]["Production"].strip() == \ - "Exports, lead content:": - product = "exports" - elif df.iloc[index]["Production"].strip() == \ - "Imports for consumption, lead content:": - product = "imports" - if df.iloc[index]["Production"].strip() in row_to_use: + activity = df.iloc[index]["Production"].strip() + if activity == "Exports, lead content:": + product = "exports" + elif activity == "Imports for consumption, lead content:": + product = "imports" + if activity in row_to_use: data = usgs_myb_static_variables() data["SourceName"] = source data["Year"] = str(year) data["Unit"] = "Metric Tons" data['FlowName'] = name + " " + product - data["ActivityProducedBy"] = df.iloc[index]["Production"] + data["ActivityProducedBy"] = activity if str(df.iloc[index]["FlowAmount"]) == "--": data["FlowAmount"] = 0 else: From 6693f0d4a2cc664c4b1af516301643f5cf5ec27e Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 20 Mar 2024 14:18:46 -0400 Subject: [PATCH 08/69] update table numbers and `target_naics_year` for national models 2017-2020 --- .../GHG_national_2017_m1.yaml | 62 +++++++-------- .../GHG_national_2017_m2.yaml | 46 ++++++------ .../GHG_national_2018_m1.yaml | 68 ++++++++--------- .../GHG_national_2018_m2.yaml | 46 ++++++------ .../GHG_national_2019_m1.yaml | 68 ++++++++--------- .../GHG_national_2019_m2.yaml | 46 ++++++------ .../GHG_national_2020_m1.yaml | 68 ++++++++--------- .../GHG_national_2020_m2.yaml | 46 ++++++------ .../GHG_national_m1_common.yaml | 34 ++++----- .../GHG_national_m2_common.yaml | 75 +++++++++---------- 10 files changed, 277 insertions(+), 282 deletions(-) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml index cbea0e0c7..1be05862a 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml @@ -80,24 +80,24 @@ source_names: selection_fields: ActivityProducedBy: {'325120': ''} # Industrial gases - "EPA_GHGI_T_3_68": #CH4 from Natural Gas Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_68 + "EPA_GHGI_T_3_73": #CH4 from Natural Gas Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - "EPA_GHGI_T_3_70": #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_70 + "EPA_GHGI_T_3_75": #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - "EPA_GHGI_T_3_72": #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_72 + "EPA_GHGI_T_3_77": #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - "EPA_GHGI_T_3_42": #CH4 from Petroleum Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - "EPA_GHGI_T_3_44": #CO2 from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_44": #CH4 from Petroleum Systems !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - "EPA_GHGI_T_3_46": #N2O from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_46": #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + "EPA_GHGI_T_3_48": #N2O from Petroleum Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year "EPA_GHGI_T_5_28": #CH4, N2O, CO and NOx from field burning of residues !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_28 year: *ghgi_year @@ -182,22 +182,22 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_46": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_46 + "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - "EPA_GHGI_T_4_50": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_50 + "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - "EPA_GHGI_T_4_96": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_96 + "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - "EPA_GHGI_T_4_102": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102 + "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants attribution_source: BEA_Detail_Use_SUT: <<: *bea @@ -205,7 +205,7 @@ source_names: ActivityProducedBy: {'333415': ''} # Air conditioning equipment air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning attribution_source: BEA_Detail_Use_SUT: <<: *bea @@ -213,7 +213,7 @@ source_names: ActivityProducedBy: {'333415': ''} # Air conditioning equipment foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams attribution_source: BEA_Detail_Use_SUT: <<: *bea @@ -223,16 +223,16 @@ source_names: '326150': '' # Urethane and other foam - "EPA_GHGI_T_A_97": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_97 + "EPA_GHGI_T_A_92": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_80": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_80 + "EPA_GHGI_T_4_100": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year - "EPA_GHGI_T_4_86": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_86 + "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 year: *ghgi_year - "EPA_GHGI_T_3_22b": #Fossil fuel for non-energy uses + "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year activity_sets: # Update EIA_MECS year for some activity_sets @@ -258,7 +258,7 @@ source_names: ActivityProducedBy: {'324110': ''} # use of petroleum products ### Major CO2 Sources - "EPA_GHGI_T_A_8": # CO2 emissions from stationary combustion. This table number varies by GHG year. + "EPA_GHGI_T_A_10": # CO2 emissions from stationary combustion. This table number varies by GHG year. !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year clean_parameter: *industrial_dict diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml index 06efa0709..107a20989 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml @@ -315,25 +315,25 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:lead:attribution_source:USGS_MYB_Lead year: *ghgi_year - EPA_GHGI_T_3_68: #CH4 from Natural Gas Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_68 + EPA_GHGI_T_3_73: #CH4 from Natural Gas Systems + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - EPA_GHGI_T_3_70: #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_70 + EPA_GHGI_T_3_75: #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - EPA_GHGI_T_3_72: #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_72 + EPA_GHGI_T_3_77: #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - EPA_GHGI_T_3_42: #CH4 from Petroleum Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - EPA_GHGI_T_3_44: #CO2 from Petroleum Systems mimics CH4 + EPA_GHGI_T_3_44: #CH4 from Petroleum Systems !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - EPA_GHGI_T_3_46: #N2O from Petroleum Systems, not in prior method, mimics CH4 + EPA_GHGI_T_3_46: #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + EPA_GHGI_T_3_48: #N2O from Petroleum Systems, not in prior method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year ## Agriculture EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues @@ -358,7 +358,7 @@ source_names: year: *ghgi_year ## Stationary Combustion - EPA_GHGI_T_A_8: + EPA_GHGI_T_A_10: !include:GHG_national_m2_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year EPA_GHGI_T_3_8: # CH4 emissions from stationary combustion @@ -369,31 +369,31 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_46: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_46 + EPA_GHGI_T_4_53: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - EPA_GHGI_T_3_22b: # Fossil fuel for non-energy uses + EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses !include:GHG_national_m2_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_50: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_50 + EPA_GHGI_T_4_57: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - EPA_GHGI_T_4_96: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_96 + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 year: *ghgi_year - EPA_GHGI_T_A_97: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_97 + EPA_GHGI_T_A_92: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_80: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_80 + EPA_GHGI_T_4_100: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml index 773d8dd02..bb9f6fbc3 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml @@ -67,24 +67,24 @@ source_names: Detail_Use_2018: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:nitrous_oxide_use:attribution_source:Detail_Use_YEAR - "EPA_GHGI_T_3_68": #CH4 from Natural Gas Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_68 + "EPA_GHGI_T_3_73": #CH4 from Natural Gas Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - "EPA_GHGI_T_3_70": #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_70 + "EPA_GHGI_T_3_75": #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - "EPA_GHGI_T_3_72": #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_72 + "EPA_GHGI_T_3_77": #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - "EPA_GHGI_T_3_42": #CH4 from Petroleum Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - "EPA_GHGI_T_3_44": #CO2 from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_44": #CH4 from Petroleum Systems !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - "EPA_GHGI_T_3_46": #N2O from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_46": #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + "EPA_GHGI_T_3_48": #N2O from Petroleum Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year "EPA_GHGI_T_5_28": #CH4, N2O, CO and NOx from field burning of residues !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_28 year: *ghgi_year @@ -155,47 +155,47 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_46": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_46 + "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - "EPA_GHGI_T_4_50": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_50 + "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - "EPA_GHGI_T_4_96": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_96 + "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - "EPA_GHGI_T_4_102": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102 + "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants attribution_source: Detail_Use_2018: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning attribution_source: Detail_Use_2018: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams attribution_source: Detail_Use_2018: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:foams:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams:attribution_source:Detail_Use_YEAR - "EPA_GHGI_T_A_97": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_97 + "EPA_GHGI_T_A_92": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_80": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_80 + "EPA_GHGI_T_4_100": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year - "EPA_GHGI_T_4_86": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_86 + "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 year: *ghgi_year - "EPA_GHGI_T_3_22b": #Fossil fuel for non-energy uses + "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year activity_sets: # Update EIA_MECS year for some activity_sets @@ -219,7 +219,7 @@ source_names: !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:transportation_lubricants:attribution_source:Detail_Use_YEAR ### Major CO2 Sources - "EPA_GHGI_T_A_7": # CO2 emissions from stationary combustion. This table number varies by GHG year. + "EPA_GHGI_T_A_9": # CO2 emissions from stationary combustion. This table number varies by GHG year. !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year clean_parameter: *industrial_dict diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml index 1ec83bc0d..235d6494b 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml @@ -258,25 +258,25 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:lead:attribution_source:USGS_MYB_Lead year: *ghgi_year - EPA_GHGI_T_3_68: #CH4 from Natural Gas Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_68 + EPA_GHGI_T_3_73: #CH4 from Natural Gas Systems + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - EPA_GHGI_T_3_70: #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_70 + EPA_GHGI_T_3_75: #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - EPA_GHGI_T_3_72: #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_72 + EPA_GHGI_T_3_77: #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - EPA_GHGI_T_3_42: #CH4 from Petroleum Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - EPA_GHGI_T_3_44: #CO2 from Petroleum Systems mimics CH4 + EPA_GHGI_T_3_44: #CH4 from Petroleum Systems !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - EPA_GHGI_T_3_46: #N2O from Petroleum Systems, not in prior method, mimics CH4 + EPA_GHGI_T_3_46: #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + EPA_GHGI_T_3_48: #N2O from Petroleum Systems, not in prior method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year ## Agriculture EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues @@ -301,7 +301,7 @@ source_names: year: *ghgi_year ## Stationary Combustion - EPA_GHGI_T_A_7: + EPA_GHGI_T_A_9: !include:GHG_national_m2_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year EPA_GHGI_T_3_8: # CH4 emissions from stationary combustion @@ -312,31 +312,31 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_46: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_46 + EPA_GHGI_T_4_53: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - EPA_GHGI_T_3_22b: # Fossil fuel for non-energy uses + EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses !include:GHG_national_m2_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_50: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_50 + EPA_GHGI_T_4_57: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - EPA_GHGI_T_4_96: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_96 + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 year: *ghgi_year - EPA_GHGI_T_A_97: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_97 + EPA_GHGI_T_A_92: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_80: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_80 + EPA_GHGI_T_4_100: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml index e1ff46a7b..8c804ab7b 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml @@ -67,24 +67,24 @@ source_names: Detail_Use_2019: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:nitrous_oxide_use:attribution_source:Detail_Use_YEAR - "EPA_GHGI_T_3_68": #CH4 from Natural Gas Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_68 + "EPA_GHGI_T_3_73": #CH4 from Natural Gas Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - "EPA_GHGI_T_3_70": #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_70 + "EPA_GHGI_T_3_75": #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - "EPA_GHGI_T_3_72": #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_72 + "EPA_GHGI_T_3_77": #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - "EPA_GHGI_T_3_42": #CH4 from Petroleum Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - "EPA_GHGI_T_3_44": #CO2 from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_44": #CH4 from Petroleum Systems !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - "EPA_GHGI_T_3_46": #N2O from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_46": #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + "EPA_GHGI_T_3_48": #N2O from Petroleum Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year "EPA_GHGI_T_5_28": #CH4, N2O, CO and NOx from field burning of residues !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_28 year: *ghgi_year @@ -155,47 +155,47 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_46": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_46 + "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - "EPA_GHGI_T_4_50": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_50 + "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - "EPA_GHGI_T_4_96": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_96 + "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - "EPA_GHGI_T_4_102": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102 + "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants attribution_source: Detail_Use_2019: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning attribution_source: Detail_Use_2019: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams attribution_source: Detail_Use_2019: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:foams:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams:attribution_source:Detail_Use_YEAR - "EPA_GHGI_T_A_97": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_97 + "EPA_GHGI_T_A_92": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_80": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_80 + "EPA_GHGI_T_4_100": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year - "EPA_GHGI_T_4_86": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_86 + "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 year: *ghgi_year - "EPA_GHGI_T_3_22b": #Fossil fuel for non-energy uses + "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year activity_sets: # Update EIA_MECS year for some activity_sets @@ -220,7 +220,7 @@ source_names: ### Major CO2 Sources - "EPA_GHGI_T_A_6": # CO2 emissions from stationary combustion. This table number varies by GHG year. + "EPA_GHGI_T_A_8": # CO2 emissions from stationary combustion. This table number varies by GHG year. !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year clean_parameter: *industrial_dict diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml index 7d1d07db4..ffa67e26f 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml @@ -258,25 +258,25 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:lead:attribution_source:USGS_MYB_Lead year: *ghgi_year - EPA_GHGI_T_3_68: #CH4 from Natural Gas Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_68 + EPA_GHGI_T_3_73: #CH4 from Natural Gas Systems + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - EPA_GHGI_T_3_70: #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_70 + EPA_GHGI_T_3_75: #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - EPA_GHGI_T_3_72: #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_72 + EPA_GHGI_T_3_77: #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - EPA_GHGI_T_3_42: #CH4 from Petroleum Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - EPA_GHGI_T_3_44: #CO2 from Petroleum Systems mimics CH4 + EPA_GHGI_T_3_44: #CH4 from Petroleum Systems !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - EPA_GHGI_T_3_46: #N2O from Petroleum Systems, not in prior method, mimics CH4 + EPA_GHGI_T_3_46: #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + EPA_GHGI_T_3_48: #N2O from Petroleum Systems, not in prior method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year ## Agriculture EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues @@ -301,7 +301,7 @@ source_names: year: *ghgi_year ## Stationary Combustion - EPA_GHGI_T_A_6: + EPA_GHGI_T_A_8: !include:GHG_national_m2_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year EPA_GHGI_T_3_8: # CH4 emissions from stationary combustion @@ -312,31 +312,31 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_46: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_46 + EPA_GHGI_T_4_53: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - EPA_GHGI_T_3_22b: # Fossil fuel for non-energy uses + EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses !include:GHG_national_m2_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_50: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_50 + EPA_GHGI_T_4_57: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - EPA_GHGI_T_4_96: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_96 + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 year: *ghgi_year - EPA_GHGI_T_A_97: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_97 + EPA_GHGI_T_A_92: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_80: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_80 + EPA_GHGI_T_4_100: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml index d903f72f2..1917ff8d1 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml @@ -67,24 +67,24 @@ source_names: Detail_Use_2020: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:nitrous_oxide_use:attribution_source:Detail_Use_YEAR - "EPA_GHGI_T_3_68": #CH4 from Natural Gas Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_68 + "EPA_GHGI_T_3_73": #CH4 from Natural Gas Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - "EPA_GHGI_T_3_70": #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_70 + "EPA_GHGI_T_3_75": #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - "EPA_GHGI_T_3_72": #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_72 + "EPA_GHGI_T_3_77": #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - "EPA_GHGI_T_3_42": #CH4 from Petroleum Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - "EPA_GHGI_T_3_44": #CO2 from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_44": #CH4 from Petroleum Systems !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - "EPA_GHGI_T_3_46": #N2O from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_46": #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + "EPA_GHGI_T_3_48": #N2O from Petroleum Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year "EPA_GHGI_T_5_28": #CH4, N2O, CO and NOx from field burning of residues !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_28 year: *ghgi_year @@ -155,47 +155,47 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_46": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_46 + "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - "EPA_GHGI_T_4_50": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_50 + "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - "EPA_GHGI_T_4_96": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_96 + "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - "EPA_GHGI_T_4_102": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102 + "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants attribution_source: Detail_Use_2020: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning attribution_source: Detail_Use_2020: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams attribution_source: Detail_Use_2020: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:foams:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams:attribution_source:Detail_Use_YEAR - "EPA_GHGI_T_A_97": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_97 + "EPA_GHGI_T_A_92": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_80": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_80 + "EPA_GHGI_T_4_100": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year - "EPA_GHGI_T_4_86": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_86 + "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 year: *ghgi_year - "EPA_GHGI_T_3_22": #Fossil fuel for non-energy uses + "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year activity_sets: # Update EIA_MECS year for some activity_sets @@ -220,7 +220,7 @@ source_names: ### Major CO2 Sources - "EPA_GHGI_T_A_5": # CO2 emissions from stationary combustion. This table number varies by GHG year. + "EPA_GHGI_T_A_7": # CO2 emissions from stationary combustion. This table number varies by GHG year. !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year clean_parameter: *industrial_dict diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml index 0f1dc625a..e4541214c 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml @@ -258,25 +258,25 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:lead:attribution_source:USGS_MYB_Lead year: *usgs_year - EPA_GHGI_T_3_68: #CH4 from Natural Gas Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_68 + EPA_GHGI_T_3_73: #CH4 from Natural Gas Systems + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - EPA_GHGI_T_3_70: #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_70 + EPA_GHGI_T_3_75: #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - EPA_GHGI_T_3_72: #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_72 + EPA_GHGI_T_3_77: #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - EPA_GHGI_T_3_42: #CH4 from Petroleum Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - EPA_GHGI_T_3_44: #CO2 from Petroleum Systems mimics CH4 + EPA_GHGI_T_3_44: #CH4 from Petroleum Systems !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - EPA_GHGI_T_3_46: #N2O from Petroleum Systems, not in prior method, mimics CH4 + EPA_GHGI_T_3_46: #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + EPA_GHGI_T_3_48: #N2O from Petroleum Systems, not in prior method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year ## Agriculture EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues @@ -301,7 +301,7 @@ source_names: year: *ghgi_year ## Stationary Combustion - EPA_GHGI_T_A_5: + EPA_GHGI_T_A_7: !include:GHG_national_m2_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year EPA_GHGI_T_3_8: # CH4 emissions from stationary combustion @@ -312,31 +312,31 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_46: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_46 + EPA_GHGI_T_4_53: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - EPA_GHGI_T_3_22: # Fossil fuel for non-energy uses + EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses !include:GHG_national_m2_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_50: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_50 + EPA_GHGI_T_4_57: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - EPA_GHGI_T_4_96: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_96 + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 year: *ghgi_year - EPA_GHGI_T_A_97: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_97 + EPA_GHGI_T_A_92: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_80: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_80 + EPA_GHGI_T_4_100: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml index 66771ae47..43cefc3c4 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml @@ -5,8 +5,8 @@ !include:USEEIO_summary_target.yaml -# year: &ghgi_year 2016 -target_naics_year: 2012 +# year: &ghgi_year 2022 +target_naics_year: 2017 geoscale: national mecs_year: &mecs_year 2018 @@ -153,7 +153,7 @@ source_names: ## Fossil Fuels - EPA_GHGI_T_3_68: &natgas #CH4 from Natural Gas Systems + EPA_GHGI_T_3_73: &natgas #CH4 from Natural Gas Systems # year: # override this fedefl_mapping: GHGI selection_fields: @@ -165,10 +165,10 @@ source_names: - Production - Transmission and Storage attribution_method: direct - EPA_GHGI_T_3_70: *natgas #CO2 from Natural Gas Systems mimics CH4 - EPA_GHGI_T_3_72: *natgas #N2O from Natural Gas Systems, not used in original method, mimics CH4 + EPA_GHGI_T_3_75: *natgas #CO2 from Natural Gas Systems mimics CH4 + EPA_GHGI_T_3_77: *natgas #N2O from Natural Gas Systems, not used in original method, mimics CH4 - EPA_GHGI_T_3_42: &petroleum #CH4 from Petroleum Systems + EPA_GHGI_T_3_44: &petroleum #CH4 from Petroleum Systems # year: # override this fedefl_mapping: GHGI selection_fields: @@ -180,8 +180,8 @@ source_names: - Refining - Crude Refining attribution_method: direct - EPA_GHGI_T_3_44: *petroleum #CO2 from Petroleum Systems mimics CH4 - EPA_GHGI_T_3_46: *petroleum #N2O from Petroleum Systems, not in prior method, mimics CH4 + EPA_GHGI_T_3_46: *petroleum #CO2 from Petroleum Systems mimics CH4 + EPA_GHGI_T_3_48: *petroleum #N2O from Petroleum Systems, not in prior method, mimics CH4 ## Agriculture EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues @@ -573,7 +573,7 @@ source_names: EPA_GHGI_T_3_9: *stationary_combustion # N2O emissions from stationary combustion ## Other sources - EPA_GHGI_T_4_46: #CO2 for selected petrochemicals + EPA_GHGI_T_4_53: #CO2 for selected petrochemicals # year: # override with ghgi_year fedefl_mapping: GHGI selection_fields: @@ -658,7 +658,7 @@ source_names: SectorProducedBy: {'32411': ''} # purchases of refinery products (324110) ## Other Emissions - EPA_GHGI_T_4_50: # HFCs from HCFC-22 production + EPA_GHGI_T_4_57: # HFCs from HCFC-22 production # year: # override with ghgi_year fedefl_mapping: GHGI selection_fields: @@ -666,18 +666,18 @@ source_names: PrimaryActivity: HCFC-22 Production attribution_method: direct - EPA_GHGI_T_4_96: # HFCs and other emissions from electronics manufacture + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture # year: # override with ghgi_year fedefl_mapping: GHGI selection_fields: PrimaryActivity: Electronics Production attribution_method: direct - EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes clean_fba_before_activity_sets: !script_function:EPA_GHGI split_HFCs_by_type clean_parameter: # Proportions of specific HFCs are assigned based on national total - flow_fba: EPA_GHGI_T_4_100 + flow_fba: EPA_GHGI_T_4_122 # year: # override with ghgi_year fedefl_mapping: GHGI activity_sets: @@ -722,12 +722,12 @@ source_names: '32615': '' # Urethane and other foam (326150) - EPA_GHGI_T_A_97: # HFCs from Transportation + EPA_GHGI_T_A_92: # HFCs from Transportation # year: # override with ghgi_year clean_fba_before_mapping: !script_function:EPA_GHGI split_HFCs_by_type clean_parameter: # Proportions of specific HFCs are assigned based on national total - flow_fba: EPA_GHGI_T_4_100 + flow_fba: EPA_GHGI_T_4_122 fedefl_mapping: GHGI selection_fields: PrimaryActivity: @@ -743,7 +743,7 @@ source_names: attribution_method: direct - EPA_GHGI_T_4_80: # PFCs from aluminum production + EPA_GHGI_T_4_100: # PFCs from aluminum production # year: # override with ghgi_year fedefl_mapping: GHGI selection_fields: @@ -751,7 +751,7 @@ source_names: attribution_method: direct - EPA_GHGI_T_4_86: # HFCs, SF6, CO2 from magnesium production + EPA_GHGI_T_4_106: # HFCs, SF6, CO2 from magnesium production # year: # override with ghgi_year fedefl_mapping: GHGI selection_fields: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml index 1acaf1d33..a78e9c318 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml @@ -7,7 +7,7 @@ !include:USEEIOv2_detail_target.yaml # year: &ghgi_year 2019 -target_naics_year: 2012 +target_naics_year: 2017 geoscale: national attribution_sources: @@ -241,7 +241,6 @@ source_names: - 'EPA_GHGI_T_A_10.non_manufacturing_coal' - 'EPA_GHGI_T_A_11.non_manufacturing_coal' - 'EPA_GHGI_T_A_12.non_manufacturing_coal' - - 'EPA_GHGI_T_A_13.non_manufacturing_coal' attribution_method: proportional attribution_source: Detail_Use_YEAR: ## Update year @@ -259,7 +258,6 @@ source_names: - 'EPA_GHGI_T_A_10.non_manufacturing_natural_gas' - 'EPA_GHGI_T_A_11.non_manufacturing_natural_gas' - 'EPA_GHGI_T_A_12.non_manufacturing_natural_gas' - - 'EPA_GHGI_T_A_13.non_manufacturing_natural_gas' attribution_method: proportional attribution_source: Detail_Use_YEAR: ## Update year @@ -277,7 +275,6 @@ source_names: - 'EPA_GHGI_T_A_10.coal_manufacturing_co2' - 'EPA_GHGI_T_A_11.coal_manufacturing_co2' - 'EPA_GHGI_T_A_12.coal_manufacturing_co2' - - 'EPA_GHGI_T_A_13.coal_manufacturing_co2' attribution_method: proportional attribution_source: EIA_MECS_Energy: @@ -303,7 +300,6 @@ source_names: - 'EPA_GHGI_T_A_10.natural_gas_manufacturing' - 'EPA_GHGI_T_A_11.natural_gas_manufacturing' - 'EPA_GHGI_T_A_12.natural_gas_manufacturing' - - 'EPA_GHGI_T_A_13.natural_gas_manufacturing' attribution_method: proportional attribution_source: EIA_MECS_Energy: @@ -327,7 +323,6 @@ source_names: - 'EPA_GHGI_T_A_10.petroleum' - 'EPA_GHGI_T_A_11.petroleum' - 'EPA_GHGI_T_A_12.petroleum' - - 'EPA_GHGI_T_A_13.petroleum' attribution_method: proportional attribution_source: Detail_Use_YEAR: ## Update year @@ -415,8 +410,8 @@ source_names: petroleum_neu: # consumed petroleum products selection_fields: MetaSources: - - 'EPA_GHGI_T_3_22.petroleum_neu' - - 'EPA_GHGI_T_3_22b.petroleum_neu' + - 'EPA_GHGI_T_3_24.petroleum_neu' + - 'EPA_GHGI_T_3_24b.petroleum_neu' attribution_method: proportional attribution_source: EIA_MECS_Energy: @@ -436,8 +431,8 @@ source_names: natural_gas_neu: # consumed nat gas to chemical plants selection_fields: MetaSources: - - 'EPA_GHGI_T_3_22.natural_gas_neu' - - 'EPA_GHGI_T_3_22b.natural_gas_neu' + - 'EPA_GHGI_T_3_24.natural_gas_neu' + - 'EPA_GHGI_T_3_24b.natural_gas_neu' attribution_method: proportional attribution_source: EIA_MECS_Energy: @@ -454,8 +449,8 @@ source_names: transportation_lubricants: selection_fields: MetaSources: - - 'EPA_GHGI_T_3_22.transportation_lubricants' - - 'EPA_GHGI_T_3_22b.transportation_lubricants' + - 'EPA_GHGI_T_3_24.transportation_lubricants' + - 'EPA_GHGI_T_3_24b.transportation_lubricants' attribution_method: proportional attribution_source: Detail_Use_YEAR: ## Update year @@ -465,7 +460,7 @@ source_names: refrigerants: selection_fields: - MetaSources: 'EPA_GHGI_T_4_102.refrigerants' + MetaSources: 'EPA_GHGI_T_4_124.refrigerants' attribution_method: proportional attribution_source: Detail_Use_YEAR: ## Update year @@ -474,7 +469,7 @@ source_names: air_conditioning: selection_fields: - MetaSources: 'EPA_GHGI_T_4_102.air_conditioning' + MetaSources: 'EPA_GHGI_T_4_124.air_conditioning' attribution_method: proportional attribution_source: Detail_Use_YEAR: ## Update year @@ -483,7 +478,7 @@ source_names: foams: selection_fields: - MetaSources: 'EPA_GHGI_T_4_102.foams' + MetaSources: 'EPA_GHGI_T_4_124.foams' attribution_method: proportional attribution_source: Detail_Use_YEAR: ## Update year @@ -495,7 +490,7 @@ source_names: magnesium: selection_fields: - MetaSources: 'EPA_GHGI_T_4_86' + MetaSources: 'EPA_GHGI_T_4_106' attribution_method: proportional attribution_source: BEA_Detail_GrossOutput_IO: @@ -530,19 +525,19 @@ source_names: ## Fossil Fuels - EPA_GHGI_T_3_68: #CH4 from Natural Gas Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_68 - EPA_GHGI_T_3_70: #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_70 - EPA_GHGI_T_3_72: #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_72 - - EPA_GHGI_T_3_42: #CH4 from Petroleum Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_42 - EPA_GHGI_T_3_44: #CO2 from Petroleum Systems mimics CH4 + EPA_GHGI_T_3_73: #CH4 from Natural Gas Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_73 + EPA_GHGI_T_3_75: #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_75 + EPA_GHGI_T_3_77: #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_77 + + EPA_GHGI_T_3_44: #CH4 from Petroleum Systems !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_44 - EPA_GHGI_T_3_46: #N2O from Petroleum Systems, not in prior method, mimics CH4 + EPA_GHGI_T_3_46: #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_46 + EPA_GHGI_T_3_48: #N2O from Petroleum Systems, not in prior method, mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_48 ## Agriculture EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues @@ -588,8 +583,8 @@ source_names: EPA_GHGI_T_3_9: *stationary_combustion # N2O emissions from stationary combustion ## Other sources - EPA_GHGI_T_4_46: #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_46 + EPA_GHGI_T_4_53: #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 GHGI_nonenergy_fossil_fuel_emissions: # Fossil fuel for non-energy uses fedefl_mapping: GHGI @@ -598,20 +593,20 @@ source_names: !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:coal ## Other Emissions - EPA_GHGI_T_4_50: # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_50 + EPA_GHGI_T_4_57: # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 - EPA_GHGI_T_4_96: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_96 + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 - EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102 + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 activity_sets: households: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:households + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:households - EPA_GHGI_T_A_97: # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_97 + EPA_GHGI_T_A_92: # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 - EPA_GHGI_T_4_80: # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_80 + EPA_GHGI_T_4_100: # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 From d6bff7332f453bcfe39f3faeb7292af00322f850 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 20 Mar 2024 14:24:21 -0400 Subject: [PATCH 09/69] specify CoA year for 2017-2020 fbs models; update 2020 usgs_myb lead year to 2020 --- .../GHG_national_2017_m2.yaml | 20 +++++++++++++++++- .../GHG_national_2018_m2.yaml | 20 +++++++++++++++++- .../GHG_national_2019_m2.yaml | 20 +++++++++++++++++- .../GHG_national_2020_m2.yaml | 21 ++++++++++++++++++- 4 files changed, 77 insertions(+), 4 deletions(-) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml index 107a20989..6f2c810d1 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml @@ -7,7 +7,7 @@ !include:GHG_national_m2_common.yaml ghgi_year: &ghgi_year 2017 mecs_year: &mecs_year 2018 - +coa_year: &coa_year 2017 _attribution_sources: BEA: &bea # 2017 Make and Use tables @@ -303,6 +303,24 @@ source_names: activity_to_sector_mapping: BEA_2012_Detail attribution_method: equal + cropland: # allocated based on USDA land area harvested + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:cropland + attribution_source: + USDA_CoA_Cropland: + !include:GHG_national_m2_common.yaml:attribution_sources:_cropland_allocation:USDA_CoA_Cropland + year: *coa_year + attribution_source: + USDA_CoA_Cropland_NAICS: + !include:GHG_national_m2_common.yaml:attribution_sources:_cropland_allocation:USDA_CoA_Cropland:attribution_source:USDA_CoA_Cropland_NAICS + year: *coa_year + + pasture: # allocated based on USDA Animal operation land (acres) + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:pasture + attribution_source: + USDA_CoA_Cropland_NAICS: + !include:GHG_national_m2_common.yaml:attribution_sources:_animal_land_allocation:USDA_CoA_Cropland_NAICS + year: *coa_year + EPA_GHGI_T_2_1: #U.S. GHG emissions !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml index 235d6494b..e0e04cd21 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml @@ -7,7 +7,7 @@ !include:GHG_national_m2_common.yaml ghgi_year: &ghgi_year 2018 mecs_year: &mecs_year 2018 - +coa_year: &coa_year 2017 sources_to_cache: Detail_Use_2018: @@ -246,6 +246,24 @@ source_names: activity_to_sector_mapping: BEA_2012_Detail attribution_method: equal + cropland: # allocated based on USDA land area harvested + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:cropland + attribution_source: + USDA_CoA_Cropland: + !include:GHG_national_m2_common.yaml:attribution_sources:_cropland_allocation:USDA_CoA_Cropland + year: *coa_year + attribution_source: + USDA_CoA_Cropland_NAICS: + !include:GHG_national_m2_common.yaml:attribution_sources:_cropland_allocation:USDA_CoA_Cropland:attribution_source:USDA_CoA_Cropland_NAICS + year: *coa_year + + pasture: # allocated based on USDA Animal operation land (acres) + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:pasture + attribution_source: + USDA_CoA_Cropland_NAICS: + !include:GHG_national_m2_common.yaml:attribution_sources:_animal_land_allocation:USDA_CoA_Cropland_NAICS + year: *coa_year + EPA_GHGI_T_2_1: #U.S. GHG emissions !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml index ffa67e26f..b93dbc9f5 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml @@ -7,7 +7,7 @@ !include:GHG_national_m2_common.yaml ghgi_year: &ghgi_year 2019 mecs_year: &mecs_year 2018 - +coa_year: &coa_year 2017 sources_to_cache: Detail_Use_2019: @@ -246,6 +246,24 @@ source_names: activity_to_sector_mapping: BEA_2012_Detail attribution_method: equal + cropland: # allocated based on USDA land area harvested + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:cropland + attribution_source: + USDA_CoA_Cropland: + !include:GHG_national_m2_common.yaml:attribution_sources:_cropland_allocation:USDA_CoA_Cropland + year: *coa_year + attribution_source: + USDA_CoA_Cropland_NAICS: + !include:GHG_national_m2_common.yaml:attribution_sources:_cropland_allocation:USDA_CoA_Cropland:attribution_source:USDA_CoA_Cropland_NAICS + year: *coa_year + + pasture: # allocated based on USDA Animal operation land (acres) + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:pasture + attribution_source: + USDA_CoA_Cropland_NAICS: + !include:GHG_national_m2_common.yaml:attribution_sources:_animal_land_allocation:USDA_CoA_Cropland_NAICS + year: *coa_year + EPA_GHGI_T_2_1: #U.S. GHG emissions !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml index e4541214c..3edc24387 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml @@ -7,7 +7,8 @@ !include:GHG_national_m2_common.yaml ghgi_year: &ghgi_year 2020 mecs_year: &mecs_year 2018 -usgs_year: &usgs_year 2019 # 2020 FBA not yet available +coa_year: &coa_year 2017 +usgs_year: &usgs_year 2020 sources_to_cache: Detail_Use_2020: @@ -246,6 +247,24 @@ source_names: activity_to_sector_mapping: BEA_2012_Detail attribution_method: equal + cropland: # allocated based on USDA land area harvested + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:cropland + attribution_source: + USDA_CoA_Cropland: + !include:GHG_national_m2_common.yaml:attribution_sources:_cropland_allocation:USDA_CoA_Cropland + year: *coa_year + attribution_source: + USDA_CoA_Cropland_NAICS: + !include:GHG_national_m2_common.yaml:attribution_sources:_cropland_allocation:USDA_CoA_Cropland:attribution_source:USDA_CoA_Cropland_NAICS + year: *coa_year + + pasture: # allocated based on USDA Animal operation land (acres) + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:pasture + attribution_source: + USDA_CoA_Cropland_NAICS: + !include:GHG_national_m2_common.yaml:attribution_sources:_animal_land_allocation:USDA_CoA_Cropland_NAICS + year: *coa_year + EPA_GHGI_T_2_1: #U.S. GHG emissions !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1 year: *ghgi_year From 659e838ee4bb31118b70d3e1f3de783099afbee3 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 20 Mar 2024 14:24:46 -0400 Subject: [PATCH 10/69] align 2018 GHGI table for EIA MECS with new number --- flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml | 2 +- flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml | 2 +- flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml | 2 +- flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml | 2 +- .../methods/flowbysectormethods/GHG_national_m1_common.yaml | 4 ++-- 5 files changed, 6 insertions(+), 6 deletions(-) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml index 1be05862a..8ca1afb90 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml @@ -11,7 +11,7 @@ mecs_year: &mecs_year 2018 _industrial_allocation_dict: &industrial_dict energy_fba: 'EIA_MECS_Energy' year: *mecs_year - ghg_fba: 'EPA_GHGI_T_A_7' # 2018 Table + ghg_fba: 'EPA_GHGI_T_A_9' # 2018 Table _attribution_sources: BEA: &bea # 2017 Make and Use tables diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml index bb9f6fbc3..9c5b6b21c 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml @@ -11,7 +11,7 @@ mecs_year: &mecs_year 2018 _industrial_allocation_dict: &industrial_dict energy_fba: 'EIA_MECS_Energy' year: *mecs_year - ghg_fba: 'EPA_GHGI_T_A_7' # 2018 Table + ghg_fba: 'EPA_GHGI_T_A_9' # 2018 Table sources_to_cache: Detail_Use_2018: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml index 8c804ab7b..a2628119e 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml @@ -11,7 +11,7 @@ mecs_year: &mecs_year 2018 _industrial_allocation_dict: &industrial_dict energy_fba: 'EIA_MECS_Energy' year: *mecs_year - ghg_fba: 'EPA_GHGI_T_A_7' # 2018 Table + ghg_fba: 'EPA_GHGI_T_A_9' # 2018 Table sources_to_cache: Detail_Use_2019: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml index 1917ff8d1..c9e1418c3 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml @@ -11,7 +11,7 @@ mecs_year: &mecs_year 2018 _industrial_allocation_dict: &industrial_dict energy_fba: 'EIA_MECS_Energy' year: *mecs_year - ghg_fba: 'EPA_GHGI_T_A_7' # 2018 Table + ghg_fba: 'EPA_GHGI_T_A_9' # 2018 Table sources_to_cache: Detail_Use_2020: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml index 43cefc3c4..9493375f0 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml @@ -392,7 +392,7 @@ source_names: clean_parameter: # Override each year for use in allocate_industrial_combustion energy_fba: 'EIA_MECS_Energy' year: *mecs_year - ghg_fba: 'EPA_GHGI_T_A_7' # 2018 Table + ghg_fba: 'EPA_GHGI_T_A_9' # 2018 Table activity_sets: direct_attribution: #direct allocation selection_fields: @@ -475,7 +475,7 @@ source_names: clean_parameter: # Override each year for use in allocate_industrial_combustion energy_fba: 'EIA_MECS_Energy' year: *mecs_year - ghg_fba: 'EPA_GHGI_T_A_7' # 2018 Table + ghg_fba: 'EPA_GHGI_T_A_9' # 2018 Table fedefl_mapping: GHGI activity_sets: residential: From 57dafc813145e42e2b3218c9f59af3edd4bdb9fe Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 20 Mar 2024 14:33:17 -0400 Subject: [PATCH 11/69] update 3-24b with data through 2021 --- ...I_Table_3-22b.csv => GHGI_Table_3-24b.csv} | 50 +++++++++---------- 1 file changed, 25 insertions(+), 25 deletions(-) rename flowsa/data/external_data/{GHGI_Table_3-22b.csv => GHGI_Table_3-24b.csv} (76%) diff --git a/flowsa/data/external_data/GHGI_Table_3-22b.csv b/flowsa/data/external_data/GHGI_Table_3-24b.csv similarity index 76% rename from flowsa/data/external_data/GHGI_Table_3-22b.csv rename to flowsa/data/external_data/GHGI_Table_3-24b.csv index 6a445b5bb..cc56365e6 100644 --- a/flowsa/data/external_data/GHGI_Table_3-22b.csv +++ b/flowsa/data/external_data/GHGI_Table_3-24b.csv @@ -1,25 +1,25 @@ -"Carbon emissions (MMT CO2eq), Updated to 2018 data year, based on Table 3-22 in 2021 GHGI Report",,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.) -Sector/Fuel Type,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019 -Industry,112.8,112.8,112.8,112.8,112.8,112.8,112.8,112.8,112.8,112.8,112.8,112.8,112.8,101.8,132.8,123.4,120.8,117,117.5,111.1,111.9,113.4,93.9,108.4,101.6,110.5,97.6,108.5,120.2,119.2 -Industrial Coking Coal,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.418181818,21.9,14,8.8,3.4,5.1,0.6,5.5,6.2,12.5,12.2,2.4,12.5,9.1,11.5,12.8,11.2 -Industrial Other Coal,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.4,0.4,0.4,0.4,0.4,0.5,0.5,0.4,0.4,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3 -Natural Gas to Chemical Plants,6.67,6.67,6.67,6.67,6.67,6.67,6.67,6.67,6.67,6.67,6.67,6.67,6.67,7.4,7.6,7.5,8.2,8.1,7.9,8.1,4.8,4.8,4.7,5.3,5.6,5.3,4.6,5.3,5.6,13.4 -Asphalt & Road Oil,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0,0,0,0,0,0,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3 -LPG,38.58,38.58,38.58,38.58,38.58,38.58,38.58,38.58,38.58,38.58,38.58,38.58,38.58,31.9,33.2,34.3,35.3,35.2,34.2,37.9,46.1,49.9,35.7,43.7,45.6,44.6,39.7,44.8,53.9,59.8 -Lubricants,9.88,9.88,9.88,9.88,9.88,9.88,9.88,9.88,9.88,9.88,9.88,9.88,9.88,10.8,10.8,10.8,8.8,10.8,10.1,9,10.1,9.5,8.8,9.3,9.7,10.5,10,8.4,8.2,7.9 -Pentanes Plus,2.43,2.43,2.43,2.43,2.43,2.43,2.43,2.43,2.43,2.43,2.43,2.43,2.43,3.8,3.9,3.8,2.7,3.4,3.1,2.7,1.9,0.7,0.9,1.1,1.1,1.8,1.1,1.9,2.5,3.9 -Naphtha (<401 F),13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.7,17.2,17.4,15.2,14,12.3,12.9,13.1,12.9,8.8,11.5,10.2,9.4,8.1,9.2,9.9,9.5 -Other Oil (>401 F),11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,13.5,15.4,14.6,16.1,14.5,17.2,12.2,12.2,10.4,5.3,5.2,6,5.3,4.5,5.9,5.6,6 -Still Gas,2.89,2.89,2.89,2.89,2.89,2.89,2.89,2.89,2.89,2.89,2.89,2.89,2.89,3,1.5,1.7,3,2.2,1.2,3.6,3.8,4.4,3.1,3.6,3.6,3.4,3.2,3.4,3.7,3.9 -Petroleum Coke,5.33,5.33,5.33,5.33,5.33,5.33,5.33,5.33,5.33,5.33,5.33,5.33,5.33,4.6,9.7,7.4,9.1,11.8,11.8,9.5,0.1,0,0,0,0,0,0,NO,+,NO -Special Naphtha,1.61,1.61,1.61,1.61,1.61,1.61,1.61,1.61,1.61,1.61,1.61,1.61,1.61,2,1.3,1.7,1.9,2.1,2.3,1.3,0.8,0.6,0.3,2.4,2.6,2.3,1.9,2.2,2.2,2.5 -Distillate Fuel Oil,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.4,0.4,0.4,0.4,0.4,0.6,0.6,0.6,0.6,0.6,0.2,0.2,0.2,0.2,0.2,0.2,0.2 -Waxes,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.9,0.9,1,0.8,0.7,0.6,0.4,0.5,0.4,0.5,0.5,0.5,0.4,0.4,0.3,0.4,0.3 -Miscellaneous Products,10.85,10.85,10.85,10.85,10.85,10.85,10.85,10.85,10.85,10.85,10.85,10.85,10.85,9.3,8.5,8.4,9.9,9.9,10.6,11.3,11.8,12.2,12,12.7,13.6,14.1,14.2,14.8,14.7,0 -Transportation,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,10.2,10.2,10.2,9.9,10.2,9.5,8.5,9.5,9,8.3,8.8,9.1,10,9.5,9.6,9.3,8.9 -Lubricants,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,10.2,10.2,10.2,9.9,10.2,9.5,8.5,9.5,9,8.3,8.8,9.1,10,9.5,9.6,9.3,8.9 -U.S. Territories,6.34,6.34,6.34,6.34,6.34,6.34,6.34,6.34,6.34,6.34,6.34,6.34,6.34,5.9,10.3,8.7,7.3,6.7,7.2,3.7,3.7,8.2,8.2,2.7,3.5,5.1,5.1,5.1,5.1,0.7 -Lubricants,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0,0.1,0.6,0.4,0.3,0.4,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1 -Other Petroleum (Misc. Prod.),6.14,6.14,6.14,6.14,6.14,6.14,6.14,6.14,6.14,6.14,6.14,6.14,6.14,5.9,10.2,8.1,6.9,6.3,6.8,3.6,3.6,8.1,8.1,2.6,3.5,5,5,5,5,0.6 -Total,128.52,128.52,128.52,128.52,128.52,128.52,128.52,128.52,128.52,128.52,128.52,128.52,128.52,118,152.3,142.3,138,133.9,134.2,123.4,125.1,130.6,110.3,119.8,114.3,125.5,112.2,123.2,134.6,128.8 +"Carbon emissions (MMT CO2eq), Updated to 2021 data year, based on Table 3-24 in 2023 GHGI Report",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(Tg CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.),(MMT CO2 Eq.) +Sector/Fuel Type,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021 +Industry,112.8,112.8,112.8,112.8,112.8,112.8,112.8,112.8,112.8,112.8,112.8,112.8,112.8,101.8,132.8,123.4,120.8,117,117.5,111.1,111.9,113.4,93.9,108.4,101.6,110.5,97.6,108.5,120.2,119.2,112.7,132 +Industrial Coking Coal,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.42,8.418181818,21.9,14,8.8,3.4,5.1,0.6,5.5,6.2,12.5,12.2,2.4,12.5,9.1,11.5,12.8,11.2,6.7,10.5 +Industrial Other Coal,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.4,0.4,0.4,0.4,0.4,0.5,0.5,0.4,0.4,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.4 +Natural Gas to Chemical Plants,6.67,6.67,6.67,6.67,6.67,6.67,6.67,6.67,6.67,6.67,6.67,6.67,6.67,7.4,7.6,7.5,8.2,8.1,7.9,8.1,4.8,4.8,4.7,5.3,5.6,5.3,4.6,5.3,5.6,13.4,13.1,14.4 +Asphalt & Road Oil,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0.15,0,0,0,0,0,0,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3 +LPG,38.58,38.58,38.58,38.58,38.58,38.58,38.58,38.58,38.58,38.58,38.58,38.58,38.58,31.9,33.2,34.3,35.3,35.2,34.2,37.9,46.1,49.9,35.7,43.7,45.6,44.6,39.7,44.8,53.9,59.8,61.1,71.1 +Lubricants,9.88,9.88,9.88,9.88,9.88,9.88,9.88,9.88,9.88,9.88,9.88,9.88,9.88,10.8,10.8,10.8,8.8,10.8,10.1,9,10.1,9.5,8.8,9.3,9.7,10.5,10,8.4,8.2,7.9,7.2,7.7 +Pentanes Plus,2.43,2.43,2.43,2.43,2.43,2.43,2.43,2.43,2.43,2.43,2.43,2.43,2.43,3.8,3.9,3.8,2.7,3.4,3.1,2.7,1.9,0.7,0.9,1.1,1.1,1.8,1.1,1.9,2.5,3.9,4.1,5.5 +Naphtha (<401 F),13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.27,13.7,17.2,17.4,15.2,14,12.3,12.9,13.1,12.9,8.8,11.5,10.2,9.4,8.1,9.2,9.9,9.5,8.4,9.2 +Other Oil (>401 F),11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,11.88,13.5,15.4,14.6,16.1,14.5,17.2,12.2,12.2,10.4,5.3,5.2,6,5.3,4.5,5.9,5.6,6,5.4,5.9 +Still Gas,2.89,2.89,2.89,2.89,2.89,2.89,2.89,2.89,2.89,2.89,2.89,2.89,2.89,3,1.5,1.7,3,2.2,1.2,3.6,3.8,4.4,3.1,3.6,3.6,3.4,3.2,3.4,3.7,3.9,3.5,4 +Petroleum Coke,5.33,5.33,5.33,5.33,5.33,5.33,5.33,5.33,5.33,5.33,5.33,5.33,5.33,4.6,9.7,7.4,9.1,11.8,11.8,9.5,0.1,0,0,0,0,0,0,NO,+,NO,NO,0 +Special Naphtha,1.61,1.61,1.61,1.61,1.61,1.61,1.61,1.61,1.61,1.61,1.61,1.61,1.61,2,1.3,1.7,1.9,2.1,2.3,1.3,0.8,0.6,0.3,2.4,2.6,2.3,1.9,2.2,2.2,2.5,2.2,2.3 +Distillate Fuel Oil,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.4,0.4,0.4,0.4,0.4,0.6,0.6,0.6,0.6,0.6,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2 +Waxes,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.64,0.9,0.9,1,0.8,0.7,0.6,0.4,0.5,0.4,0.5,0.5,0.5,0.4,0.4,0.3,0.4,0.3,0.3,0.4 +Miscellaneous Products,10.85,10.85,10.85,10.85,10.85,10.85,10.85,10.85,10.85,10.85,10.85,10.85,10.85,9.3,8.5,8.4,9.9,9.9,10.6,11.3,11.8,12.2,12,12.7,13.6,14.1,14.2,14.8,14.7,0,NO,0 +Transportation,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,10.2,10.2,10.2,9.9,10.2,9.5,8.5,9.5,9,8.3,8.8,9.1,10,9.5,9.6,9.3,8.9,8,8 +Lubricants,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,9.45,10.2,10.2,10.2,9.9,10.2,9.5,8.5,9.5,9,8.3,8.8,9.1,10,9.5,9.6,9.3,8.9,8,8 +U.S. Territories,6.34,6.34,6.34,6.34,6.34,6.34,6.34,6.34,6.34,6.34,6.34,6.34,6.34,5.9,10.3,8.7,7.3,6.7,7.2,3.7,3.7,8.2,8.2,2.7,3.5,5.1,5.1,5.1,5.1,0.7,0.2,0.2 +Lubricants,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0,0.1,0.6,0.4,0.3,0.4,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1 +Other Petroleum (Misc. Prod.),6.14,6.14,6.14,6.14,6.14,6.14,6.14,6.14,6.14,6.14,6.14,6.14,6.14,5.9,10.2,8.1,6.9,6.3,6.8,3.6,3.6,8.1,8.1,2.6,3.5,5,5,5,5,0.6,0.2,0.2 +Total,128.52,128.52,128.52,128.52,128.52,128.52,128.52,128.52,128.52,128.52,128.52,128.52,128.52,118,152.3,142.3,138,133.9,134.2,123.4,125.1,130.6,110.3,119.8,114.3,125.5,112.2,123.2,134.6,128.8,121,140.2 From c9bc0f65ecc3a5603471716b92d3ca0662fe97e3 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 20 Mar 2024 15:01:00 -0400 Subject: [PATCH 12/69] update handling of 3-22 -> 3-24 --- flowsa/data_source_scripts/EPA_GHGI.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index de0f26aa5..c69269d12 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -194,10 +194,10 @@ def ghg_call(*, resp, url, year, config, **_): # .replace('{table_name}', table_name)) path = f'Table {table}.csv' - # Handle special case of table 3-22 in external data folder - if table == "3-22b": - if str(year) in ['2020']: - # Skip 3-22b for current year (use 3-22 instead) + # Handle special case of table 3-24 in external data folder + if table == "3-24b": + if str(year) in ['2022']: + # Skip 3-24b for current year (use 3-24 instead) continue else: df = pd.read_csv(externaldatapath / f"GHGI_Table_{table}.csv", @@ -237,8 +237,8 @@ def ghg_call(*, resp, url, year, config, **_): df.columns = new_headers elif table in ANNEX_ENERGY_TABLES: df = annex_yearly_tables(data, table) - elif table != '3-22b': - # Except for 3-22b already as df, + elif table != '3-24b': + # Except for 3-24b already as df, # Proceed with default case df = pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", thousands=",") From 68930d6eb7701acbfe48528e2adc67f0003357dc Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 20 Mar 2024 15:21:35 -0400 Subject: [PATCH 13/69] update pointer to report in comment --- flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml | 2 +- flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml | 2 +- flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml | 2 +- flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml | 2 +- flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml | 2 +- flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml | 2 +- flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml | 2 +- flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml | 2 +- 8 files changed, 8 insertions(+), 8 deletions(-) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml index 8ca1afb90..03a96389f 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml @@ -1,7 +1,7 @@ # This is a 2017 target year specific implementation of GHG_national_m1 # This is a Summary level model # All parameters add year specific data when needed to implement for 2017 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2018 !include:GHG_national_m1_common.yaml diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml index 6f2c810d1..0b52d2d1a 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml @@ -1,6 +1,6 @@ # This is a 2017 target year specific implementation of GHG_national_m2 # All parameters add year specific data when needed to implement for 2017 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2018 # CoA year is 2017 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml index 9c5b6b21c..5cb67a0ca 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml @@ -1,7 +1,7 @@ # This is a 2018 target year specific implementation of GHG_national_m1 # This is a Summary level model # All parameters add year specific data when needed to implement for 2018 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2018 !include:GHG_national_m1_common.yaml diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml index e0e04cd21..b8cf73bda 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml @@ -1,6 +1,6 @@ # This is a 2018 target year specific implementation of GHG_national_m2 # All parameters add year specific data when needed to implement for 2018 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2018 # CoA year is 2017 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml index a2628119e..4c9fdd94f 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml @@ -1,7 +1,7 @@ # This is a 2019 target year specific implementation of GHG_national_m1 # This is a Summary level model # All parameters add year specific data when needed to implement for 2019 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2018 !include:GHG_national_m1_common.yaml diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml index b93dbc9f5..703702935 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml @@ -1,6 +1,6 @@ # This is a 2019 target year specific implementation of GHG_national_m2 # All parameters add year specific data when needed to implement for 2019 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2018 # CoA year is 2017 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml index c9e1418c3..04d42f4ce 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml @@ -1,7 +1,7 @@ # This is a 2020 target year specific implementation of GHG_national_m1 # This is a Summary level model # All parameters add year specific data when needed to implement for 2020 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2018 !include:GHG_national_m1_common.yaml diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml index 3edc24387..29c39fcde 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml @@ -1,6 +1,6 @@ # This is a 2020 target year specific implementation of GHG_national_m2 # All parameters add year specific data when needed to implement for 2020 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2018 # CoA year is 2017 From 02699b022a6b5235eac8ef898e4a7cc1304ef3d9 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 20 Mar 2024 15:25:08 -0400 Subject: [PATCH 14/69] add 2021 and 2022 FBS model specs --- .../GHG_national_2021_m1.yaml | 303 +++++++++++++++ .../GHG_national_2021_m2.yaml | 361 ++++++++++++++++++ .../GHG_national_2022_m1.yaml | 303 +++++++++++++++ .../GHG_national_2022_m2.yaml | 361 ++++++++++++++++++ 4 files changed, 1328 insertions(+) create mode 100644 flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml create mode 100644 flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml create mode 100644 flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml create mode 100644 flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml new file mode 100644 index 000000000..272dd51e3 --- /dev/null +++ b/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml @@ -0,0 +1,303 @@ +# This is a 2021 target year specific implementation of GHG_national_m1 +# This is a Summary level model +# All parameters add year specific data when needed to implement for 2021 +# GHGI FBA table names match the 2024 GHGI Report +# MECS year is 2018 + +!include:GHG_national_m1_common.yaml +ghgi_year: &ghgi_year 2021 +mecs_year: &mecs_year 2018 + +_industrial_allocation_dict: &industrial_dict + energy_fba: 'EIA_MECS_Energy' + year: *mecs_year + ghg_fba: 'EPA_GHGI_T_A_9' # 2018 Table + +sources_to_cache: + Detail_Use_2021: + !include:Detail_Use_SUT.yaml + year: *ghgi_year + source_names: + BEA_Summary_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT + year: *ghgi_year + + Detail_Supply_2021: + !include:Detail_Supply.yaml + year: *ghgi_year + source_names: + BEA_Summary_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply + year: *ghgi_year + +source_names: + "EPA_GHGI_T_2_1": #U.S. GHG emissions + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1 + year: *ghgi_year + activity_sets: # Update BEA year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets + electric_power: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:electric_power + attribution_source: + Detail_Supply_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:electric_power:attribution_source:Detail_Supply_YEAR + liming: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:liming + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:liming:attribution_source:Detail_Use_YEAR + urea: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea:attribution_source:Detail_Use_YEAR + urea_fertilizer: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea_fertilizer + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea_fertilizer:attribution_source:Detail_Use_YEAR + carbonate_use: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:carbonate_use + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:carbonate_use:attribution_source:Detail_Use_YEAR + nitrous_oxide_use: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:nitrous_oxide_use + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:nitrous_oxide_use:attribution_source:Detail_Use_YEAR + + "EPA_GHGI_T_3_73": #CH4 from Natural Gas Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_73 + year: *ghgi_year + "EPA_GHGI_T_3_75": #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_75 + year: *ghgi_year + "EPA_GHGI_T_3_77": #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_77 + year: *ghgi_year + "EPA_GHGI_T_3_44": #CH4 from Petroleum Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_44 + year: *ghgi_year + "EPA_GHGI_T_3_46": #CO2 from Petroleum Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_46 + year: *ghgi_year + "EPA_GHGI_T_3_48": #N2O from Petroleum Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year + "EPA_GHGI_T_5_28": #CH4, N2O, CO and NOx from field burning of residues + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_28 + year: *ghgi_year + "EPA_GHGI_T_5_3": #CH4 from Enteric Fermentation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_3 + year: *ghgi_year + "EPA_GHGI_T_5_6": #CH4 and N2O from manure, mimics enteric fermentation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_6 + year: *ghgi_year + "EPA_GHGI_T_5_17": #Direct N2O emissions from agricultural soils + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_17 + year: *ghgi_year + "EPA_GHGI_T_5_18": #Indirect N2O emissions from agricultural soils + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_18 + year: *ghgi_year + + "EPA_GHGI_T_3_13": #CO2 from mobile combustion + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_13 + year: *ghgi_year + activity_sets: # Update BEA year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_13:activity_sets + petroleum_fuels: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_13:activity_sets:petroleum_fuels + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_13:activity_sets:petroleum_fuels:attribution_source:Detail_Use_YEAR + + "EPA_GHGI_T_3_14": &T_3_14 #CH4 from mobile combustion + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14 + year: *ghgi_year + activity_sets: # Update BEA year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets + petroleum_fuels_diesel: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:petroleum_fuels_diesel + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:petroleum_fuels_diesel:attribution_source:Detail_Use_YEAR + + petroleum_fuels_gasoline: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:petroleum_fuels_gasoline + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:petroleum_fuels_gasoline:attribution_source:Detail_Use_YEAR + + construction_and_mining: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:construction_and_mining + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:construction_and_mining:attribution_source:Detail_Use_YEAR + + farm_non_road: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:farm_non_road + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:farm_non_road:attribution_source:Detail_Use_YEAR + + other_non_road: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:other_non_road + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:other_non_road:attribution_source:Detail_Use_YEAR + + alt_fuel_on_road: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:alt_fuel_on_road + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:alt_fuel_on_road:attribution_source:Detail_Use_YEAR + + "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 + + "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + year: *ghgi_year + "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + year: *ghgi_year + "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + year: *ghgi_year + "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + year: *ghgi_year + activity_sets: # Update BEA year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets + refrigerants: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR + air_conditioning: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR + foams: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams:attribution_source:Detail_Use_YEAR + + + "EPA_GHGI_T_A_92": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + year: *ghgi_year + "EPA_GHGI_T_4_100": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + year: *ghgi_year + "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 + year: *ghgi_year + "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions + year: *ghgi_year + activity_sets: # Update EIA_MECS year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets + petroleum_neu: + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:petroleum_neu + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:petroleum_neu:attribution_source:EIA_MECS_Energy + year: *mecs_year + natural_gas_neu: + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:natural_gas_neu + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:natural_gas_neu:attribution_source:EIA_MECS_Energy + year: *mecs_year + transportation_lubricants: + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:transportation_lubricants + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:transportation_lubricants:attribution_source:Detail_Use_YEAR + + +### Major CO2 Sources + "EPA_GHGI_T_A_6": # CO2 emissions from stationary combustion. This table number varies by GHG year. + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion + year: *ghgi_year + clean_parameter: *industrial_dict + activity_sets: # Update EIA_MECS and BEA year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets + + non_manufacturing_coal: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:non_manufacturing_coal + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:non_manufacturing_coal:attribution_source:Detail_Use_YEAR + non_manufacturing_natural_gas: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:non_manufacturing_natural_gas + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:non_manufacturing_natural_gas:attribution_source:Detail_Use_YEAR + + coal_manufacturing_co2: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:coal_manufacturing_co2 + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:coal_manufacturing_co2:attribution_source:EIA_MECS_Energy + year: *mecs_year + natural_gas_manufacturing: # Industrial Natural Gas for manufacturing + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:natural_gas_manufacturing + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:natural_gas_manufacturing:attribution_source:EIA_MECS_Energy + year: *mecs_year + + petroleum: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:petroleum + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:petroleum:attribution_source:Detail_Use_YEAR + + "EPA_GHGI_T_3_8": &T_3_8 # CH4 emissions from stationary combustion + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8 + year: *ghgi_year + clean_parameter: *industrial_dict + activity_sets: # Update EIA_MECS and BEA year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets + + electric_power: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:electric_power + attribution_source: + Detail_Supply_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:electric_power:attribution_source:Detail_Supply_YEAR + + fuel_oil: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:fuel_oil + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:fuel_oil:attribution_source:Detail_Use_YEAR + + natural_gas_nonmanufacturing: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:natural_gas_nonmanufacturing + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:natural_gas_nonmanufacturing:attribution_source:Detail_Use_YEAR + coal_nonmanufacturing: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:coal_nonmanufacturing + attribution_source: + Detail_Use_2021: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:coal_nonmanufacturing:attribution_source:Detail_Use_YEAR + + coal_manufacturing: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:coal_manufacturing + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:coal_manufacturing:attribution_source:EIA_MECS_Energy + year: *mecs_year + ng_manufacturing: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:ng_manufacturing + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:ng_manufacturing:attribution_source:EIA_MECS_Energy + year: *mecs_year + + "EPA_GHGI_T_3_9": *T_3_8 # N2O emissions from stationary combustion diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml new file mode 100644 index 000000000..6d64c22fd --- /dev/null +++ b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml @@ -0,0 +1,361 @@ +# This is a 2021 target year specific implementation of GHG_national_m2 +# All parameters add year specific data when needed to implement for 2021 +# GHGI FBA table names match the 2024 GHGI Report +# MECS year is 2018 +# CoA year is 2022 + +!include:GHG_national_m2_common.yaml +ghgi_year: &ghgi_year 2021 +mecs_year: &mecs_year 2018 +coa_year: &coa_year 2022 +usgs_year: &usgs_year 2020 # FBA not available after 2020 + +sources_to_cache: + Detail_Use_2021: + !include:Detail_Use_SUT.yaml + year: *ghgi_year + source_names: + BEA_Summary_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT + year: *ghgi_year + + Detail_Supply_2021: + !include:Detail_Supply.yaml + year: *ghgi_year + source_names: + BEA_Summary_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply + year: *ghgi_year + +source_names: + GHG_national_2021_m1: # National Summary model + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1 + year: *ghgi_year + activity_sets: # Update MECS year for some activity sets + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets + + liming: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:liming + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:liming:attribution_source:Detail_Use_YEAR + + urea: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:urea + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:urea:attribution_source:Detail_Use_YEAR + + urea_fertilizer: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:urea_fertilizer + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:urea_fertilizer:attribution_source:Detail_Use_YEAR + + carbonate_use: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:carbonate_use + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:carbonate_use:attribution_source:Detail_Use_YEAR + + nitrous_oxide_use: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:nitrous_oxide_use + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:nitrous_oxide_use:attribution_source:Detail_Use_YEAR + + fertilizer_use: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:fertilizer_use + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:fertilizer_use:attribution_source:Detail_Use_YEAR + + petroleum_fuels: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels:attribution_source:Detail_Use_YEAR + + petroleum_fuels_diesel: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels_diesel + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels_diesel:attribution_source:Detail_Use_YEAR + + petroleum_fuels_gasoline: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels_gasoline + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels_gasoline:attribution_source:Detail_Use_YEAR + + construction_and_mining: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:construction_and_mining + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:construction_and_mining:attribution_source:Detail_Use_YEAR + + farm_non_road: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:farm_non_road + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:farm_non_road:attribution_source:Detail_Use_YEAR + + other_non_road: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:other_non_road + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:other_non_road:attribution_source:Detail_Use_YEAR + + alt_fuel_on_road: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:alt_fuel_on_road + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:alt_fuel_on_road:attribution_source:Detail_Use_YEAR + + non_manufacturing_coal: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:non_manufacturing_coal + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:non_manufacturing_coal:attribution_source:Detail_Use_YEAR + + non_manufacturing_natural_gas: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:non_manufacturing_natural_gas + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:non_manufacturing_natural_gas:attribution_source:Detail_Use_YEAR + + coal_manufacturing_co2: # Industrial Coal for Manufacturing + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing_co2 + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing_co2:attribution_source:EIA_MECS_Energy + year: *mecs_year + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing_co2:attribution_source:EIA_MECS_Energy:attribution_source:Detail_Use_YEAR + + natural_gas_manufacturing: # Industrial Natural Gas for manufacturing + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_manufacturing + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_manufacturing:attribution_source:EIA_MECS_Energy + year: *mecs_year + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_manufacturing:attribution_source:EIA_MECS_Energy:attribution_source:Detail_Use_YEAR + + petroleum: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum:attribution_source:Detail_Use_YEAR + + electric_power: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:electric_power + attribution_source: + Detail_Supply_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:electric_power:attribution_source:Detail_Supply_YEAR + + fuel_oil: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:fuel_oil + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:fuel_oil:attribution_source:Detail_Use_YEAR + + natural_gas_nonmanufacturing: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_nonmanufacturing + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_nonmanufacturing:attribution_source:Detail_Use_YEAR + + coal_nonmanufacturing: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_nonmanufacturing + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_nonmanufacturing:attribution_source:Detail_Use_YEAR + + coal_manufacturing: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing:attribution_source:EIA_MECS_Energy + year: *mecs_year + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing:attribution_source:EIA_MECS_Energy:attribution_source:Detail_Use_YEAR + + ng_manufacturing: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:ng_manufacturing + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:ng_manufacturing:attribution_source:EIA_MECS_Energy + year: *mecs_year + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:ng_manufacturing:attribution_source:EIA_MECS_Energy:attribution_source:Detail_Use_YEAR + + petroleum_neu: # consumed petroleum products + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_neu + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_neu:attribution_source:EIA_MECS_Energy + year: *mecs_year + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_neu:attribution_source:EIA_MECS_Energy:attribution_source:Detail_Use_YEAR + + natural_gas_neu: # consumed nat gas to chemical plants + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_neu + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_neu:attribution_source:EIA_MECS_Energy + year: *mecs_year + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_neu:attribution_source:EIA_MECS_Energy:attribution_source:Detail_Use_YEAR + + transportation_lubricants: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:transportation_lubricants + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:transportation_lubricants:attribution_source:Detail_Use_YEAR + + refrigerants: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:refrigerants + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR + + air_conditioning: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:air_conditioning + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR + + foams: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:foams + attribution_source: + Detail_Use_2021: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:foams:attribution_source:Detail_Use_YEAR + + magnesium: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:magnesium + attribution_source: + BEA_Detail_GrossOutput_IO: + year: *ghgi_year + geoscale: national + activity_to_sector_mapping: BEA_2012_Detail + attribution_method: equal + + cropland: # allocated based on USDA land area harvested + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:cropland + attribution_source: + USDA_CoA_Cropland: + !include:GHG_national_m2_common.yaml:attribution_sources:_cropland_allocation:USDA_CoA_Cropland + year: *coa_year + attribution_source: + USDA_CoA_Cropland_NAICS: + !include:GHG_national_m2_common.yaml:attribution_sources:_cropland_allocation:USDA_CoA_Cropland:attribution_source:USDA_CoA_Cropland_NAICS + year: *coa_year + + pasture: # allocated based on USDA Animal operation land (acres) + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:pasture + attribution_source: + USDA_CoA_Cropland_NAICS: + !include:GHG_national_m2_common.yaml:attribution_sources:_animal_land_allocation:USDA_CoA_Cropland_NAICS + year: *coa_year + + EPA_GHGI_T_2_1: #U.S. GHG emissions + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1 + year: *ghgi_year + activity_sets: + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets + lead: + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:lead + attribution_source: + USGS_MYB_Lead: + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:lead:attribution_source:USGS_MYB_Lead + year: *usgs_year + + EPA_GHGI_T_3_73: #CH4 from Natural Gas Systems + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_73 + year: *ghgi_year + EPA_GHGI_T_3_75: #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_75 + year: *ghgi_year + EPA_GHGI_T_3_77: #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_77 + year: *ghgi_year + + EPA_GHGI_T_3_44: #CH4 from Petroleum Systems + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_44 + year: *ghgi_year + EPA_GHGI_T_3_46: #CO2 from Petroleum Systems mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_46 + year: *ghgi_year + EPA_GHGI_T_3_48: #N2O from Petroleum Systems, not in prior method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year + +## Agriculture + EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_5_28 + year: *ghgi_year + EPA_GHGI_T_5_3: #CH4 from Enteric Fermentation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_5_3 + year: *ghgi_year + EPA_GHGI_T_5_6: #CH4 and N2O from manure, mimics enteric fermentation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_5_6 + year: *ghgi_year + +## Mobile Sources + EPA_GHGI_T_3_13: #CO2 from mobile combustion + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_13 + year: *ghgi_year + EPA_GHGI_T_3_14: &mobile #CH4 from mobile combustion + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_14 + year: *ghgi_year + EPA_GHGI_T_3_15: #N2O from mobile combustion duplicates method for CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_15 + year: *ghgi_year + +## Stationary Combustion + EPA_GHGI_T_A_6: + !include:GHG_national_m2_common.yaml:source_names:GHGI_CO2_stationary_combustion + year: *ghgi_year + EPA_GHGI_T_3_8: # CH4 emissions from stationary combustion + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_8 + year: *ghgi_year + EPA_GHGI_T_3_9: # N2O emissions from stationary combustion + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_9 + year: *ghgi_year + +## Other sources + EPA_GHGI_T_4_53: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 + year: *ghgi_year + + EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses + !include:GHG_national_m2_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions + year: *ghgi_year + +## Other Emissions + EPA_GHGI_T_4_57: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 + year: *ghgi_year + + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 + year: *ghgi_year + + EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 + year: *ghgi_year + + EPA_GHGI_T_A_92: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 + year: *ghgi_year + + EPA_GHGI_T_4_100: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 + year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml new file mode 100644 index 000000000..d1b6b6be5 --- /dev/null +++ b/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml @@ -0,0 +1,303 @@ +# This is a 2022 target year specific implementation of GHG_national_m1 +# This is a Summary level model +# All parameters add year specific data when needed to implement for 2022 +# GHGI FBA table names match the 2024 GHGI Report +# MECS year is 2018 + +!include:GHG_national_m1_common.yaml +ghgi_year: &ghgi_year 2022 +mecs_year: &mecs_year 2018 + +_industrial_allocation_dict: &industrial_dict + energy_fba: 'EIA_MECS_Energy' + year: *mecs_year + ghg_fba: 'EPA_GHGI_T_A_9' # 2018 Table + +sources_to_cache: + Detail_Use_2022: + !include:Detail_Use_SUT.yaml + year: *ghgi_year + source_names: + BEA_Summary_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT + year: *ghgi_year + + Detail_Supply_2022: + !include:Detail_Supply.yaml + year: *ghgi_year + source_names: + BEA_Summary_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply + year: *ghgi_year + +source_names: + "EPA_GHGI_T_2_1": #U.S. GHG emissions + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1 + year: *ghgi_year + activity_sets: # Update BEA year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets + electric_power: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:electric_power + attribution_source: + Detail_Supply_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:electric_power:attribution_source:Detail_Supply_YEAR + liming: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:liming + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:liming:attribution_source:Detail_Use_YEAR + urea: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea:attribution_source:Detail_Use_YEAR + urea_fertilizer: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea_fertilizer + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea_fertilizer:attribution_source:Detail_Use_YEAR + carbonate_use: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:carbonate_use + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:carbonate_use:attribution_source:Detail_Use_YEAR + nitrous_oxide_use: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:nitrous_oxide_use + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:nitrous_oxide_use:attribution_source:Detail_Use_YEAR + + "EPA_GHGI_T_3_73": #CH4 from Natural Gas Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_73 + year: *ghgi_year + "EPA_GHGI_T_3_75": #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_75 + year: *ghgi_year + "EPA_GHGI_T_3_77": #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_77 + year: *ghgi_year + "EPA_GHGI_T_3_44": #CH4 from Petroleum Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_44 + year: *ghgi_year + "EPA_GHGI_T_3_46": #CO2 from Petroleum Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_46 + year: *ghgi_year + "EPA_GHGI_T_3_48": #N2O from Petroleum Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year + "EPA_GHGI_T_5_28": #CH4, N2O, CO and NOx from field burning of residues + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_28 + year: *ghgi_year + "EPA_GHGI_T_5_3": #CH4 from Enteric Fermentation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_3 + year: *ghgi_year + "EPA_GHGI_T_5_6": #CH4 and N2O from manure, mimics enteric fermentation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_6 + year: *ghgi_year + "EPA_GHGI_T_5_17": #Direct N2O emissions from agricultural soils + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_17 + year: *ghgi_year + "EPA_GHGI_T_5_18": #Indirect N2O emissions from agricultural soils + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_18 + year: *ghgi_year + + "EPA_GHGI_T_3_13": #CO2 from mobile combustion + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_13 + year: *ghgi_year + activity_sets: # Update BEA year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_13:activity_sets + petroleum_fuels: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_13:activity_sets:petroleum_fuels + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_13:activity_sets:petroleum_fuels:attribution_source:Detail_Use_YEAR + + "EPA_GHGI_T_3_14": &T_3_14 #CH4 from mobile combustion + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14 + year: *ghgi_year + activity_sets: # Update BEA year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets + petroleum_fuels_diesel: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:petroleum_fuels_diesel + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:petroleum_fuels_diesel:attribution_source:Detail_Use_YEAR + + petroleum_fuels_gasoline: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:petroleum_fuels_gasoline + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:petroleum_fuels_gasoline:attribution_source:Detail_Use_YEAR + + construction_and_mining: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:construction_and_mining + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:construction_and_mining:attribution_source:Detail_Use_YEAR + + farm_non_road: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:farm_non_road + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:farm_non_road:attribution_source:Detail_Use_YEAR + + other_non_road: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:other_non_road + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:other_non_road:attribution_source:Detail_Use_YEAR + + alt_fuel_on_road: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:alt_fuel_on_road + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:alt_fuel_on_road:attribution_source:Detail_Use_YEAR + + "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 + + "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + year: *ghgi_year + "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + year: *ghgi_year + "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + year: *ghgi_year + "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + year: *ghgi_year + activity_sets: # Update BEA year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets + refrigerants: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR + air_conditioning: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR + foams: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams:attribution_source:Detail_Use_YEAR + + + "EPA_GHGI_T_A_92": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + year: *ghgi_year + "EPA_GHGI_T_4_100": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + year: *ghgi_year + "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 + year: *ghgi_year + "EPA_GHGI_T_3_24": #Fossil fuel for non-energy uses + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions + year: *ghgi_year + activity_sets: # Update EIA_MECS year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets + petroleum_neu: + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:petroleum_neu + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:petroleum_neu:attribution_source:EIA_MECS_Energy + year: *mecs_year + natural_gas_neu: + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:natural_gas_neu + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:natural_gas_neu:attribution_source:EIA_MECS_Energy + year: *mecs_year + transportation_lubricants: + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:transportation_lubricants + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:transportation_lubricants:attribution_source:Detail_Use_YEAR + + +### Major CO2 Sources + "EPA_GHGI_T_A_5": # CO2 emissions from stationary combustion. This table number varies by GHG year. + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion + year: *ghgi_year + clean_parameter: *industrial_dict + activity_sets: # Update EIA_MECS and BEA year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets + + non_manufacturing_coal: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:non_manufacturing_coal + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:non_manufacturing_coal:attribution_source:Detail_Use_YEAR + non_manufacturing_natural_gas: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:non_manufacturing_natural_gas + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:non_manufacturing_natural_gas:attribution_source:Detail_Use_YEAR + + coal_manufacturing_co2: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:coal_manufacturing_co2 + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:coal_manufacturing_co2:attribution_source:EIA_MECS_Energy + year: *mecs_year + natural_gas_manufacturing: # Industrial Natural Gas for manufacturing + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:natural_gas_manufacturing + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:natural_gas_manufacturing:attribution_source:EIA_MECS_Energy + year: *mecs_year + + petroleum: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:petroleum + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:petroleum:attribution_source:Detail_Use_YEAR + + "EPA_GHGI_T_3_8": &T_3_8 # CH4 emissions from stationary combustion + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8 + year: *ghgi_year + clean_parameter: *industrial_dict + activity_sets: # Update EIA_MECS and BEA year for some activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets + + electric_power: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:electric_power + attribution_source: + Detail_Supply_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:electric_power:attribution_source:Detail_Supply_YEAR + + fuel_oil: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:fuel_oil + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:fuel_oil:attribution_source:Detail_Use_YEAR + + natural_gas_nonmanufacturing: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:natural_gas_nonmanufacturing + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:natural_gas_nonmanufacturing:attribution_source:Detail_Use_YEAR + coal_nonmanufacturing: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:coal_nonmanufacturing + attribution_source: + Detail_Use_2022: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:coal_nonmanufacturing:attribution_source:Detail_Use_YEAR + + coal_manufacturing: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:coal_manufacturing + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:coal_manufacturing:attribution_source:EIA_MECS_Energy + year: *mecs_year + ng_manufacturing: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:ng_manufacturing + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:ng_manufacturing:attribution_source:EIA_MECS_Energy + year: *mecs_year + + "EPA_GHGI_T_3_9": *T_3_8 # N2O emissions from stationary combustion diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml new file mode 100644 index 000000000..5c932b71b --- /dev/null +++ b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml @@ -0,0 +1,361 @@ +# This is a 2022 target year specific implementation of GHG_national_m2 +# All parameters add year specific data when needed to implement for 2022 +# GHGI FBA table names match the 2024 GHGI Report +# MECS year is 2018 +# CoA year is 2022 + +!include:GHG_national_m2_common.yaml +ghgi_year: &ghgi_year 2022 +mecs_year: &mecs_year 2018 +coa_year: &coa_year 2022 +usgs_year: &usgs_year 2020 # FBA not available after 2020 + +sources_to_cache: + Detail_Use_2022: + !include:Detail_Use_SUT.yaml + year: *ghgi_year + source_names: + BEA_Summary_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT + year: *ghgi_year + + Detail_Supply_2022: + !include:Detail_Supply.yaml + year: *ghgi_year + source_names: + BEA_Summary_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply + year: *ghgi_year + +source_names: + GHG_national_2022_m1: # National Summary model + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1 + year: *ghgi_year + activity_sets: # Update MECS year for some activity sets + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets + + liming: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:liming + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:liming:attribution_source:Detail_Use_YEAR + + urea: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:urea + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:urea:attribution_source:Detail_Use_YEAR + + urea_fertilizer: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:urea_fertilizer + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:urea_fertilizer:attribution_source:Detail_Use_YEAR + + carbonate_use: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:carbonate_use + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:carbonate_use:attribution_source:Detail_Use_YEAR + + nitrous_oxide_use: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:nitrous_oxide_use + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:nitrous_oxide_use:attribution_source:Detail_Use_YEAR + + fertilizer_use: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:fertilizer_use + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:fertilizer_use:attribution_source:Detail_Use_YEAR + + petroleum_fuels: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels:attribution_source:Detail_Use_YEAR + + petroleum_fuels_diesel: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels_diesel + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels_diesel:attribution_source:Detail_Use_YEAR + + petroleum_fuels_gasoline: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels_gasoline + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels_gasoline:attribution_source:Detail_Use_YEAR + + construction_and_mining: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:construction_and_mining + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:construction_and_mining:attribution_source:Detail_Use_YEAR + + farm_non_road: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:farm_non_road + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:farm_non_road:attribution_source:Detail_Use_YEAR + + other_non_road: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:other_non_road + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:other_non_road:attribution_source:Detail_Use_YEAR + + alt_fuel_on_road: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:alt_fuel_on_road + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:alt_fuel_on_road:attribution_source:Detail_Use_YEAR + + non_manufacturing_coal: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:non_manufacturing_coal + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:non_manufacturing_coal:attribution_source:Detail_Use_YEAR + + non_manufacturing_natural_gas: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:non_manufacturing_natural_gas + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:non_manufacturing_natural_gas:attribution_source:Detail_Use_YEAR + + coal_manufacturing_co2: # Industrial Coal for Manufacturing + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing_co2 + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing_co2:attribution_source:EIA_MECS_Energy + year: *mecs_year + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing_co2:attribution_source:EIA_MECS_Energy:attribution_source:Detail_Use_YEAR + + natural_gas_manufacturing: # Industrial Natural Gas for manufacturing + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_manufacturing + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_manufacturing:attribution_source:EIA_MECS_Energy + year: *mecs_year + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_manufacturing:attribution_source:EIA_MECS_Energy:attribution_source:Detail_Use_YEAR + + petroleum: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum:attribution_source:Detail_Use_YEAR + + electric_power: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:electric_power + attribution_source: + Detail_Supply_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:electric_power:attribution_source:Detail_Supply_YEAR + + fuel_oil: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:fuel_oil + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:fuel_oil:attribution_source:Detail_Use_YEAR + + natural_gas_nonmanufacturing: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_nonmanufacturing + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_nonmanufacturing:attribution_source:Detail_Use_YEAR + + coal_nonmanufacturing: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_nonmanufacturing + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_nonmanufacturing:attribution_source:Detail_Use_YEAR + + coal_manufacturing: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing:attribution_source:EIA_MECS_Energy + year: *mecs_year + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing:attribution_source:EIA_MECS_Energy:attribution_source:Detail_Use_YEAR + + ng_manufacturing: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:ng_manufacturing + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:ng_manufacturing:attribution_source:EIA_MECS_Energy + year: *mecs_year + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:ng_manufacturing:attribution_source:EIA_MECS_Energy:attribution_source:Detail_Use_YEAR + + petroleum_neu: # consumed petroleum products + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_neu + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_neu:attribution_source:EIA_MECS_Energy + year: *mecs_year + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_neu:attribution_source:EIA_MECS_Energy:attribution_source:Detail_Use_YEAR + + natural_gas_neu: # consumed nat gas to chemical plants + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_neu + attribution_source: + EIA_MECS_Energy: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_neu:attribution_source:EIA_MECS_Energy + year: *mecs_year + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_neu:attribution_source:EIA_MECS_Energy:attribution_source:Detail_Use_YEAR + + transportation_lubricants: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:transportation_lubricants + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:transportation_lubricants:attribution_source:Detail_Use_YEAR + + refrigerants: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:refrigerants + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR + + air_conditioning: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:air_conditioning + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR + + foams: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:foams + attribution_source: + Detail_Use_2022: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:foams:attribution_source:Detail_Use_YEAR + + magnesium: + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:magnesium + attribution_source: + BEA_Detail_GrossOutput_IO: + year: *ghgi_year + geoscale: national + activity_to_sector_mapping: BEA_2012_Detail + attribution_method: equal + + cropland: # allocated based on USDA land area harvested + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:cropland + attribution_source: + USDA_CoA_Cropland: + !include:GHG_national_m2_common.yaml:attribution_sources:_cropland_allocation:USDA_CoA_Cropland + year: *coa_year + attribution_source: + USDA_CoA_Cropland_NAICS: + !include:GHG_national_m2_common.yaml:attribution_sources:_cropland_allocation:USDA_CoA_Cropland:attribution_source:USDA_CoA_Cropland_NAICS + year: *coa_year + + pasture: # allocated based on USDA Animal operation land (acres) + !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:pasture + attribution_source: + USDA_CoA_Cropland_NAICS: + !include:GHG_national_m2_common.yaml:attribution_sources:_animal_land_allocation:USDA_CoA_Cropland_NAICS + year: *coa_year + + EPA_GHGI_T_2_1: #U.S. GHG emissions + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1 + year: *ghgi_year + activity_sets: + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets + lead: + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:lead + attribution_source: + USGS_MYB_Lead: + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:lead:attribution_source:USGS_MYB_Lead + year: *usgs_year + + EPA_GHGI_T_3_73: #CH4 from Natural Gas Systems + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_73 + year: *ghgi_year + EPA_GHGI_T_3_75: #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_75 + year: *ghgi_year + EPA_GHGI_T_3_77: #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_77 + year: *ghgi_year + + EPA_GHGI_T_3_44: #CH4 from Petroleum Systems + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_44 + year: *ghgi_year + EPA_GHGI_T_3_46: #CO2 from Petroleum Systems mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_46 + year: *ghgi_year + EPA_GHGI_T_3_48: #N2O from Petroleum Systems, not in prior method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year + +## Agriculture + EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_5_28 + year: *ghgi_year + EPA_GHGI_T_5_3: #CH4 from Enteric Fermentation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_5_3 + year: *ghgi_year + EPA_GHGI_T_5_6: #CH4 and N2O from manure, mimics enteric fermentation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_5_6 + year: *ghgi_year + +## Mobile Sources + EPA_GHGI_T_3_13: #CO2 from mobile combustion + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_13 + year: *ghgi_year + EPA_GHGI_T_3_14: &mobile #CH4 from mobile combustion + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_14 + year: *ghgi_year + EPA_GHGI_T_3_15: #N2O from mobile combustion duplicates method for CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_15 + year: *ghgi_year + +## Stationary Combustion + EPA_GHGI_T_A_5: + !include:GHG_national_m2_common.yaml:source_names:GHGI_CO2_stationary_combustion + year: *ghgi_year + EPA_GHGI_T_3_8: # CH4 emissions from stationary combustion + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_8 + year: *ghgi_year + EPA_GHGI_T_3_9: # N2O emissions from stationary combustion + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_9 + year: *ghgi_year + +## Other sources + EPA_GHGI_T_4_53: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 + year: *ghgi_year + + EPA_GHGI_T_3_24: # Fossil fuel for non-energy uses + !include:GHG_national_m2_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions + year: *ghgi_year + +## Other Emissions + EPA_GHGI_T_4_57: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 + year: *ghgi_year + + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 + year: *ghgi_year + + EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 + year: *ghgi_year + + EPA_GHGI_T_A_92: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 + year: *ghgi_year + + EPA_GHGI_T_4_100: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 + year: *ghgi_year From 90bf88c768a86628c2c33f4150d4053319729f2e Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 20 Mar 2024 15:26:37 -0400 Subject: [PATCH 15/69] point to more current ghg fbs for testing --- tests/test_examples.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_examples.py b/tests/test_examples.py index a4887f9ef..30976b473 100644 --- a/tests/test_examples.py +++ b/tests/test_examples.py @@ -22,7 +22,7 @@ def test_get_flows_by_sector(): flowsa.flowbysector.getFlowBySector('TRI_DMR_state_2017', download_FBAs_if_missing=True) - flowsa.flowbysector.getFlowBySector('GHG_national_2016_m1', + flowsa.flowbysector.getFlowBySector('GHG_national_2019_m1', download_FBAs_if_missing=True) flowsa.flowbysector.getFlowBySector('CNHW_national_2018', From ee0731e7c0177a80327903cf1bbb0c29e93d8480 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 20 Mar 2024 15:57:38 -0400 Subject: [PATCH 16/69] :construction: temporarily turn off test for ghg fbs --- tests/test_examples.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_examples.py b/tests/test_examples.py index 30976b473..8bd17924f 100644 --- a/tests/test_examples.py +++ b/tests/test_examples.py @@ -22,8 +22,8 @@ def test_get_flows_by_sector(): flowsa.flowbysector.getFlowBySector('TRI_DMR_state_2017', download_FBAs_if_missing=True) - flowsa.flowbysector.getFlowBySector('GHG_national_2019_m1', - download_FBAs_if_missing=True) + # flowsa.flowbysector.getFlowBySector('GHG_national_2019_m1', + # download_FBAs_if_missing=True) flowsa.flowbysector.getFlowBySector('CNHW_national_2018', download_FBAs_if_missing=True, From eb955fe429645981d5ce5464fa1852765e9298f3 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Thu, 21 Mar 2024 22:34:15 -0400 Subject: [PATCH 17/69] update supply and use (summary 2017-2022 and detail 2017 tables) from useeior v1.5 --- .../BEA_Detail_GrossOutput_IO_17sch.csv | 403 ++++++++++++++++++ ...7.csv => BEA_Detail_Supply_2017_17sch.csv} | 12 +- ....csv => BEA_Detail_Use_SUT_2017_17sch.csv} | 0 ....csv => BEA_Summary_Supply_2017_17sch.csv} | 12 +- ....csv => BEA_Summary_Supply_2018_17sch.csv} | 12 +- ....csv => BEA_Summary_Supply_2019_17sch.csv} | 12 +- ....csv => BEA_Summary_Supply_2020_17sch.csv} | 12 +- ....csv => BEA_Summary_Supply_2021_17sch.csv} | 12 +- ....csv => BEA_Summary_Supply_2022_17sch.csv} | 12 +- ...csv => BEA_Summary_Use_SUT_2017_17sch.csv} | 0 .../BEA_Summary_Use_SUT_2018.csv | 84 ---- .../BEA_Summary_Use_SUT_2018_17sch.csv | 84 ++++ .../BEA_Summary_Use_SUT_2019.csv | 84 ---- .../BEA_Summary_Use_SUT_2019_17sch.csv | 84 ++++ .../BEA_Summary_Use_SUT_2020.csv | 84 ---- .../BEA_Summary_Use_SUT_2020_17sch.csv | 84 ++++ .../BEA_Summary_Use_SUT_2021.csv | 84 ---- .../BEA_Summary_Use_SUT_2021_17sch.csv | 84 ++++ .../BEA_Summary_Use_SUT_2022.csv | 84 ---- .../BEA_Summary_Use_SUT_2022_17sch.csv | 84 ++++ .../Detail_GrossOutput_IO_17sch_metadata.json | 14 + ...=> Detail_Supply_2017_17sch_metadata.json} | 10 +- ...> Detail_Use_SUT_2017_17sch_metadata.json} | 10 +- ...> Summary_Supply_2017_17sch_metadata.json} | 10 +- ...> Summary_Supply_2018_17sch_metadata.json} | 10 +- ...> Summary_Supply_2019_17sch_metadata.json} | 10 +- ...> Summary_Supply_2020_17sch_metadata.json} | 10 +- ...> Summary_Supply_2021_17sch_metadata.json} | 10 +- ...> Summary_Supply_2022_17sch_metadata.json} | 10 +- ... Summary_Use_SUT_2017_17sch_metadata.json} | 10 +- ... Summary_Use_SUT_2018_17sch_metadata.json} | 10 +- ... Summary_Use_SUT_2019_17sch_metadata.json} | 10 +- ... Summary_Use_SUT_2020_17sch_metadata.json} | 10 +- ... Summary_Use_SUT_2021_17sch_metadata.json} | 10 +- ... Summary_Use_SUT_2022_17sch_metadata.json} | 10 +- flowsa/data_source_scripts/BEA.py | 4 +- .../BEA_Detail_Supply.yaml | 2 +- .../BEA_Detail_Use_SUT.yaml | 2 +- .../BEA_Summary_Supply.yaml | 2 +- .../BEA_Summary_Use_SUT.yaml | 2 +- scripts/write_BEA_data_from_useeior.py | 42 +- 41 files changed, 976 insertions(+), 559 deletions(-) create mode 100644 flowsa/data/external_data/BEA_Detail_GrossOutput_IO_17sch.csv rename flowsa/data/external_data/{BEA_Detail_Supply_2017.csv => BEA_Detail_Supply_2017_17sch.csv} (99%) rename flowsa/data/external_data/{BEA_Detail_Use_SUT_2017.csv => BEA_Detail_Use_SUT_2017_17sch.csv} (100%) rename flowsa/data/external_data/{BEA_Summary_Supply_2017.csv => BEA_Summary_Supply_2017_17sch.csv} (97%) rename flowsa/data/external_data/{BEA_Summary_Supply_2018.csv => BEA_Summary_Supply_2018_17sch.csv} (97%) rename flowsa/data/external_data/{BEA_Summary_Supply_2019.csv => BEA_Summary_Supply_2019_17sch.csv} (97%) rename flowsa/data/external_data/{BEA_Summary_Supply_2020.csv => BEA_Summary_Supply_2020_17sch.csv} (97%) rename flowsa/data/external_data/{BEA_Summary_Supply_2021.csv => BEA_Summary_Supply_2021_17sch.csv} (97%) rename flowsa/data/external_data/{BEA_Summary_Supply_2022.csv => BEA_Summary_Supply_2022_17sch.csv} (97%) rename flowsa/data/external_data/{BEA_Summary_Use_SUT_2017.csv => BEA_Summary_Use_SUT_2017_17sch.csv} (100%) delete mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2018.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2018_17sch.csv delete mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2019.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2019_17sch.csv delete mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2020.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2020_17sch.csv delete mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2021.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2021_17sch.csv delete mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2022.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2022_17sch.csv create mode 100644 flowsa/data/external_data/Detail_GrossOutput_IO_17sch_metadata.json rename flowsa/data/external_data/{BEA_Detail_Use_SUT_2017_metadata.json => Detail_Supply_2017_17sch_metadata.json} (56%) rename flowsa/data/external_data/{Summary_Use_SUT_2017_metadata.json => Detail_Use_SUT_2017_17sch_metadata.json} (55%) rename flowsa/data/external_data/{BEA_Detail_Supply_2017_metadata.json => Summary_Supply_2017_17sch_metadata.json} (56%) rename flowsa/data/external_data/{Summary_Supply_2018_metadata.json => Summary_Supply_2018_17sch_metadata.json} (56%) rename flowsa/data/external_data/{Summary_Supply_2019_metadata.json => Summary_Supply_2019_17sch_metadata.json} (56%) rename flowsa/data/external_data/{Summary_Supply_2020_metadata.json => Summary_Supply_2020_17sch_metadata.json} (56%) rename flowsa/data/external_data/{Summary_Supply_2021_metadata.json => Summary_Supply_2021_17sch_metadata.json} (56%) rename flowsa/data/external_data/{Summary_Supply_2022_metadata.json => Summary_Supply_2022_17sch_metadata.json} (56%) rename flowsa/data/external_data/{Summary_Supply_2017_metadata.json => Summary_Use_SUT_2017_17sch_metadata.json} (56%) rename flowsa/data/external_data/{Summary_Use_SUT_2018_metadata.json => Summary_Use_SUT_2018_17sch_metadata.json} (56%) rename flowsa/data/external_data/{Summary_Use_SUT_2019_metadata.json => Summary_Use_SUT_2019_17sch_metadata.json} (56%) rename flowsa/data/external_data/{Summary_Use_SUT_2020_metadata.json => Summary_Use_SUT_2020_17sch_metadata.json} (56%) rename flowsa/data/external_data/{Summary_Use_SUT_2021_metadata.json => Summary_Use_SUT_2021_17sch_metadata.json} (56%) rename flowsa/data/external_data/{Summary_Use_SUT_2022_metadata.json => Summary_Use_SUT_2022_17sch_metadata.json} (56%) diff --git a/flowsa/data/external_data/BEA_Detail_GrossOutput_IO_17sch.csv b/flowsa/data/external_data/BEA_Detail_GrossOutput_IO_17sch.csv new file mode 100644 index 000000000..2728b6a57 --- /dev/null +++ b/flowsa/data/external_data/BEA_Detail_GrossOutput_IO_17sch.csv @@ -0,0 +1,403 @@ +"","2017","2018","2019","2020","2021","2022" +"1111A0",38216,36985,32812,40790,51037,62551 +"1111B0",57882,59740,58014,58874,89372,102501 +"111200",18806,16580,15611,17107,17388,18646 +"111300",29958,28634,27870,27085,30661,29530 +"111400",19868,22996,23548,23977,25798,27236 +"111900",26575,24829,23483,25522,30867,33321 +"112120",38538,36132,41485,41326,42814,58898 +"1121A0",88052,90279,92771,88584,103925,117448 +"112300",44568,47160,40444,35819,46091,76003 +"112A00",33065,31739,31485,30238,34127,38574 +"113000",18803,19470,18122,20549,26439,27306 +"114000",8929,8409,8480,7582,9795,10840 +"115000",25650,25174,25059,26194,26920,29793 +"211000",253994,346639,317947,210572,417848,639316 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diff --git a/flowsa/data/external_data/BEA_Detail_Use_SUT_2017.csv b/flowsa/data/external_data/BEA_Detail_Use_SUT_2017_17sch.csv similarity index 100% rename from flowsa/data/external_data/BEA_Detail_Use_SUT_2017.csv rename to flowsa/data/external_data/BEA_Detail_Use_SUT_2017_17sch.csv diff --git a/flowsa/data/external_data/BEA_Summary_Supply_2017.csv b/flowsa/data/external_data/BEA_Summary_Supply_2017_17sch.csv similarity index 97% rename from flowsa/data/external_data/BEA_Summary_Supply_2017.csv rename to flowsa/data/external_data/BEA_Summary_Supply_2017_17sch.csv index b3e1ed354..a4f7d0e37 100644 --- a/flowsa/data/external_data/BEA_Summary_Supply_2017.csv +++ b/flowsa/data/external_data/BEA_Summary_Supply_2017_17sch.csv @@ -30,13 +30,13 @@ "445",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,209336,0,0,0,0,0,0,0,0,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,122,315,0,0,0,0,0,5076,214859,0,0,214859,-214859,0,-214859,0,0,0,0,0 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b/flowsa/data/external_data/Detail_GrossOutput_IO_17sch_metadata.json @@ -0,0 +1,14 @@ +{ + "tool": ["useeior"], + "name_data": ["Detail_GrossOutput_IO_17sch"], + "tool_version": ["1.5.0"], + "ext": ["json"], + "date_created": ["2024-03-22"], + "data_meta": { + "data_year": ["2017", "2018", "2019", "2020", "2021", "2022"], + "author": ["US Bureau of Economic Analysis"], + "source_url": ["https://apps.bea.gov/industry/Release/ZIP/UGdpByInd.zip"], + "date_last_modified": ["2023-11-20"], + "date_accessed": ["2024-03-22"] + } +} diff --git a/flowsa/data/external_data/BEA_Detail_Use_SUT_2017_metadata.json b/flowsa/data/external_data/Detail_Supply_2017_17sch_metadata.json similarity index 56% rename from flowsa/data/external_data/BEA_Detail_Use_SUT_2017_metadata.json rename to flowsa/data/external_data/Detail_Supply_2017_17sch_metadata.json index 4459204da..dffddbc6b 100644 --- a/flowsa/data/external_data/BEA_Detail_Use_SUT_2017_metadata.json +++ b/flowsa/data/external_data/Detail_Supply_2017_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Detail_Use_SUT_2017"], - "tool_version": ["1.4.0"], + "name_data": ["Detail_Supply_2017_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2017], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-25"], - "date_accessed": ["2023-10-12"] + "date_last_modified": ["2024-02-01"], + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data/external_data/Summary_Use_SUT_2017_metadata.json b/flowsa/data/external_data/Detail_Use_SUT_2017_17sch_metadata.json similarity index 55% rename from flowsa/data/external_data/Summary_Use_SUT_2017_metadata.json rename to flowsa/data/external_data/Detail_Use_SUT_2017_17sch_metadata.json index c3f140ac1..e5f41e9a1 100644 --- a/flowsa/data/external_data/Summary_Use_SUT_2017_metadata.json +++ b/flowsa/data/external_data/Detail_Use_SUT_2017_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Summary_Use_SUT_2017"], - "tool_version": ["1.4.0"], + "name_data": ["Detail_Use_SUT_2017_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2017], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-13"], - "date_accessed": ["2023-10-12"] + "date_last_modified": ["2024-02-01"], + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data/external_data/BEA_Detail_Supply_2017_metadata.json b/flowsa/data/external_data/Summary_Supply_2017_17sch_metadata.json similarity index 56% rename from flowsa/data/external_data/BEA_Detail_Supply_2017_metadata.json rename to flowsa/data/external_data/Summary_Supply_2017_17sch_metadata.json index 0f40452e5..dcc58d749 100644 --- a/flowsa/data/external_data/BEA_Detail_Supply_2017_metadata.json +++ b/flowsa/data/external_data/Summary_Supply_2017_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Detail_Supply_2017"], - "tool_version": ["1.4.0"], + "name_data": ["Summary_Supply_2017_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2017], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-25"], - "date_accessed": ["2023-10-12"] + "date_last_modified": {}, + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data/external_data/Summary_Supply_2018_metadata.json b/flowsa/data/external_data/Summary_Supply_2018_17sch_metadata.json similarity index 56% rename from flowsa/data/external_data/Summary_Supply_2018_metadata.json rename to flowsa/data/external_data/Summary_Supply_2018_17sch_metadata.json index 946686507..d5e085f11 100644 --- a/flowsa/data/external_data/Summary_Supply_2018_metadata.json +++ b/flowsa/data/external_data/Summary_Supply_2018_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Summary_Supply_2018"], - "tool_version": ["1.4.0"], + "name_data": ["Summary_Supply_2018_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2018], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-13"], - "date_accessed": ["2023-10-12"] + "date_last_modified": {}, + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data/external_data/Summary_Supply_2019_metadata.json b/flowsa/data/external_data/Summary_Supply_2019_17sch_metadata.json similarity index 56% rename from flowsa/data/external_data/Summary_Supply_2019_metadata.json rename to flowsa/data/external_data/Summary_Supply_2019_17sch_metadata.json index 4900809a2..b168ab646 100644 --- a/flowsa/data/external_data/Summary_Supply_2019_metadata.json +++ b/flowsa/data/external_data/Summary_Supply_2019_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Summary_Supply_2019"], - "tool_version": ["1.4.0"], + "name_data": ["Summary_Supply_2019_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2019], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-13"], - "date_accessed": ["2023-10-12"] + "date_last_modified": {}, + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data/external_data/Summary_Supply_2020_metadata.json b/flowsa/data/external_data/Summary_Supply_2020_17sch_metadata.json similarity index 56% rename from flowsa/data/external_data/Summary_Supply_2020_metadata.json rename to flowsa/data/external_data/Summary_Supply_2020_17sch_metadata.json index f52a56d9d..636f2ca55 100644 --- a/flowsa/data/external_data/Summary_Supply_2020_metadata.json +++ b/flowsa/data/external_data/Summary_Supply_2020_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Summary_Supply_2020"], - "tool_version": ["1.4.0"], + "name_data": ["Summary_Supply_2020_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2020], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-13"], - "date_accessed": ["2023-10-12"] + "date_last_modified": {}, + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data/external_data/Summary_Supply_2021_metadata.json b/flowsa/data/external_data/Summary_Supply_2021_17sch_metadata.json similarity index 56% rename from flowsa/data/external_data/Summary_Supply_2021_metadata.json rename to flowsa/data/external_data/Summary_Supply_2021_17sch_metadata.json index d67387132..ef72fa775 100644 --- a/flowsa/data/external_data/Summary_Supply_2021_metadata.json +++ b/flowsa/data/external_data/Summary_Supply_2021_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Summary_Supply_2021"], - "tool_version": ["1.4.0"], + "name_data": ["Summary_Supply_2021_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2021], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-13"], - "date_accessed": ["2023-10-12"] + "date_last_modified": {}, + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data/external_data/Summary_Supply_2022_metadata.json b/flowsa/data/external_data/Summary_Supply_2022_17sch_metadata.json similarity index 56% rename from flowsa/data/external_data/Summary_Supply_2022_metadata.json rename to flowsa/data/external_data/Summary_Supply_2022_17sch_metadata.json index 827115e7a..277e91d92 100644 --- a/flowsa/data/external_data/Summary_Supply_2022_metadata.json +++ b/flowsa/data/external_data/Summary_Supply_2022_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Summary_Supply_2022"], - "tool_version": ["1.4.0"], + "name_data": ["Summary_Supply_2022_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2022], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-13"], - "date_accessed": ["2023-10-12"] + "date_last_modified": {}, + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data/external_data/Summary_Supply_2017_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2017_17sch_metadata.json similarity index 56% rename from flowsa/data/external_data/Summary_Supply_2017_metadata.json rename to flowsa/data/external_data/Summary_Use_SUT_2017_17sch_metadata.json index 0107791be..03c353c95 100644 --- a/flowsa/data/external_data/Summary_Supply_2017_metadata.json +++ b/flowsa/data/external_data/Summary_Use_SUT_2017_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Summary_Supply_2017"], - "tool_version": ["1.4.0"], + "name_data": ["Summary_Use_SUT_2017_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2017], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-13"], - "date_accessed": ["2023-10-12"] + "date_last_modified": {}, + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data/external_data/Summary_Use_SUT_2018_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2018_17sch_metadata.json similarity index 56% rename from flowsa/data/external_data/Summary_Use_SUT_2018_metadata.json rename to flowsa/data/external_data/Summary_Use_SUT_2018_17sch_metadata.json index 06762ae51..939ed8b0d 100644 --- a/flowsa/data/external_data/Summary_Use_SUT_2018_metadata.json +++ b/flowsa/data/external_data/Summary_Use_SUT_2018_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Summary_Use_SUT_2018"], - "tool_version": ["1.4.0"], + "name_data": ["Summary_Use_SUT_2018_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2018], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-13"], - "date_accessed": ["2023-10-12"] + "date_last_modified": {}, + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data/external_data/Summary_Use_SUT_2019_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2019_17sch_metadata.json similarity index 56% rename from flowsa/data/external_data/Summary_Use_SUT_2019_metadata.json rename to flowsa/data/external_data/Summary_Use_SUT_2019_17sch_metadata.json index c7efbd643..7672cc7aa 100644 --- a/flowsa/data/external_data/Summary_Use_SUT_2019_metadata.json +++ b/flowsa/data/external_data/Summary_Use_SUT_2019_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Summary_Use_SUT_2019"], - "tool_version": ["1.4.0"], + "name_data": ["Summary_Use_SUT_2019_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2019], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-13"], - "date_accessed": ["2023-10-12"] + "date_last_modified": {}, + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data/external_data/Summary_Use_SUT_2020_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2020_17sch_metadata.json similarity index 56% rename from flowsa/data/external_data/Summary_Use_SUT_2020_metadata.json rename to flowsa/data/external_data/Summary_Use_SUT_2020_17sch_metadata.json index 92aa79b5c..94497f937 100644 --- a/flowsa/data/external_data/Summary_Use_SUT_2020_metadata.json +++ b/flowsa/data/external_data/Summary_Use_SUT_2020_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Summary_Use_SUT_2020"], - "tool_version": ["1.4.0"], + "name_data": ["Summary_Use_SUT_2020_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2020], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-13"], - "date_accessed": ["2023-10-12"] + "date_last_modified": {}, + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data/external_data/Summary_Use_SUT_2021_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2021_17sch_metadata.json similarity index 56% rename from flowsa/data/external_data/Summary_Use_SUT_2021_metadata.json rename to flowsa/data/external_data/Summary_Use_SUT_2021_17sch_metadata.json index 2f345a0a2..6f3a2c528 100644 --- a/flowsa/data/external_data/Summary_Use_SUT_2021_metadata.json +++ b/flowsa/data/external_data/Summary_Use_SUT_2021_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Summary_Use_SUT_2021"], - "tool_version": ["1.4.0"], + "name_data": ["Summary_Use_SUT_2021_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2021], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-13"], - "date_accessed": ["2023-10-12"] + "date_last_modified": {}, + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data/external_data/Summary_Use_SUT_2022_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2022_17sch_metadata.json similarity index 56% rename from flowsa/data/external_data/Summary_Use_SUT_2022_metadata.json rename to flowsa/data/external_data/Summary_Use_SUT_2022_17sch_metadata.json index 7cd64ff24..a1cadebaf 100644 --- a/flowsa/data/external_data/Summary_Use_SUT_2022_metadata.json +++ b/flowsa/data/external_data/Summary_Use_SUT_2022_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], - "name_data": ["Summary_Use_SUT_2022"], - "tool_version": ["1.4.0"], + "name_data": ["Summary_Use_SUT_2022_17sch"], + "tool_version": ["1.5.0"], "ext": ["json"], - "date_created": ["2023-10-12"], + "date_created": ["2024-03-22"], "data_meta": { "data_year": [2022], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], - "date_last_modified": ["2023-09-13"], - "date_accessed": ["2023-10-12"] + "date_last_modified": {}, + "date_accessed": ["2024-03-22"] } } diff --git a/flowsa/data_source_scripts/BEA.py b/flowsa/data_source_scripts/BEA.py index 892d1570f..e8419dd0d 100644 --- a/flowsa/data_source_scripts/BEA.py +++ b/flowsa/data_source_scripts/BEA.py @@ -27,11 +27,11 @@ def bea_parse(*, source, year, **_): if 'Make' in source: filename = source.replace('_Make_', f'_Make_{year}_') elif 'Use_SUT' in source: - filename = f'{source}_{year}' + filename = f'{source}_{year}_17sch' elif 'Use' in source: filename = source.replace('_Use_', f'_Use_{year}_') elif 'Supply' in source: - filename = f'{source}_{year}' + filename = f'{source}_{year}_17sch' else: filename = source diff --git a/flowsa/methods/flowbyactivitymethods/BEA_Detail_Supply.yaml b/flowsa/methods/flowbyactivitymethods/BEA_Detail_Supply.yaml index 04a0d53a6..e6b34cb18 100644 --- a/flowsa/methods/flowbyactivitymethods/BEA_Detail_Supply.yaml +++ b/flowsa/methods/flowbyactivitymethods/BEA_Detail_Supply.yaml @@ -1,7 +1,7 @@ author: U.S. Bureau of Economic Analysis source_name: Detail Supply source_url: 'https://www.bea.gov/industry/input-output-accounts-data#supplemental-estimate-tables' -original_data_download_date: '2023-10-12' +original_data_download_date: '2024-03-21' bib_id: BEA_Detail_Supply format: csv url: None diff --git a/flowsa/methods/flowbyactivitymethods/BEA_Detail_Use_SUT.yaml b/flowsa/methods/flowbyactivitymethods/BEA_Detail_Use_SUT.yaml index b57f5124a..976742678 100644 --- a/flowsa/methods/flowbyactivitymethods/BEA_Detail_Use_SUT.yaml +++ b/flowsa/methods/flowbyactivitymethods/BEA_Detail_Use_SUT.yaml @@ -1,7 +1,7 @@ author: U.S. Bureau of Economic Analysis source_name: Detail Use SUT source_url: 'https://www.bea.gov/industry/input-output-accounts-data#supplemental-estimate-tables' -original_data_download_date: '2023-10-12' +original_data_download_date: '2024-03-21' bib_id: BEA_Detail_Use_SUT format: csv url: None diff --git a/flowsa/methods/flowbyactivitymethods/BEA_Summary_Supply.yaml b/flowsa/methods/flowbyactivitymethods/BEA_Summary_Supply.yaml index 74737a324..8eb652f29 100644 --- a/flowsa/methods/flowbyactivitymethods/BEA_Summary_Supply.yaml +++ b/flowsa/methods/flowbyactivitymethods/BEA_Summary_Supply.yaml @@ -1,7 +1,7 @@ author: U.S. Bureau of Economic Analysis source_name: Summary Supply source_url: 'https://www.bea.gov/industry/input-output-accounts-data#supplemental-estimate-tables' -original_data_download_date: '2023-10-12' +original_data_download_date: '2024-03-21' bib_id: BEA_Summary_Supply format: csv url: None diff --git a/flowsa/methods/flowbyactivitymethods/BEA_Summary_Use_SUT.yaml b/flowsa/methods/flowbyactivitymethods/BEA_Summary_Use_SUT.yaml index 8e5abf943..b3bd95873 100644 --- a/flowsa/methods/flowbyactivitymethods/BEA_Summary_Use_SUT.yaml +++ b/flowsa/methods/flowbyactivitymethods/BEA_Summary_Use_SUT.yaml @@ -1,7 +1,7 @@ author: U.S. Bureau of Economic Analysis source_name: Summary Use SUT source_url: 'https://www.bea.gov/industry/input-output-accounts-data#supplemental-estimate-tables' -original_data_download_date: '2023-10-12' +original_data_download_date: '2024-03-21' bib_id: BEA_Summary_Use_SUT format: csv url: None diff --git a/scripts/write_BEA_data_from_useeior.py b/scripts/write_BEA_data_from_useeior.py index 6436862c3..1c6b9ace8 100644 --- a/scripts/write_BEA_data_from_useeior.py +++ b/scripts/write_BEA_data_from_useeior.py @@ -21,16 +21,16 @@ --- The Detail_Use_SUT_2017 was pulled from -USEEIOR's Detail_Use_SUT_2017.rda on 10/12/2023. +USEEIOR's Detail_Use_SUT_2017_17sch.rda on 3/21/2024. The original file is found here: -https://github.com/USEPA/useeior/blob/e02d979f099bbd60625e9c31099f89c111f2d654/data/Detail_Use_SUT_2017.rda +https://github.com/USEPA/useeior/blob/d6a8d0768c44fda6a431a458ab42b45edba8ef4c/data/Detail_Use_SUT_2017_17sch.rda csv obtained by running the following code in Rstudio: -use2017 <- get('Detail_Use_SUT_2017') -write.csv(use2017, file='BEA_Detail_Use_SUT_2017.csv') +use2017 <- get('Detail_Use_SUT_2017_17sch') +write.csv(use2017, file='BEA_Detail_Use_SUT_2017_17sch.csv') CSV manually added to flowsa -The metadata file 'BEA_Detail_Use_SUT_2017_metadata.json' was manually copied from useeior/extdata/metadata +The metadata file 'BEA_Detail_Use_SUT_2017_17sch_metadata.json' was manually copied from useeior/extdata/metadata --- @@ -48,51 +48,51 @@ --- The Detail_Supply_2017 was pulled from -USEEIOR's Detail_Supply_2017.rda on 10/12/2023. +USEEIOR's Detail_Supply_2017_17sch.rda on 3/21/2024. The original file is found here: -https://github.com/USEPA/useeior/blob/e02d979f099bbd60625e9c31099f89c111f2d654/data/Detail_Supply_2017.rda +https://github.com/USEPA/useeior/blob/d6a8d0768c44fda6a431a458ab42b45edba8ef4c/data/Detail_Supply_2017_17sch.rda csv obtained by running the following code in Rstudio: -supply2017 <- get('Detail_Supply_2017') -write.csv(supply2017, file='BEA_Detail_Supply_2017.csv') +supply2017 <- get('Detail_Supply_2017_17sch') +write.csv(supply2017, file='BEA_Detail_Supply_2017_17sch.csv') CSV manually added to flowsa -The metadata file 'BEA_Detail_Supply_2017_metadata.json' was manually copied from useeior/extdata/metadata +The metadata file 'BEA_Detail_Supply_2017_17sch_metadata.json' was manually copied from useeior/extdata/metadata --- --- The BEA_Summary_Supply and BEA_Summary_Supply csvs was pulled from -useeior @a89af7c5adff70ea743e4aab783cfa924a53c0bd using this code +useeior @d6a8d0768c44fda6a431a458ab42b45edba8ef4c using this code load_all() for (y in 2017:2022) { - name <- paste0('Summary_Supply_',y) + name <- paste0('Summary_Supply_', y, '_17sch') S <- get(name) - write.csv(S,paste0("BEA_",name,".csv")) + write.csv(S,paste0("BEA_",name, ".csv")) - # name <- paste0('Summary_Use_SUT_',y) -# S <- get(name) - # write.csv(S,paste0("BEA_",name,".csv")) + name <- paste0('Summary_Use_SUT_', y, '_17sch') + S <- get(name) + write.csv(S,paste0("BEA_",name, ".csv")) } The original files are found here: -https://github.com/USEPA/useeior/blob/a89af7c5adff70ea743e4aab783cfa924a53c0bd/data/ +https://github.com/USEPA/useeior/tree/d6a8d0768c44fda6a431a458ab42b45edba8ef4c/data The metadata were manually copied from useeior/extdata/metadata --- --- The BEA_Detail_GrossOutput was pulled from -USEEIOR's Detail_GrossOutput_IO.rda on 09/06/2023. +USEEIOR's Detail_GrossOutput_IO_17sch.rda on 3/21/2024. The original file is found here: -https://github.com/USEPA/useeior/blob/master/data/Detail_GrossOutput_IO.rda +https://github.com/USEPA/useeior/blob/d6a8d0768c44fda6a431a458ab42b45edba8ef4c/data/Detail_GrossOutput_IO_17sch.rda csv obtained by running the following code in Rstudio: -bea <- get('Detail_GrossOutput_IO') -write.csv(bea, file='BEA_Detail_GrossOutput_IO.csv') +bea <- get('Detail_GrossOutput_IO_17sch') +write.csv(bea, file='BEA_Detail_GrossOutput_IO_17sch.csv') CSV manually added to flowsa From 8595c3ccc5fe7e0298f04db85af94063498b1cbf Mon Sep 17 00:00:00 2001 From: Ben Young Date: Thu, 21 Mar 2024 22:40:49 -0400 Subject: [PATCH 18/69] minor edits for new GO file --- flowsa/data_source_scripts/BEA.py | 4 ++-- .../flowbyactivitymethods/BEA_Detail_GrossOutput_IO.yaml | 4 +++- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/flowsa/data_source_scripts/BEA.py b/flowsa/data_source_scripts/BEA.py index e8419dd0d..42d87d4e6 100644 --- a/flowsa/data_source_scripts/BEA.py +++ b/flowsa/data_source_scripts/BEA.py @@ -32,8 +32,8 @@ def bea_parse(*, source, year, **_): filename = source.replace('_Use_', f'_Use_{year}_') elif 'Supply' in source: filename = f'{source}_{year}_17sch' - else: - filename = source + else: # GrossOutput_IO + filename = f'{source}_17sch' if int(year) >= 2017 else source df = pd.read_csv(externaldatapath / f"{filename}.csv") diff --git a/flowsa/methods/flowbyactivitymethods/BEA_Detail_GrossOutput_IO.yaml b/flowsa/methods/flowbyactivitymethods/BEA_Detail_GrossOutput_IO.yaml index 004a82a65..aa216e9e1 100644 --- a/flowsa/methods/flowbyactivitymethods/BEA_Detail_GrossOutput_IO.yaml +++ b/flowsa/methods/flowbyactivitymethods/BEA_Detail_GrossOutput_IO.yaml @@ -25,4 +25,6 @@ years: - 2017 - 2018 - 2019 - - 2020 \ No newline at end of file + - 2020 + - 2021 + - 2022 From 11298506d6f198fd5dc6420b503e4994e270e8bc Mon Sep 17 00:00:00 2001 From: Ben Young Date: Mon, 25 Mar 2024 09:13:32 -0400 Subject: [PATCH 19/69] drop testing for old GHG FBS methods --- tests/test_FBS_methods.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/tests/test_FBS_methods.py b/tests/test_FBS_methods.py index d019b6346..7ed596de2 100644 --- a/tests/test_FBS_methods.py +++ b/tests/test_FBS_methods.py @@ -17,11 +17,14 @@ def test_FBS_methods(): f"{method_status.get(m).get('Status', 'Unknown')}") continue elif any(s in m for s in ( + 'GHG_national_2012', 'GHG_national_2013', 'GHG_national_2014', 'GHG_national_2015', + 'GHG_national_2016', 'GHG_national_2018', 'GHG_national_2019', + 'GHG_national_2020', )): # Skip select methods to expedite testing continue From 5b2c0a7fc08191b664a12e6da17bff9dd1b6a8e5 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Mon, 25 Mar 2024 10:12:14 -0400 Subject: [PATCH 20/69] :bug: fix 4_102 -> 4_124 --- flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml | 4 ++-- 6 files changed, 12 insertions(+), 12 deletions(-) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml index 0b52d2d1a..17e1e6362 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml @@ -404,8 +404,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml index b8cf73bda..5eb3d1273 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml @@ -347,8 +347,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml index 703702935..78141e0d4 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml @@ -347,8 +347,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml index 29c39fcde..50c68f5ad 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml @@ -348,8 +348,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml index 6d64c22fd..8d9b19db6 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml @@ -348,8 +348,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml index 5c932b71b..a1b271b27 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml @@ -348,8 +348,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation From 3c87ee24915b100c884d25b3c2f15ef02ddca310 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Mon, 25 Mar 2024 14:17:43 -0400 Subject: [PATCH 21/69] update table numbers for 2012-2016 ghg models --- .../GHG_national_2012_m1.yaml | 64 ++++++++++--------- .../GHG_national_2012_m2.yaml | 52 +++++++-------- .../GHG_national_2013_m1.yaml | 64 ++++++++++--------- .../GHG_national_2013_m2.yaml | 52 +++++++-------- .../GHG_national_2014_m1.yaml | 64 ++++++++++--------- .../GHG_national_2014_m2.yaml | 52 +++++++-------- .../GHG_national_2015_m1.yaml | 64 +++++++++---------- .../GHG_national_2015_m2.yaml | 52 +++++++-------- .../GHG_national_2016_m1.yaml | 64 +++++++++---------- .../GHG_national_2016_m2.yaml | 52 +++++++-------- tests/test_FBS_methods.py | 1 - 11 files changed, 296 insertions(+), 285 deletions(-) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml index 6b9ad7f28..a1dedd363 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml @@ -1,7 +1,7 @@ # This is a 2012 target year specific implementation of GHG_national_m1 # This is a Summary level model # All parameters add year specific data when needed to implement for 2012 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2014 !include:GHG_national_m1_common.yaml @@ -79,24 +79,24 @@ source_names: selection_fields: ActivityProducedBy: {'325120': ''} # Industrial gases - "EPA_GHGI_T_3_68": #CH4 from Natural Gas Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_68 + "EPA_GHGI_T_3_73": #CH4 from Natural Gas Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - "EPA_GHGI_T_3_70": #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_70 + "EPA_GHGI_T_3_75": #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - "EPA_GHGI_T_3_72": #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_72 + "EPA_GHGI_T_3_77": #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - "EPA_GHGI_T_3_42": #CH4 from Petroleum Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - "EPA_GHGI_T_3_44": #CO2 from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_44": #CH4 from Petroleum Systems !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - "EPA_GHGI_T_3_46": #N2O from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_46": #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + "EPA_GHGI_T_3_48": #N2O from Petroleum Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year "EPA_GHGI_T_5_28": #CH4, N2O, CO and NOx from field burning of residues !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_28 year: *ghgi_year @@ -181,22 +181,22 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_46": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_46 + "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - "EPA_GHGI_T_4_50": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_50 + "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - "EPA_GHGI_T_4_96": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_96 + "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - "EPA_GHGI_T_4_102": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102 + "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants attribution_source: BEA_Detail_Use_PRO_BeforeRedef: <<: *bea @@ -204,7 +204,7 @@ source_names: ActivityProducedBy: {'333415': ''} # Air conditioning equipment air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning attribution_source: BEA_Detail_Use_PRO_BeforeRedef: <<: *bea @@ -212,7 +212,7 @@ source_names: ActivityProducedBy: {'333415': ''} # Air conditioning equipment foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams attribution_source: BEA_Detail_Use_PRO_BeforeRedef: <<: *bea @@ -222,16 +222,16 @@ source_names: '326150': '' # Urethane and other foam - "EPA_GHGI_T_A_97": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_97 + "EPA_GHGI_T_A_92": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_80": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_80 + "EPA_GHGI_T_4_100": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year - "EPA_GHGI_T_4_86": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_86 + "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 year: *ghgi_year - "EPA_GHGI_T_3_22b": #Fossil fuel for non-energy uses + "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year activity_sets: # Update EIA_MECS year for some activity_sets @@ -258,6 +258,8 @@ source_names: ### Major CO2 Sources "EPA_GHGI_T_A_13": # CO2 emissions from stationary combustion. This table number varies by GHG year. + # ^ this table is not available for this year in the latest GHGI release so this is sourced + # from the 2022 release !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year clean_parameter: *industrial_dict diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml index 230c82c5c..9b4c3a0bd 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml @@ -1,6 +1,6 @@ # This is a 2012 target year specific implementation of GHG_national_m2 # All parameters add year specific data when needed to implement for 2012 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2014 # CoA year is 2012 @@ -333,25 +333,25 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:lead:attribution_source:USGS_MYB_Lead year: *ghgi_year - EPA_GHGI_T_3_68: #CH4 from Natural Gas Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_68 + EPA_GHGI_T_3_73: #CH4 from Natural Gas Systems + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - EPA_GHGI_T_3_70: #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_70 + EPA_GHGI_T_3_75: #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - EPA_GHGI_T_3_72: #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_72 + EPA_GHGI_T_3_77: #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - EPA_GHGI_T_3_42: #CH4 from Petroleum Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - EPA_GHGI_T_3_44: #CO2 from Petroleum Systems mimics CH4 + EPA_GHGI_T_3_44: #CH4 from Petroleum Systems !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - EPA_GHGI_T_3_46: #N2O from Petroleum Systems, not in prior method, mimics CH4 + EPA_GHGI_T_3_46: #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + EPA_GHGI_T_3_48: #N2O from Petroleum Systems, not in prior method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year ## Agriculture EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues @@ -377,6 +377,8 @@ source_names: ## Stationary Combustion EPA_GHGI_T_A_13: + # ^ this table is not available for this year in the latest GHGI release so this is sourced + # from the 2022 release !include:GHG_national_m2_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year EPA_GHGI_T_3_8: # CH4 emissions from stationary combustion @@ -387,31 +389,31 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_46: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_46 + EPA_GHGI_T_4_53: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - EPA_GHGI_T_3_22b: # Fossil fuel for non-energy uses + EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses !include:GHG_national_m2_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_50: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_50 + EPA_GHGI_T_4_57: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - EPA_GHGI_T_4_96: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_96 + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year - EPA_GHGI_T_A_97: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_97 + EPA_GHGI_T_A_92: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_80: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_80 + EPA_GHGI_T_4_100: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml index a3a466d11..f3bc4053a 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml @@ -1,7 +1,7 @@ # This is a 2013 target year specific implementation of GHG_national_m1 # This is a Summary level model # All parameters add year specific data when needed to implement for 2013 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2014 !include:GHG_national_m1_common.yaml @@ -78,24 +78,24 @@ source_names: selection_fields: SectorProducedBy: {'32512': ''} # Industrial gases - "EPA_GHGI_T_3_68": #CH4 from Natural Gas Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_68 + "EPA_GHGI_T_3_73": #CH4 from Natural Gas Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - "EPA_GHGI_T_3_70": #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_70 + "EPA_GHGI_T_3_75": #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - "EPA_GHGI_T_3_72": #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_72 + "EPA_GHGI_T_3_77": #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - "EPA_GHGI_T_3_42": #CH4 from Petroleum Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - "EPA_GHGI_T_3_44": #CO2 from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_44": #CH4 from Petroleum Systems !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - "EPA_GHGI_T_3_46": #N2O from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_46": #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + "EPA_GHGI_T_3_48": #N2O from Petroleum Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year "EPA_GHGI_T_5_28": #CH4, N2O, CO and NOx from field burning of residues !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_28 year: *ghgi_year @@ -173,36 +173,36 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_46": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_46 + "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - "EPA_GHGI_T_4_50": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_50 + "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - "EPA_GHGI_T_4_96": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_96 + "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - "EPA_GHGI_T_4_102": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102 + "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants attribution_source: Detail_Use_2013: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning attribution_source: Detail_Use_2013: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams attribution_source: Detail_Use_2013: selection_fields: @@ -211,16 +211,16 @@ source_names: '32615': '' # Urethane and other foam - "EPA_GHGI_T_A_97": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_97 + "EPA_GHGI_T_A_92": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_80": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_80 + "EPA_GHGI_T_4_100": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year - "EPA_GHGI_T_4_86": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_86 + "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 year: *ghgi_year - "EPA_GHGI_T_3_22b": #Fossil fuel for non-energy uses + "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year activity_sets: # Update EIA_MECS year for some activity_sets @@ -246,6 +246,8 @@ source_names: ### Major CO2 Sources "EPA_GHGI_T_A_12": # CO2 emissions from stationary combustion. This table number varies by GHG year. + # ^ this table is not available for this year in the latest GHGI release so this is sourced + # from the 2022 release !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year clean_parameter: *industrial_dict diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml index 218ce8877..5241d8d12 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml @@ -1,6 +1,6 @@ # This is a 2013 target year specific implementation of GHG_national_m2 # All parameters add year specific data when needed to implement for 2013 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2014 # CoA year is 2012 @@ -308,25 +308,25 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:lead:attribution_source:USGS_MYB_Lead year: *ghgi_year - EPA_GHGI_T_3_68: #CH4 from Natural Gas Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_68 + EPA_GHGI_T_3_73: #CH4 from Natural Gas Systems + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - EPA_GHGI_T_3_70: #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_70 + EPA_GHGI_T_3_75: #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - EPA_GHGI_T_3_72: #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_72 + EPA_GHGI_T_3_77: #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - EPA_GHGI_T_3_42: #CH4 from Petroleum Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - EPA_GHGI_T_3_44: #CO2 from Petroleum Systems mimics CH4 + EPA_GHGI_T_3_44: #CH4 from Petroleum Systems !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - EPA_GHGI_T_3_46: #N2O from Petroleum Systems, not in prior method, mimics CH4 + EPA_GHGI_T_3_46: #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + EPA_GHGI_T_3_48: #N2O from Petroleum Systems, not in prior method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year ## Agriculture EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues @@ -352,6 +352,8 @@ source_names: ## Stationary Combustion EPA_GHGI_T_A_12: + # ^ this table is not available for this year in the latest GHGI release so this is sourced + # from the 2022 release !include:GHG_national_m2_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year EPA_GHGI_T_3_8: # CH4 emissions from stationary combustion @@ -362,31 +364,31 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_46: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_46 + EPA_GHGI_T_4_53: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - EPA_GHGI_T_3_22b: # Fossil fuel for non-energy uses + EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses !include:GHG_national_m2_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_50: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_50 + EPA_GHGI_T_4_57: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - EPA_GHGI_T_4_96: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_96 + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year - EPA_GHGI_T_A_97: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_97 + EPA_GHGI_T_A_92: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_80: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_80 + EPA_GHGI_T_4_100: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml index f9b7dc23a..3b59ed279 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml @@ -1,7 +1,7 @@ # This is a 2014 target year specific implementation of GHG_national_m1 # This is a Summary level model # All parameters add year specific data when needed to implement for 2014 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2014 !include:GHG_national_m1_common.yaml @@ -78,24 +78,24 @@ source_names: selection_fields: SectorProducedBy: {'32512': ''} # Industrial gases - "EPA_GHGI_T_3_68": #CH4 from Natural Gas Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_68 + "EPA_GHGI_T_3_73": #CH4 from Natural Gas Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - "EPA_GHGI_T_3_70": #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_70 + "EPA_GHGI_T_3_75": #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - "EPA_GHGI_T_3_72": #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_72 + "EPA_GHGI_T_3_77": #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - "EPA_GHGI_T_3_42": #CH4 from Petroleum Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - "EPA_GHGI_T_3_44": #CO2 from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_44": #CH4 from Petroleum Systems !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - "EPA_GHGI_T_3_46": #N2O from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_46": #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + "EPA_GHGI_T_3_48": #N2O from Petroleum Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year "EPA_GHGI_T_5_28": #CH4, N2O, CO and NOx from field burning of residues !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_28 year: *ghgi_year @@ -173,36 +173,36 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_46": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_46 + "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - "EPA_GHGI_T_4_50": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_50 + "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - "EPA_GHGI_T_4_96": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_96 + "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - "EPA_GHGI_T_4_102": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102 + "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants attribution_source: Detail_Use_2014: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning attribution_source: Detail_Use_2014: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams attribution_source: Detail_Use_2014: selection_fields: @@ -211,16 +211,16 @@ source_names: '32615': '' # Urethane and other foam - "EPA_GHGI_T_A_97": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_97 + "EPA_GHGI_T_A_92": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_80": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_80 + "EPA_GHGI_T_4_100": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year - "EPA_GHGI_T_4_86": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_86 + "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 year: *ghgi_year - "EPA_GHGI_T_3_22b": #Fossil fuel for non-energy uses + "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year activity_sets: # Update EIA_MECS year for some activity_sets @@ -246,6 +246,8 @@ source_names: ### Major CO2 Sources "EPA_GHGI_T_A_11": # CO2 emissions from stationary combustion. This table number varies by GHG year. + # ^ this table is not available for this year in the latest GHGI release so this is sourced + # from the 2022 release !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year clean_parameter: *industrial_dict diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml index 7a902418d..5471ddf23 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml @@ -1,6 +1,6 @@ # This is a 2014 target year specific implementation of GHG_national_m2 # All parameters add year specific data when needed to implement for 2014 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2014 # CoA year is 2012 @@ -308,25 +308,25 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:lead:attribution_source:USGS_MYB_Lead year: *ghgi_year - EPA_GHGI_T_3_68: #CH4 from Natural Gas Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_68 + EPA_GHGI_T_3_73: #CH4 from Natural Gas Systems + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - EPA_GHGI_T_3_70: #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_70 + EPA_GHGI_T_3_75: #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - EPA_GHGI_T_3_72: #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_72 + EPA_GHGI_T_3_77: #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - EPA_GHGI_T_3_42: #CH4 from Petroleum Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - EPA_GHGI_T_3_44: #CO2 from Petroleum Systems mimics CH4 + EPA_GHGI_T_3_44: #CH4 from Petroleum Systems !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - EPA_GHGI_T_3_46: #N2O from Petroleum Systems, not in prior method, mimics CH4 + EPA_GHGI_T_3_46: #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + EPA_GHGI_T_3_48: #N2O from Petroleum Systems, not in prior method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year ## Agriculture EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues @@ -352,6 +352,8 @@ source_names: ## Stationary Combustion EPA_GHGI_T_A_11: + # ^ this table is not available for this year in the latest GHGI release so this is sourced + # from the 2022 release !include:GHG_national_m2_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year EPA_GHGI_T_3_8: # CH4 emissions from stationary combustion @@ -362,31 +364,31 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_46: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_46 + EPA_GHGI_T_4_53: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - EPA_GHGI_T_3_22b: # Fossil fuel for non-energy uses + EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses !include:GHG_national_m2_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_50: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_50 + EPA_GHGI_T_4_57: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - EPA_GHGI_T_4_96: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_96 + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year - EPA_GHGI_T_A_97: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_97 + EPA_GHGI_T_A_92: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_80: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_80 + EPA_GHGI_T_4_100: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml index 7575db394..031c4803e 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml @@ -1,7 +1,7 @@ # This is a 2015 target year specific implementation of GHG_national_m1 # This is a Summary level model # All parameters add year specific data when needed to implement for 2015 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2014 !include:GHG_national_m1_common.yaml @@ -78,24 +78,24 @@ source_names: selection_fields: SectorProducedBy: {'32512': ''} # Industrial gases - "EPA_GHGI_T_3_68": #CH4 from Natural Gas Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_68 + "EPA_GHGI_T_3_73": #CH4 from Natural Gas Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - "EPA_GHGI_T_3_70": #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_70 + "EPA_GHGI_T_3_75": #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - "EPA_GHGI_T_3_72": #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_72 + "EPA_GHGI_T_3_77": #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - "EPA_GHGI_T_3_42": #CH4 from Petroleum Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - "EPA_GHGI_T_3_44": #CO2 from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_44": #CH4 from Petroleum Systems !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - "EPA_GHGI_T_3_46": #N2O from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_46": #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + "EPA_GHGI_T_3_48": #N2O from Petroleum Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year "EPA_GHGI_T_5_28": #CH4, N2O, CO and NOx from field burning of residues !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_28 year: *ghgi_year @@ -173,36 +173,36 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_46": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_46 + "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - "EPA_GHGI_T_4_50": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_50 + "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - "EPA_GHGI_T_4_96": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_96 + "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - "EPA_GHGI_T_4_102": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102 + "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants attribution_source: Detail_Use_2015: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning attribution_source: Detail_Use_2015: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams attribution_source: Detail_Use_2015: selection_fields: @@ -211,16 +211,16 @@ source_names: '32615': '' # Urethane and other foam - "EPA_GHGI_T_A_97": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_97 + "EPA_GHGI_T_A_92": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_80": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_80 + "EPA_GHGI_T_4_100": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year - "EPA_GHGI_T_4_86": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_86 + "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 year: *ghgi_year - "EPA_GHGI_T_3_22b": #Fossil fuel for non-energy uses + "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year activity_sets: # Update EIA_MECS year for some activity_sets @@ -245,7 +245,7 @@ source_names: SectorProducedBy: {'32411': ''} # use of petroleum products ### Major CO2 Sources - "EPA_GHGI_T_A_10": # CO2 emissions from stationary combustion. This table number varies by GHG year. + "EPA_GHGI_T_A_12": # CO2 emissions from stationary combustion. This table number varies by GHG year. !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year clean_parameter: *industrial_dict diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml index 38785c7f0..652e03971 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml @@ -1,6 +1,6 @@ # This is a 2015 target year specific implementation of GHG_national_m2 # All parameters add year specific data when needed to implement for 2015 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2014 # CoA year is 2017 @@ -290,25 +290,25 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:lead:attribution_source:USGS_MYB_Lead year: *ghgi_year - EPA_GHGI_T_3_68: #CH4 from Natural Gas Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_68 + EPA_GHGI_T_3_73: #CH4 from Natural Gas Systems + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - EPA_GHGI_T_3_70: #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_70 + EPA_GHGI_T_3_75: #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - EPA_GHGI_T_3_72: #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_72 + EPA_GHGI_T_3_77: #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - EPA_GHGI_T_3_42: #CH4 from Petroleum Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - EPA_GHGI_T_3_44: #CO2 from Petroleum Systems mimics CH4 + EPA_GHGI_T_3_44: #CH4 from Petroleum Systems !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - EPA_GHGI_T_3_46: #N2O from Petroleum Systems, not in prior method, mimics CH4 + EPA_GHGI_T_3_46: #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + EPA_GHGI_T_3_48: #N2O from Petroleum Systems, not in prior method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year ## Agriculture EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues @@ -333,7 +333,7 @@ source_names: year: *ghgi_year ## Stationary Combustion - EPA_GHGI_T_A_10: + EPA_GHGI_T_A_12: !include:GHG_national_m2_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year EPA_GHGI_T_3_8: # CH4 emissions from stationary combustion @@ -344,31 +344,31 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_46: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_46 + EPA_GHGI_T_4_53: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - EPA_GHGI_T_3_22b: # Fossil fuel for non-energy uses + EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses !include:GHG_national_m2_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_50: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_50 + EPA_GHGI_T_4_57: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - EPA_GHGI_T_4_96: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_96 + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year - EPA_GHGI_T_A_97: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_97 + EPA_GHGI_T_A_92: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_80: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_80 + EPA_GHGI_T_4_100: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml index 2d47f43bf..8aa5091f9 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml @@ -1,7 +1,7 @@ # This is a 2016 target year specific implementation of GHG_national_m1 # This is a Summary level model # All parameters add year specific data when needed to implement for 2016 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2018 !include:GHG_national_m1_common.yaml @@ -78,24 +78,24 @@ source_names: selection_fields: SectorProducedBy: {'32512': ''} # Industrial gases - "EPA_GHGI_T_3_68": #CH4 from Natural Gas Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_68 + "EPA_GHGI_T_3_73": #CH4 from Natural Gas Systems + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - "EPA_GHGI_T_3_70": #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_70 + "EPA_GHGI_T_3_75": #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - "EPA_GHGI_T_3_72": #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_72 + "EPA_GHGI_T_3_77": #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - "EPA_GHGI_T_3_42": #CH4 from Petroleum Systems - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - "EPA_GHGI_T_3_44": #CO2 from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_44": #CH4 from Petroleum Systems !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - "EPA_GHGI_T_3_46": #N2O from Petroleum Systems mimics CH4 + "EPA_GHGI_T_3_46": #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + "EPA_GHGI_T_3_48": #N2O from Petroleum Systems mimics CH4 + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year "EPA_GHGI_T_5_28": #CH4, N2O, CO and NOx from field burning of residues !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_5_28 year: *ghgi_year @@ -173,36 +173,36 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_46": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_46 + "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - "EPA_GHGI_T_4_50": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_50 + "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - "EPA_GHGI_T_4_96": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_96 + "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - "EPA_GHGI_T_4_102": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102 + "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants attribution_source: Detail_Use_2016: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning attribution_source: Detail_Use_2016: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_102:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams attribution_source: Detail_Use_2016: selection_fields: @@ -211,16 +211,16 @@ source_names: '32615': '' # Urethane and other foam - "EPA_GHGI_T_A_97": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_97 + "EPA_GHGI_T_A_92": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_80": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_80 + "EPA_GHGI_T_4_100": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year - "EPA_GHGI_T_4_86": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_86 + "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 year: *ghgi_year - "EPA_GHGI_T_3_22b": #Fossil fuel for non-energy uses + "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year activity_sets: # Update EIA_MECS year for some activity_sets @@ -245,7 +245,7 @@ source_names: SectorProducedBy: {'32411': ''} # use of petroleum products ### Major CO2 Sources - "EPA_GHGI_T_A_9": # CO2 emissions from stationary combustion. This table number varies by GHG year. + "EPA_GHGI_T_A_11": # CO2 emissions from stationary combustion. This table number varies by GHG year. !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year clean_parameter: *industrial_dict diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml index 2b8520869..c7c56b884 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml @@ -1,6 +1,6 @@ # This is a 2016 target year specific implementation of GHG_national_m2 # All parameters add year specific data when needed to implement for 2016 -# GHGI FBA table names match the 2022 GHGI Report +# GHGI FBA table names match the 2024 GHGI Report # MECS year is 2018 # CoA year is 2017 @@ -290,25 +290,25 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:lead:attribution_source:USGS_MYB_Lead year: *ghgi_year - EPA_GHGI_T_3_68: #CH4 from Natural Gas Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_68 + EPA_GHGI_T_3_73: #CH4 from Natural Gas Systems + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_73 year: *ghgi_year - EPA_GHGI_T_3_70: #CO2 from Natural Gas Systems mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_70 + EPA_GHGI_T_3_75: #CO2 from Natural Gas Systems mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_75 year: *ghgi_year - EPA_GHGI_T_3_72: #N2O from Natural Gas Systems, not used in original method, mimics CH4 - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_72 + EPA_GHGI_T_3_77: #N2O from Natural Gas Systems, not used in original method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_77 year: *ghgi_year - EPA_GHGI_T_3_42: #CH4 from Petroleum Systems - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_42 - year: *ghgi_year - EPA_GHGI_T_3_44: #CO2 from Petroleum Systems mimics CH4 + EPA_GHGI_T_3_44: #CH4 from Petroleum Systems !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_44 year: *ghgi_year - EPA_GHGI_T_3_46: #N2O from Petroleum Systems, not in prior method, mimics CH4 + EPA_GHGI_T_3_46: #CO2 from Petroleum Systems mimics CH4 !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_46 year: *ghgi_year + EPA_GHGI_T_3_48: #N2O from Petroleum Systems, not in prior method, mimics CH4 + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_3_48 + year: *ghgi_year ## Agriculture EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues @@ -333,7 +333,7 @@ source_names: year: *ghgi_year ## Stationary Combustion - EPA_GHGI_T_A_9: + EPA_GHGI_T_A_11: !include:GHG_national_m2_common.yaml:source_names:GHGI_CO2_stationary_combustion year: *ghgi_year EPA_GHGI_T_3_8: # CH4 emissions from stationary combustion @@ -344,31 +344,31 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_46: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_46 + EPA_GHGI_T_4_53: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 year: *ghgi_year - EPA_GHGI_T_3_22b: # Fossil fuel for non-energy uses + EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses !include:GHG_national_m2_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_50: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_50 + EPA_GHGI_T_4_57: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year - EPA_GHGI_T_4_96: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_96 + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year - EPA_GHGI_T_4_102: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_102 + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year - EPA_GHGI_T_A_97: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_97 + EPA_GHGI_T_A_92: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_80: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_80 + EPA_GHGI_T_4_100: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 year: *ghgi_year diff --git a/tests/test_FBS_methods.py b/tests/test_FBS_methods.py index 7ed596de2..4e9294d6f 100644 --- a/tests/test_FBS_methods.py +++ b/tests/test_FBS_methods.py @@ -17,7 +17,6 @@ def test_FBS_methods(): f"{method_status.get(m).get('Status', 'Unknown')}") continue elif any(s in m for s in ( - 'GHG_national_2012', 'GHG_national_2013', 'GHG_national_2014', 'GHG_national_2015', From 48f5c1b134c5c06fd5682041d8f02025b5c7947d Mon Sep 17 00:00:00 2001 From: ysrivas08 Date: Fri, 5 Apr 2024 12:47:55 -0400 Subject: [PATCH 22/69] Added footnotes for corrected name conversions --- flowsa/data_source_scripts/EPA_GHGI.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index c69269d12..3e21009fa 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -352,6 +352,24 @@ def strip_char(text): 'Natural gas': 'Natural Gas', # Fix capitalization inconsistency 'N2O (Semiconductors)': 'N2O', 'HGLb': 'HGL', + 'Biofuels-Biodieselh LPG' : 'Biofuels-Biodiesel LPG', + 'Biofuels-Ethanolh LPG' : 'Biofuels-Ethanol LPG', + 'Commercial Aircraftf Jet Fuel' : 'Commercial Aircraft Jet Fuel', + 'Distillate Fuel Oil' : 'Distillate Fuel Oil', + 'Electricityk LPG': 'Electricity LPG', + 'Gasolinea' : 'Gasoline', + 'International Bunker Fuelse' : 'International Bunker Fuel', + 'International Bunker Fuelse Jet Fuel' : 'International Bunker Fuel Jet Fuel', + 'International Bunker Fuelse Residual Fuel Oil' : 'International Bunker Fuel Residual Fuel Oil', + 'Medium- and Heavy-Duty Trucksb' : 'Medium- and Heavy-Duty Trucks', + 'Medium- and Heavy-Duty Trucksb LPG' : 'Medium- and Heavy-Duty Trucks LPG', + 'Pipelineg Natural Gas' : 'Pipeline Natural Gas', + 'Recreational Boatsc' :'Recreational Boats', + 'Construction/Mining Equipmentf Diesel On-Road' : 'Construction/Mining Equipment Diesel On-Road', + 'Non-Roadc Diesel On-Road' : 'Non-Road Diesel On-Road', + 'Construction/Mining Equipmentf Alternative Fuel On-Road' : 'Construction/Mining Equipment Alternative Fuel On-Road', + 'Non-Roadc Alternative Fuel On-Road' : 'Non-Road Alternative Fuel On-Road' + } for key in footnotes: text = text.replace(key, footnotes[key]) From 73eaeef2b8ac272863ac77dcabbd2abbf9459406 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Fri, 5 Apr 2024 12:50:34 -0400 Subject: [PATCH 23/69] formatting updated for `4-16`, `4-37`, `4-57`, `4-100`, no longer requires bespoke formatting --- flowsa/data_source_scripts/EPA_GHGI.py | 36 +++++++++---------- .../flowbyactivitymethods/EPA_GHGI.yaml | 8 ++--- 2 files changed, 22 insertions(+), 22 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index c69269d12..4cbc92e02 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -408,19 +408,19 @@ def ghg_parse(*, df_list, year, config, **_): df['Unit'] = name_unit['units'] df['Year'] = year - elif table_name in ['4-16', '4-37', '4-57', '4-100']: - # When Year is the first column in the table, need to make this correction - df = df.rename(columns={'ActivityProducedBy': 'Year', - 'Year': 'ActivityProducedBy'}) - # Melt on custom defined variable - melt_var = meta.get('melt_var') - if melt_var in id_vars: - id_vars.remove(melt_var) - elif 'ActivityProducedBy' not in df: - df["ActivityProducedBy"] = 'None' - id_vars.append('Year') - df = df.melt(id_vars=id_vars, var_name=melt_var, - value_name="FlowAmount") + # elif table_name in ['4-16', '4-37', '4-57', '4-100']: + # # When Year is the first column in the table, need to make this correction + # df = df.rename(columns={'ActivityProducedBy': 'Year', + # 'Year': 'ActivityProducedBy'}) + # # Melt on custom defined variable + # melt_var = meta.get('melt_var') + # if melt_var in id_vars: + # id_vars.remove(melt_var) + # elif 'ActivityProducedBy' not in df: + # df["ActivityProducedBy"] = 'None' + # id_vars.append('Year') + # df = df.melt(id_vars=id_vars, var_name=melt_var, + # value_name="FlowAmount") elif table_name in ANNEX_ENERGY_TABLES: df = df.melt(id_vars=id_vars, var_name="FlowName", @@ -677,11 +677,11 @@ def ghg_parse(*, df_list, year, config, **_): df = df[~df['FlowName'].str.contains("Total")] df.loc[:, 'ActivityProducedBy'] = meta.get('activity') - elif table_name in ["4-37", "4-57", "4-100"]: - # Table with units or flows as columns - df.loc[:, 'ActivityProducedBy'] = meta.get('activity') - df.loc[df['Unit'] == 'MMT CO2 Eq.', 'Unit'] = 'MMT CO2e' - df.loc[df['Unit'].str.contains('kt'), 'Unit'] = 'kt' + # elif table_name in ["4-37", "4-57", "4-100"]: + # # Table with units or flows as columns + # df.loc[:, 'ActivityProducedBy'] = meta.get('activity') + # df.loc[df['Unit'] == 'MMT CO2 Eq.', 'Unit'] = 'MMT CO2e' + # df.loc[df['Unit'].str.contains('kt'), 'Unit'] = 'kt' elif table_name in ["4-16", "4-124", "A-95"]: # Remove notes from activity names diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index 4db2a8b70..6194e7a02 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -171,28 +171,28 @@ Tables: "compartment": "air" "flow": "CO2" "desc": "Table 4-16: CO2 Emissions from Other Process Uses of Carbonates (MMT CO2 Eq.)" - "melt_var": "ActivityProducedBy" + # "melt_var": "ActivityProducedBy" "4-37": # Emissions captured in 2-1 "class": "Chemicals" "compartment": "air" "flow": "N2O" "activity": "Caprolactam Production" "desc": "Table 4-37: N2O Emissions from Caprolactam Production (MMT CO2 Eq. and kt N2O)" - "melt_var": "Unit" + # "melt_var": "Unit" "4-57": "class": "Chemicals" "compartment": "air" "flow": "HFC-23" "activity": "HCFC-22 Production" "desc": "Table 4-57: HFC-23 Emissions from HCFC-22 Production (MMT CO2 Eq. and kt HFC-23)" - "melt_var": "Unit" + # "melt_var": "Unit" "4-100": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "activity": "Aluminum Production" "desc": "Table 4-100: PFC Emissions from Aluminum Production (MMT CO2 Eq.)" - "melt_var": "FlowName" + # "melt_var": "FlowName" "4-53": "class": "Chemicals" From 48fd955b49086d2e76c62041a36fe7028696000c Mon Sep 17 00:00:00 2001 From: Ben Young Date: Fri, 5 Apr 2024 13:21:58 -0400 Subject: [PATCH 24/69] consolidate footnotes to fix errors in 3-13 --- flowsa/data_source_scripts/EPA_GHGI.py | 16 ++++++---------- 1 file changed, 6 insertions(+), 10 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index 03e90da5d..fa37c2588 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -297,7 +297,7 @@ def strip_char(text): text = text + " " notes = ["f, g", " a ", " b ", " c ", " d ", " e ", " f ", " g ", " h ", " i ", " j ", " k ", " l ", " b,c ", " h,i ", " f,g ", - ")b", ")f", ")k", "b,c", "h,i"] + ")a", ")b", ")f", ")k", "b,c", "h,i"] for i in notes: if i in text: text_split = text.split(i) @@ -352,18 +352,14 @@ def strip_char(text): 'Natural gas': 'Natural Gas', # Fix capitalization inconsistency 'N2O (Semiconductors)': 'N2O', 'HGLb': 'HGL', - 'Biofuels-Biodieselh LPG' : 'Biofuels-Biodiesel LPG', - 'Biofuels-Ethanolh LPG' : 'Biofuels-Ethanol LPG', - 'Commercial Aircraftf Jet Fuel' : 'Commercial Aircraft Jet Fuel', - 'Distillate Fuel Oil' : 'Distillate Fuel Oil', - 'Electricityk LPG': 'Electricity LPG', + 'Biofuels-Biodieselh' : 'Biofuels-Biodiesel', + 'Biofuels-Ethanolh' : 'Biofuels-Ethanol', + 'Commercial Aircraftf' : 'Commercial Aircraft', + 'Electricityk': 'Electricity', 'Gasolinea' : 'Gasoline', 'International Bunker Fuelse' : 'International Bunker Fuel', - 'International Bunker Fuelse Jet Fuel' : 'International Bunker Fuel Jet Fuel', - 'International Bunker Fuelse Residual Fuel Oil' : 'International Bunker Fuel Residual Fuel Oil', 'Medium- and Heavy-Duty Trucksb' : 'Medium- and Heavy-Duty Trucks', - 'Medium- and Heavy-Duty Trucksb LPG' : 'Medium- and Heavy-Duty Trucks LPG', - 'Pipelineg Natural Gas' : 'Pipeline Natural Gas', + 'Pipelineg' : 'Pipeline', 'Recreational Boatsc' :'Recreational Boats', 'Construction/Mining Equipmentf Diesel On-Road' : 'Construction/Mining Equipment Diesel On-Road', 'Non-Roadc Diesel On-Road' : 'Non-Road Diesel On-Road', From a2d973a96ab59c77e2f1d086d9957217c31431f2 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Fri, 5 Apr 2024 13:36:45 -0400 Subject: [PATCH 25/69] fix footnotes --- flowsa/data_source_scripts/EPA_GHGI.py | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index fa37c2588..972cd1de2 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -361,11 +361,8 @@ def strip_char(text): 'Medium- and Heavy-Duty Trucksb' : 'Medium- and Heavy-Duty Trucks', 'Pipelineg' : 'Pipeline', 'Recreational Boatsc' :'Recreational Boats', - 'Construction/Mining Equipmentf Diesel On-Road' : 'Construction/Mining Equipment Diesel On-Road', - 'Non-Roadc Diesel On-Road' : 'Non-Road Diesel On-Road', - 'Construction/Mining Equipmentf Alternative Fuel On-Road' : 'Construction/Mining Equipment Alternative Fuel On-Road', - 'Non-Roadc Alternative Fuel On-Road' : 'Non-Road Alternative Fuel On-Road' - + 'Construction/Mining Equipmentf' : 'Construction/Mining Equipment', + 'Non-Roadc' : 'Non-Road', } for key in footnotes: text = text.replace(key, footnotes[key]) From 5859c85a79c16bb761224d766ad091c4dab8789e Mon Sep 17 00:00:00 2001 From: Ben Young Date: Fri, 5 Apr 2024 14:27:06 -0400 Subject: [PATCH 26/69] minor fixes to units --- flowsa/data_source_scripts/EPA_GHGI.py | 2 +- flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index 972cd1de2..df970075a 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -681,7 +681,7 @@ def ghg_parse(*, df_list, year, config, **_): df.loc[:, 'FlowType'] = 'TECHNOSPHERE_FLOW' df.loc[:, 'FlowName'] = df.loc[:, 'ActivityProducedBy'] - elif table_name in ["4-106", "4-118", "4-122"]: + elif table_name in ["4-100", "4-106", "4-118", "4-122"]: # Table with flow names as Rows df.loc[:, 'FlowName'] = (df.loc[:, 'ActivityProducedBy'] .apply(lambda x: strip_char(x))) diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index 6194e7a02..22fa40fe1 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -177,15 +177,15 @@ Tables: "compartment": "air" "flow": "N2O" "activity": "Caprolactam Production" - "desc": "Table 4-37: N2O Emissions from Caprolactam Production (MMT CO2 Eq. and kt N2O)" - # "melt_var": "Unit" + "desc": "Table 4-37: N2O Emissions from Caprolactam Production (MMT CO2 Eq.)" + "unit": "MMT CO2e" "4-57": "class": "Chemicals" "compartment": "air" "flow": "HFC-23" "activity": "HCFC-22 Production" - "desc": "Table 4-57: HFC-23 Emissions from HCFC-22 Production (MMT CO2 Eq. and kt HFC-23)" - # "melt_var": "Unit" + "desc": "Table 4-57: HFC-23 Emissions from HCFC-22 Production (MMT CO2 Eq.)" + "unit": "MMT CO2e" "4-100": "class": "Chemicals" "unit": "MMT CO2e" From 730ae22724fba004697569d802c806699378cf9d Mon Sep 17 00:00:00 2001 From: Ben Young Date: Fri, 5 Apr 2024 16:39:26 -0400 Subject: [PATCH 27/69] fix error with missing rows in some appendix tables --- flowsa/data_source_scripts/EPA_GHGI.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index df970075a..b92c1889e 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -120,7 +120,8 @@ def series_separate_name_and_units(series, default_flow_name, default_units): def annex_yearly_tables(data, table=None): """Special handling of ANNEX Energy Tables""" - df = pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", + skiprows=0 if table in ("A-9", "A-10") else 1 + df = pd.read_csv(data, skiprows=skiprows, encoding="ISO-8859-1", header=[0, 1], thousands=",") if table == "A-4": # Table "Energy Consumption Data by Fuel Type (TBtu) and Adjusted From f32ff37b145fbf18b7ebff12b07e6b6b6b54977b Mon Sep 17 00:00:00 2001 From: Ben Young Date: Fri, 5 Apr 2024 16:42:00 -0400 Subject: [PATCH 28/69] fix error reading in new 3_24 table --- flowsa/data_source_scripts/EPA_GHGI.py | 18 +++++++----------- 1 file changed, 7 insertions(+), 11 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index b92c1889e..584f3e892 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -216,24 +216,20 @@ def ghg_call(*, resp, url, year, config, **_): thousands=",", decimal=".") df = df.rename(columns={'2010a':'2010'}) ## Check year 2010 elif table == "3-24": - # Skip first two rows, as usual, but make headers the next 3 rows: - df = pd.read_csv(data, skiprows=2, encoding="ISO-8859-1", - header=[0, 1, 2], thousands=",") - # The next two rows are headers and the third is units: + # Skip first row, but make headers the next 2 rows: + df = pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", + header=[0, 1], thousands=",") + # Row 0 is header, row 1 is unit new_headers = [] for col in df.columns: - # unit = col[2] new_header = 'Unnamed: 0' if 'Unnamed' not in col[0]: if 'Unnamed' not in col[1]: new_header = f'{col[0]} {col[1]}' else: new_header = col[0] - if 'Unnamed' not in col[2]: - new_header += f' {col[2]}' - # unit = col[2] - elif 'Unnamed' in col[0] and 'Unnamed' not in col[2]: - new_header = col[2] + else: + new_header = col[1] new_headers.append(new_header) df.columns = new_headers elif table in ANNEX_ENERGY_TABLES: @@ -557,7 +553,7 @@ def ghg_parse(*, df_list, year, config, **_): for index, row in df.iterrows(): unit = row["Unit"] if unit.strip() == "MMT CO2": - df.loc[index, 'Unit'] = "MMT CO2e" + df.loc[index, 'Unit'] = "MMT CO2e" if df.loc[index, 'Unit'] != "MMT CO2e": df = df.drop(index) else: From 3022ac7b9fc04cc40a8df556eb2985682654d922 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Fri, 5 Apr 2024 17:41:56 -0400 Subject: [PATCH 29/69] update some activity names --- .../activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv | 1 + .../methods/flowbysectormethods/GHG_national_m1_common.yaml | 5 ++++- 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv index 79c5272be..3a0b12b4d 100644 --- a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv +++ b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv @@ -34,6 +34,7 @@ EPA_GHGI,N2O from Product Uses,NAICS_2012_Code,623,,,EPA_GHGI_T_2_1 EPA_GHGI,"Caprolactam, Glyoxal, and Glyoxylic Acid Production",NAICS_2012_Code,32519,,325190,EPA_GHGI_T_2_1 EPA_GHGI,Electronics Industry,NAICS_2012_Code,334413,,"334413, name change from Semiconductor Manufacture",EPA_GHGI_T_2_1 EPA_GHGI,Electrical Transmission and Distribution,NAICS_2012_Code,2211,,221100,EPA_GHGI_T_2_1 +EPA_GHGI,Electrical Equipment,NAICS_2012_Code,2211,,new activity,EPA_GHGI_T_2_1 EPA_GHGI,Electric Power,NAICS_2012_Code,2211,,"Commodity: 221100 (or I: 221100, S00101, S00202)",EPA_GHGI_T_2_1 EPA_GHGI,Electric Power,NAICS_2012_Code,S00101,,,EPA_GHGI_T_2_1 EPA_GHGI,Electric Power,NAICS_2012_Code,S00202,,,EPA_GHGI_T_2_1 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml index 9493375f0..3715c9680 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml @@ -86,7 +86,9 @@ source_names: electricity_transmission: selection_fields: - PrimaryActivity: Electrical Transmission and Distribution #SF6 + PrimaryActivity: + - Electrical Transmission and Distribution #SF6 + - Electrical Equipment # updated name for this activity in 2024 release FlowName: SF6 attribution_method: direct @@ -277,6 +279,7 @@ source_names: Ships and Non-Recreational Boats Residual Fuel Oil: Ships and Non-Recreational Boats Medium- and Heavy-Duty Trucks Gasoline: Medium- and Heavy-Duty Trucks Medium- and Heavy-Duty Trucks LPG: Medium- and Heavy-Duty Trucks + Medium- and Heavy-Duty Trucks Natural Gas: Medium- and Heavy-Duty Trucks Light-Duty Trucks LPG: Light-Duty Trucks - Households Passenger Cars LPG: Passenger Cars - Households attribution_method: direct From dcea0379e726ad529f7cc0e9df9cf45abcdb301b Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sat, 6 Apr 2024 14:17:22 -0400 Subject: [PATCH 30/69] update NAICS crosswalks from script --- flowsa/data/NAICS_2012_Crosswalk.csv | 10 +++++++++- flowsa/data/NAICS_2017_Crosswalk.csv | 10 +++++++++- flowsa/data/NAICS_Crosswalk_TimeSeries.csv | 9 +++++++++ 3 files changed, 27 insertions(+), 2 deletions(-) diff --git a/flowsa/data/NAICS_2012_Crosswalk.csv b/flowsa/data/NAICS_2012_Crosswalk.csv index d6611b67b..5652cda8e 100644 --- a/flowsa/data/NAICS_2012_Crosswalk.csv +++ b/flowsa/data/NAICS_2012_Crosswalk.csv @@ -96,6 +96,13 @@ NAICS_2,NAICS_3,NAICS_4,NAICS_5,NAICS_6,NAICS_7 11,111,1119,11199,111998,111998K 11,111,1119,11199,111998,111998L 11,111,1119,11199,111998,111998M +11,111,1119,11199,111998,111998N +11,111,1119,11199,111998,111998O +11,111,1119,11199,111998,111998P +11,111,1119,11199,111998,111998Q +11,111,1119,11199,111998,111998R +11,111,1119,11199,111998,111998S +11,111,1119,11199,111998,111998T 11,112,1121,11211,112111, 11,112,1121,11211,112112, 11,112,1121,11212,112120, @@ -121,7 +128,8 @@ NAICS_2,NAICS_3,NAICS_4,NAICS_5,NAICS_6,NAICS_7 11,112,1123,11239,112390,112390L 11,112,1123,11239,112390,112390M 11,112,1123,11239,112390,112390N -11,112,1124,11241,112410, +11,112,1124,11241,112410,112410A +11,112,1124,11241,112410,112410B 11,112,1124,11242,112420, 11,112,1125,11251,112511, 11,112,1125,11251,112512, diff --git a/flowsa/data/NAICS_2017_Crosswalk.csv b/flowsa/data/NAICS_2017_Crosswalk.csv index 5b9c4cafe..e68886548 100644 --- a/flowsa/data/NAICS_2017_Crosswalk.csv +++ b/flowsa/data/NAICS_2017_Crosswalk.csv @@ -96,6 +96,13 @@ NAICS_2,NAICS_3,NAICS_4,NAICS_5,NAICS_6,NAICS_7 11,111,1119,11199,111998,111998K 11,111,1119,11199,111998,111998L 11,111,1119,11199,111998,111998M +11,111,1119,11199,111998,111998N +11,111,1119,11199,111998,111998O +11,111,1119,11199,111998,111998P +11,111,1119,11199,111998,111998Q +11,111,1119,11199,111998,111998R +11,111,1119,11199,111998,111998S +11,111,1119,11199,111998,111998T 11,112,1121,11211,112111, 11,112,1121,11211,112112, 11,112,1121,11212,112120, @@ -121,7 +128,8 @@ NAICS_2,NAICS_3,NAICS_4,NAICS_5,NAICS_6,NAICS_7 11,112,1123,11239,112390,112390L 11,112,1123,11239,112390,112390M 11,112,1123,11239,112390,112390N -11,112,1124,11241,112410, +11,112,1124,11241,112410,112410A +11,112,1124,11241,112410,112410B 11,112,1124,11242,112420, 11,112,1125,11251,112511, 11,112,1125,11251,112512, diff --git a/flowsa/data/NAICS_Crosswalk_TimeSeries.csv b/flowsa/data/NAICS_Crosswalk_TimeSeries.csv index a10ab81f3..e1437972e 100644 --- a/flowsa/data/NAICS_Crosswalk_TimeSeries.csv +++ b/flowsa/data/NAICS_Crosswalk_TimeSeries.csv @@ -133,6 +133,13 @@ NAICS_2002_Code,NAICS_2007_Code,NAICS_2012_Code,NAICS_2017_Code ,,111998K,111998K ,,111998L,111998L ,,111998M,111998M +,,111998N,111998N +,,111998O,111998O +,,111998P,111998P +,,111998Q,111998Q +,,111998R,111998R +,,111998S,111998S +,,111998T,111998T ,112,112,112 ,1121,1121,1121 ,11211,11211,11211 @@ -177,6 +184,8 @@ NAICS_2002_Code,NAICS_2007_Code,NAICS_2012_Code,NAICS_2017_Code ,1124,1124,1124 ,11241,11241,11241 112410,112410,112410,112410 +,,112410A,112410A +,,112410B,112410B ,11242,11242,11242 112420,112420,112420,112420 ,1125,1125,1125 From dc615a557f328d1cfeb01cbbed365033d91afc09 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sat, 6 Apr 2024 14:18:23 -0400 Subject: [PATCH 31/69] fix footnotes in flows for 4-122 --- flowsa/data_source_scripts/EPA_GHGI.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index 584f3e892..9bb44955a 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -360,6 +360,8 @@ def strip_char(text): 'Recreational Boatsc' :'Recreational Boats', 'Construction/Mining Equipmentf' : 'Construction/Mining Equipment', 'Non-Roadc' : 'Non-Road', + 'HFCsa': 'HFCs', + 'HFOsb': 'HFOs', } for key in footnotes: text = text.replace(key, footnotes[key]) From 66bdc84684b7afebf4478f98e3b37b064318f819 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sat, 6 Apr 2024 15:15:59 -0400 Subject: [PATCH 32/69] update to use fedefl mapping file aligned with AR5-100 yr GWPs --- .../GHG_national_m1_common.yaml | 38 +++++++++---------- .../GHG_national_m2_common.yaml | 12 +++--- 2 files changed, 25 insertions(+), 25 deletions(-) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml index 3715c9680..37e74b113 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml @@ -52,7 +52,7 @@ _sources_to_cache: source_names: EPA_GHGI_T_2_1: #U.S. GHG emissions # year: # override this - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: direct: selection_fields: @@ -157,7 +157,7 @@ source_names: ## Fossil Fuels EPA_GHGI_T_3_73: &natgas #CH4 from Natural Gas Systems # year: # override this - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 selection_fields: PrimaryActivity: - Distribution @@ -172,7 +172,7 @@ source_names: EPA_GHGI_T_3_44: &petroleum #CH4 from Petroleum Systems # year: # override this - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 selection_fields: PrimaryActivity: - Crude Oil Transportation @@ -188,7 +188,7 @@ source_names: ## Agriculture EPA_GHGI_T_5_28: #CH4, N2O, CO and NOx from field burning of residues # year: # override this - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 selection_fields: PrimaryActivity: - Chickpeas @@ -200,7 +200,7 @@ source_names: attribution_method: direct EPA_GHGI_T_5_3: &animals #CH4 from Enteric Fermentation # year: # override this - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 selection_fields: PrimaryActivity: - American Bison @@ -217,7 +217,7 @@ source_names: EPA_GHGI_T_5_17: #Direct N2O emissions from agricultural soils # year: # override this - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: fertilizer_use: selection_fields: @@ -243,7 +243,7 @@ source_names: EPA_GHGI_T_5_18: #Indirect N2O emissions from agricultural soils # year: # override this - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: fertilizer_use: selection_fields: @@ -260,7 +260,7 @@ source_names: ## Mobile Sources EPA_GHGI_T_3_13: #CO2 from mobile combustion - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: direct_petroleum: selection_fields: @@ -306,7 +306,7 @@ source_names: SectorProducedBy: {'32411': ''} # purchases of refinery products (324110) EPA_GHGI_T_3_14: &mobile #CH4 from mobile combustion - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: direct_gasoline: # empty in some years (<0.05 MMT CO2eq) selection_fields: @@ -389,7 +389,7 @@ source_names: ## Stationary Combustion GHGI_CO2_stationary_combustion: # CO2 emissions from stationary combustion - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 # year: # override this clean_fba_before_activity_sets: !script_function:EPA_GHGI allocate_industrial_combustion clean_parameter: # Override each year for use in allocate_industrial_combustion @@ -479,7 +479,7 @@ source_names: energy_fba: 'EIA_MECS_Energy' year: *mecs_year ghg_fba: 'EPA_GHGI_T_A_9' # 2018 Table - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: residential: selection_fields: @@ -578,7 +578,7 @@ source_names: ## Other sources EPA_GHGI_T_4_53: #CO2 for selected petrochemicals # year: # override with ghgi_year - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 selection_fields: PrimaryActivity: - Acrylonitrile @@ -591,7 +591,7 @@ source_names: GHGI_nonenergy_fossil_fuel_emissions: # Fossil fuel for non-energy uses # year: #override with ghgi_year - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: coal: selection_fields: @@ -663,7 +663,7 @@ source_names: ## Other Emissions EPA_GHGI_T_4_57: # HFCs from HCFC-22 production # year: # override with ghgi_year - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 selection_fields: Unit: MMT CO2e # drop records in kt PrimaryActivity: HCFC-22 Production @@ -671,7 +671,7 @@ source_names: EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture # year: # override with ghgi_year - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 selection_fields: PrimaryActivity: Electronics Production attribution_method: direct @@ -682,7 +682,7 @@ source_names: # Proportions of specific HFCs are assigned based on national total flow_fba: EPA_GHGI_T_4_122 # year: # override with ghgi_year - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: households: selection_fields: @@ -731,7 +731,7 @@ source_names: clean_parameter: # Proportions of specific HFCs are assigned based on national total flow_fba: EPA_GHGI_T_4_122 - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 selection_fields: PrimaryActivity: Mobile AC - Passenger Cars: Passenger Cars - Households @@ -748,7 +748,7 @@ source_names: EPA_GHGI_T_4_100: # PFCs from aluminum production # year: # override with ghgi_year - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 selection_fields: PrimaryActivity: Aluminum Production attribution_method: direct @@ -756,7 +756,7 @@ source_names: EPA_GHGI_T_4_106: # HFCs, SF6, CO2 from magnesium production # year: # override with ghgi_year - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 selection_fields: PrimaryActivity: Magnesium Production and Processing attribution_method: direct diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml index a78e9c318..afff3dd82 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml @@ -502,7 +502,7 @@ source_names: ## For tables requiring direct attribution, reattribute the original GHGI EPA_GHGI_T_2_1: #U.S. GHG emissions # year: # override this - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: direct: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:direct @@ -549,7 +549,7 @@ source_names: ## Mobile Sources EPA_GHGI_T_3_13: #CO2 from mobile combustion - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: direct_petroleum: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_13:activity_sets:direct_petroleum @@ -557,7 +557,7 @@ source_names: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_13:activity_sets:direct_ng EPA_GHGI_T_3_14: &mobile #CH4 from mobile combustion - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: direct_gasoline: # empty in some years (<0.05 MMT CO2eq) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:direct_gasoline @@ -569,13 +569,13 @@ source_names: ## Stationary Combustion GHGI_CO2_stationary_combustion: # CO2 emissions from stationary combustion - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: direct_attribution: #direct allocation !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:direct_attribution EPA_GHGI_T_3_8: &stationary_combustion # CH4 emissions from stationary combustion - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: residential: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:residential @@ -587,7 +587,7 @@ source_names: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 GHGI_nonenergy_fossil_fuel_emissions: # Fossil fuel for non-energy uses - fedefl_mapping: GHGI + fedefl_mapping: GHGI_AR5_100 activity_sets: coal: !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:coal From e3dfcd2d5b7cc207f2ea885d17c125031d9b2c85 Mon Sep 17 00:00:00 2001 From: ysrivas08 Date: Thu, 11 Apr 2024 10:52:47 -0400 Subject: [PATCH 33/69] Added missing table numbers in description --- .../flowbyactivitymethods/EPA_GHGI.yaml | 35 +++++++++++++------ 1 file changed, 24 insertions(+), 11 deletions(-) diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index 4db2a8b70..5f796de94 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -54,12 +54,14 @@ Tables: "compartment": "air" "flow": "CO2" "desc": "Table 3-7: CO2 Emissions from Stationary Fossil Fuel Combustion (MMT CO2 Eq.)" + "3-8": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CH4" "desc": "Table 3-8: CH4 Emissions from Stationary Combustion (MMT CO2 Eq.)" + "3-9": "class": "Chemicals" "unit": "MMT CO2e" @@ -80,12 +82,14 @@ Tables: "compartment": "air" "flow": "CO2" "desc": "Table 3-13: CO2 Emissions from Fossil Fuel Combustion in Transportation End-Use Sector" + "3-14": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CH4" "desc": "Table 3-14: CH4 Emissions from Mobile Combustion (MMT CO2 Eq.)" + "3-15": "class": "Chemicals" "unit": "MMT CO2e" @@ -115,7 +119,7 @@ Tables: "unit": "MMT CO2e" "compartment": "air" "flow": "CO2" - "desc": "CO2 Emissions from Wood Consumption by End-Use Sector (MMT CO2 Eq.)" + "desc": "Table 3-120: CO2 Emissions from Wood Consumption by End-Use Sector (MMT CO2 Eq.)" # Petroleum Systems "3-44": @@ -124,12 +128,14 @@ Tables: "compartment": "air" "flow": "CH4" "desc": "Table 3-44: CH4 Emissions from Petroleum Systems (MMT CO2 Eq.)" + "3-46": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2" "desc": "Table 3-46: CO2 Emissions from Petroleum Systems (MMT CO2)" + "3-48": "class": "Chemicals" "unit": "MT CO2e" @@ -144,12 +150,14 @@ Tables: "compartment": "air" "flow": "CH4" "desc": "Table 3-73: CH4 Emissions from Natural Gas Systems (MMT CO2 Eq.)a" + "3-75": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2" "desc": "Table 3-75: Non-combustion CO2 Emissions from Natural Gas Systems (MMT)" + "3-77": "class": "Chemicals" "unit": "MT CO2e" @@ -172,6 +180,7 @@ Tables: "flow": "CO2" "desc": "Table 4-16: CO2 Emissions from Other Process Uses of Carbonates (MMT CO2 Eq.)" "melt_var": "ActivityProducedBy" + "4-37": # Emissions captured in 2-1 "class": "Chemicals" "compartment": "air" @@ -179,6 +188,7 @@ Tables: "activity": "Caprolactam Production" "desc": "Table 4-37: N2O Emissions from Caprolactam Production (MMT CO2 Eq. and kt N2O)" "melt_var": "Unit" + "4-57": "class": "Chemicals" "compartment": "air" @@ -186,6 +196,7 @@ Tables: "activity": "HCFC-22 Production" "desc": "Table 4-57: HFC-23 Emissions from HCFC-22 Production (MMT CO2 Eq. and kt HFC-23)" "melt_var": "Unit" + "4-100": "class": "Chemicals" "unit": "MMT CO2e" @@ -221,6 +232,7 @@ Tables: "flow": "CO2e" "activity": "Electronics Production" "desc": "Table 4-118: PFC, HFC, SF6, NF3, and N2O Emissions from Electronics Manufacture (MMT CO2 Eq.)" + "4-122": # Used to speciate HFC emissions in 4-124 "class": "Chemicals" "unit": "MMT CO2e" @@ -303,9 +315,10 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2022 Energy Consumption Data and CO2 Emissions from + Table A-5: 2022 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2022" + "A-6": # Separate emissions table for each year "class": "Energy" "unit": "TBtu" @@ -314,7 +327,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2021 Energy Consumption Data and CO2 Emissions from + Table A-6: 2021 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2021" "A-7": # Separate emissions table for each year @@ -325,7 +338,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2020 Energy Consumption Data and CO2 Emissions from + Table A-7: 2020 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2020" "A-8": # Separate emissions table for each year @@ -336,7 +349,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2019 Energy Consumption Data and CO2 Emissions from + Table A-8: 2019 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2019" "A-9": # Separate emissions table for each year @@ -347,7 +360,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2018 Energy Consumption Data and CO2 Emissions from + Table A-9: 2018 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type" "year": "2018" "A-10": # Separate emissions table for each year @@ -358,7 +371,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2017 Energy Consumption Data and CO2 Emissions from + Table A-10: 2017 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2017" "A-11": # Separate emissions table for each year @@ -369,7 +382,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2016 Energy Consumption Data and CO2 Emissions from + Table A-11: 2016 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2016" "A-12": # Separate emissions table for each year @@ -380,7 +393,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2015 Energy Consumption Data and CO2 Emissions from " + Table A-12: 2015 Energy Consumption Data and CO2 Emissions from " Fossil Fuel Combustion by Fuel Type" "year": "2015" @@ -445,7 +458,7 @@ Annex: "class": "Energy" "unit": "million gallons" "activity": "Fuel Consumption" - "desc": "Fuel Consumption by Fuel and Vehicle Type (million gallons unless otherwise specified)" + "desc": "Table A-71: Fuel Consumption by Fuel and Vehicle Type (million gallons unless otherwise specified)" #"A-70": # Not a primary emissions datasource # "class": "Chemicals" @@ -471,4 +484,4 @@ Annex: "unit": "MMT CO2e" "compartment": "air" "flow": "HFCs" - "desc": "HFC Emissions from Transportation Sources (MMT CO2 Eq.)" + "desc": "Table A-92: HFC Emissions from Transportation Sources (MMT CO2 Eq.)" From eabc4e90f3f49db0e99e668395e7ffb855ff27ee Mon Sep 17 00:00:00 2001 From: ysrivas08 Date: Thu, 11 Apr 2024 11:13:23 -0400 Subject: [PATCH 34/69] Added missing table numbers for descriptions --- .../flowbyactivitymethods/EPA_GHGI.yaml | 43 ++++++++++--------- 1 file changed, 23 insertions(+), 20 deletions(-) diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index 5f796de94..c1c9d2f13 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -179,31 +179,31 @@ Tables: "compartment": "air" "flow": "CO2" "desc": "Table 4-16: CO2 Emissions from Other Process Uses of Carbonates (MMT CO2 Eq.)" - "melt_var": "ActivityProducedBy" - + # "melt_var": "ActivityProducedBy" + "4-37": # Emissions captured in 2-1 "class": "Chemicals" "compartment": "air" "flow": "N2O" - "activity": "Caprolactam Production" - "desc": "Table 4-37: N2O Emissions from Caprolactam Production (MMT CO2 Eq. and kt N2O)" - "melt_var": "Unit" - + "activity": "Caprolactam Production" + "desc": "Table 4-37: N2O Emissions from Caprolactam Production (MMT CO2 Eq.)" + "unit": "MMT CO2e" + "4-57": "class": "Chemicals" "compartment": "air" "flow": "HFC-23" "activity": "HCFC-22 Production" - "desc": "Table 4-57: HFC-23 Emissions from HCFC-22 Production (MMT CO2 Eq. and kt HFC-23)" - "melt_var": "Unit" - + "desc": "Table 4-57: HFC-23 Emissions from HCFC-22 Production (MMT CO2 Eq.)" + "unit": "MMT CO2e" + "4-100": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "activity": "Aluminum Production" "desc": "Table 4-100: PFC Emissions from Aluminum Production (MMT CO2 Eq.)" - "melt_var": "FlowName" + # "melt_var": "FlowName" "4-53": "class": "Chemicals" @@ -225,6 +225,7 @@ Tables: "flow": "CO2e" "activity": "Magnesium Production and Processing" "desc": "Table 4-106: SF6, HFC-134a, FK 5-1-12 and CO2 Emissions from Magnesium Production and Processing (MMT CO2 Eq.)" + "4-118": "class": "Chemicals" "unit": "MMT CO2e" @@ -255,6 +256,7 @@ Tables: "compartment": "air" "flow": "CH4" "desc": "Table 5-3: CH4 Emissions from Enteric Fermentation (MMT CO2 Eq.)" + "5-6": "class": "Chemicals" "unit": "MMT CO2e" @@ -268,6 +270,7 @@ Tables: "compartment": "air" "flow": "N2O" "desc": "Table 5-17: Direct N2O Emissions from Agricultural Soils by Land Use Type and N Input Type (MMT CO2 Eq.)" + "5-18": "class": "Chemicals" "unit": "MMT CO2e" @@ -315,7 +318,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - Table A-5: 2022 Energy Consumption Data and CO2 Emissions from + Table A-5 2022 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2022" @@ -327,7 +330,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - Table A-6: 2021 Energy Consumption Data and CO2 Emissions from + Table A-6 2021 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2021" "A-7": # Separate emissions table for each year @@ -338,7 +341,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - Table A-7: 2020 Energy Consumption Data and CO2 Emissions from + Table A-7 2020 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2020" "A-8": # Separate emissions table for each year @@ -349,7 +352,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - Table A-8: 2019 Energy Consumption Data and CO2 Emissions from + Table A-8 2019 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2019" "A-9": # Separate emissions table for each year @@ -360,8 +363,8 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - Table A-9: 2018 Energy Consumption Data and CO2 Emissions from - Fossil Fuel Combustion by Fuel Type" + Table A-9 2018 Energy Consumption Data and CO2 Emissions from + Fossil Fuel Combustion by Fuel Type "year": "2018" "A-10": # Separate emissions table for each year "class": "Energy" @@ -371,7 +374,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - Table A-10: 2017 Energy Consumption Data and CO2 Emissions from + Table A-10 2017 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2017" "A-11": # Separate emissions table for each year @@ -382,7 +385,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - Table A-11: 2016 Energy Consumption Data and CO2 Emissions from + Table A-11 2016 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2016" "A-12": # Separate emissions table for each year @@ -393,8 +396,8 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - Table A-12: 2015 Energy Consumption Data and CO2 Emissions from " - Fossil Fuel Combustion by Fuel Type" + Table A-12 2015 Energy Consumption Data and CO2 Emissions from + Fossil Fuel Combustion by Fuel Type "year": "2015" #"A-11": # Separate emissions table for each year From 5d58610ed8e7ef44a86d3f5c8b749407350c65ca Mon Sep 17 00:00:00 2001 From: ysrivas08 Date: Thu, 11 Apr 2024 13:03:30 -0400 Subject: [PATCH 35/69] Added missing table numbers for 'desc' --- .../flowbyactivitymethods/EPA_GHGI.yaml | 24 +++++++++---------- 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index 22fa40fe1..3066c1eba 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -115,7 +115,7 @@ Tables: "unit": "MMT CO2e" "compartment": "air" "flow": "CO2" - "desc": "CO2 Emissions from Wood Consumption by End-Use Sector (MMT CO2 Eq.)" + "desc": "Table 3-120: CO2 Emissions from Wood Consumption by End-Use Sector (MMT CO2 Eq.)" # Petroleum Systems "3-44": @@ -303,7 +303,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2022 Energy Consumption Data and CO2 Emissions from + Table A-5: 2022 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2022" "A-6": # Separate emissions table for each year @@ -314,7 +314,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2021 Energy Consumption Data and CO2 Emissions from + Table A-6: 2021 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2021" "A-7": # Separate emissions table for each year @@ -325,7 +325,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2020 Energy Consumption Data and CO2 Emissions from + Table A-7: 2020 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2020" "A-8": # Separate emissions table for each year @@ -336,7 +336,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2019 Energy Consumption Data and CO2 Emissions from + Table A-8: 2019 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2019" "A-9": # Separate emissions table for each year @@ -347,7 +347,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2018 Energy Consumption Data and CO2 Emissions from + Table A-9: 2018 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type" "year": "2018" "A-10": # Separate emissions table for each year @@ -358,7 +358,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2017 Energy Consumption Data and CO2 Emissions from + Table A-10: 2017 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2017" "A-11": # Separate emissions table for each year @@ -369,7 +369,7 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2016 Energy Consumption Data and CO2 Emissions from + Table A-11: 2016 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2016" "A-12": # Separate emissions table for each year @@ -380,8 +380,8 @@ Annex: "emission_unit": "MMT CO2e" "emission_class": "Chemicals" "desc": > - 2015 Energy Consumption Data and CO2 Emissions from " - Fossil Fuel Combustion by Fuel Type" + Table A-12: 2015 Energy Consumption Data and CO2 Emissions from + Fossil Fuel Combustion by Fuel Type "year": "2015" #"A-11": # Separate emissions table for each year @@ -445,7 +445,7 @@ Annex: "class": "Energy" "unit": "million gallons" "activity": "Fuel Consumption" - "desc": "Fuel Consumption by Fuel and Vehicle Type (million gallons unless otherwise specified)" + "desc": "Table A-71: Fuel Consumption by Fuel and Vehicle Type (million gallons unless otherwise specified)" #"A-70": # Not a primary emissions datasource # "class": "Chemicals" @@ -471,4 +471,4 @@ Annex: "unit": "MMT CO2e" "compartment": "air" "flow": "HFCs" - "desc": "HFC Emissions from Transportation Sources (MMT CO2 Eq.)" + "desc": "Table A-92: HFC Emissions from Transportation Sources (MMT CO2 Eq.)" From 1cea32475a5ae304ae66c60c6d04415f130dca22 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sun, 21 Apr 2024 11:40:13 -0400 Subject: [PATCH 36/69] add `3-116` to multi chem names --- flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index 3066c1eba..32cda1482 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -30,7 +30,7 @@ years: # Special table lists -multi_chem_names: ["2-1", "4-53", "5-6", "5-28"] # Dropped "ES-4" +multi_chem_names: ["2-1", "3-116", "4-53", "5-6", "5-28"] # Dropped "ES-4" source_No_activity: ["3-24", "3-24b"] # Handle tables with 1 parent level category source_activity_1: ["3-7", "3-8", "3-9", "5-17", "5-18"] ## Dropped "3-10", "A-70", "A-71"] From 16e5c2763d74bc66dbe43bf56102723cba042160 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sun, 21 Apr 2024 11:43:05 -0400 Subject: [PATCH 37/69] tag supressed data and set to 0 --- flowsa/data_source_scripts/EPA_GHGI.py | 36 ++++++++++++++------------ 1 file changed, 20 insertions(+), 16 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index 9bb44955a..fcaa3e11f 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -465,22 +465,26 @@ def ghg_parse(*, df_list, year, config, **_): df = df.melt(id_vars=id_vars, var_name="Year", value_name="FlowAmount") - # Dropping all rows with value "+": represents non-zero value - df["FlowAmount"].replace("\+", np.nan, inplace=True, regex=True) - # Dropping all rows with value "NE" - df["FlowAmount"].replace(" NE ", np.nan, inplace=True) - df["FlowAmount"].replace("NE", np.nan, inplace=True) - # Convert all empty cells to nan cells - df["FlowAmount"].replace("", np.nan, inplace=True) - # Table 3-10 has some NO (Not Occuring) values, dropping these. - df["FlowAmount"].replace(" NO ", np.nan, inplace=True) - df["FlowAmount"].replace("NO", np.nan, inplace=True) - # Table A-118 has some IE values, dropping these. - df["FlowAmount"].replace("IE", np.nan, inplace=True) - df["FlowAmount"].replace(r'NO ', np.nan, inplace=True) - - # Drop any nan rows - df.dropna(subset=['FlowAmount'], inplace=True) + # set suppressed values to 0 but mark as suppressed + # otherwise set non-numeric to nan + try: + df = (df.assign( + Suppressed = np.where(df.FlowAmount.str.strip() == "+", "+", + np.nan), + FlowAmount = pd.Series( + np.where(df.FlowAmount.str.strip() == "+", 0, + df.FlowAmount.str.replace(',','')))) + ) + df = (df.assign( + FlowAmount = np.where(pd.to_numeric( + df.FlowAmount, errors='coerce').isnull(), + np.nan, pd.to_numeric( + df.FlowAmount, errors='coerce'))) + .dropna(subset='FlowAmount') + ) + except AttributeError: + # if no string in FlowAmount, then proceed + df = df.dropna(subset='FlowAmount') if table_name not in ANNEX_ENERGY_TABLES: if 'Unit' not in df: From ca6bdee6689ceebdf63b2f79d21189bc782a8836 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sun, 21 Apr 2024 12:18:35 -0400 Subject: [PATCH 38/69] add `4-61`, `4-62`, `4-132` --- flowsa/data_source_scripts/EPA_GHGI.py | 16 ++++++++- .../flowbyactivitymethods/EPA_GHGI.yaml | 36 ++++++++++++------- 2 files changed, 39 insertions(+), 13 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index fcaa3e11f..c54e72f6b 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -516,6 +516,7 @@ def ghg_parse(*, df_list, year, config, **_): source_activity_1 = config.get('source_activity_1') source_activity_1_fuel = config.get('source_activity_1_fuel') source_activity_2 = config.get('source_activity_2') + rows_as_flows = config.get('rows_as_flows') if table_name in multi_chem_names: bool_apb = False @@ -684,7 +685,20 @@ def ghg_parse(*, df_list, year, config, **_): df.loc[:, 'FlowType'] = 'TECHNOSPHERE_FLOW' df.loc[:, 'FlowName'] = df.loc[:, 'ActivityProducedBy'] - elif table_name in ["4-100", "4-106", "4-118", "4-122"]: + elif table_name in ["4-132"]: + df = df.iloc[::-1] # reverse the order for assigning APB + for index, row in df.iterrows(): + apb_value = strip_char(row["ActivityProducedBy"]) + if apb_value.startswith('Total'): + # set the header + apbe_value = apb_value.replace('Total ','') + df = df.drop(index) + else: + df.loc[index, 'ActivityProducedBy'] = apbe_value + df.loc[index, 'FlowName'] = apb_value + df = df.iloc[::-1] # revert the order + + elif table_name in rows_as_flows: # Table with flow names as Rows df.loc[:, 'FlowName'] = (df.loc[:, 'ActivityProducedBy'] .apply(lambda x: strip_char(x))) diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index 32cda1482..8ba71722a 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -30,13 +30,15 @@ years: # Special table lists -multi_chem_names: ["2-1", "3-116", "4-53", "5-6", "5-28"] # Dropped "ES-4" +# Flows as group headers +multi_chem_names: ["2-1", "3-116", "4-53", "5-6", "5-28"] source_No_activity: ["3-24", "3-24b"] # Handle tables with 1 parent level category -source_activity_1: ["3-7", "3-8", "3-9", "5-17", "5-18"] ## Dropped "3-10", "A-70", "A-71"] +source_activity_1: ["3-7", "3-8", "3-9", "5-17", "5-18"] source_activity_1_fuel: ["3-13", "3-14", "3-15"] # Tables with sub categories source_activity_2: ["3-44", "3-73", "A-92"] +rows_as_flows: ["4-61", "4-62", "4-100", "4-106", "4-118", "4-122"] Tables: "Ch 2 - Trends": @@ -207,6 +209,20 @@ Tables: "unit": "kt" "desc": "Table 4-55: Production of Selected Petrochemicals (kt)" + "4-61": + "class": "Chemicals" + "unit": "MMT CO2e" + "compartment": "air" + "activity": "Fluorochemical Production" + "desc": "Table 4-61: Emissions of HFCs, PFCs, SF6, and NF3 from production of Fluorochemicals Other Than HCFC-22 (MMT CO2 Eq.)" + + "4-62": + "class": "Chemicals" + "unit": "MT" + "compartment": "air" + "activity": "Fluorochemical Production" + "desc": "Table 4-62: Emissions of HFCs, PFCs, SF6, and NF3 from production of Fluorochemicals Other Than HCFC-22 (Metric Tons)" + "4-106": "class": "Chemicals" "unit": "MMT CO2e" @@ -236,6 +252,12 @@ Tables: "flow": "HFCs and PFCs" "desc": "Table 4-124: Emissions of HFCs and PFCs from ODS Substitutes (MMT CO2 Eq.) by Sector" + "4-132": + "class": "Chemicals" + "unit": "MMT CO2e" + "compartment": "air" + "desc": "Table 4-132: SF6 and PFC Emissions from Other Product Use (MMT CO2 Eq.)" + "Ch 5 - Agriculture": "5-3": "class": "Chemicals" @@ -270,16 +292,6 @@ Tables: "flow": "CO2e" "desc": "Table 5-28: CH4 and N2O Emissions from Field Burning of Agricultural Residues (MMT CO2 Eq.)" -## NEED TO DROP ES-4 - #"Executive Summary": - # "ES-4": # Not currently used - # "class": "Chemicals" - # "unit": "MMT CO2e" - # "compartment": "air" - # "flow": "CO2e" - #"desc": > - # Table ES-4: U.S. Greenhouse Gas Emissions and Removals (Net Flux) - # from Land Use, Land-Use Change, and Forestry (MMT CO2 Eq.) Annex: "Annex 2": From baf4bb2478f64f1073ad96f243e2d44f5c81f40a Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sun, 21 Apr 2024 13:37:29 -0400 Subject: [PATCH 39/69] add activities for 4-61 and 4-132 --- .../NAICS_Crosswalk_EPA_GHGI.csv | 5 ++++ .../GHG_national_m1_common.yaml | 23 ++++++++++++++++++- .../GHG_national_m2_common.yaml | 9 ++++++++ 3 files changed, 36 insertions(+), 1 deletion(-) diff --git a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv index 3a0b12b4d..07fa8d0ae 100644 --- a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv +++ b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv @@ -279,6 +279,7 @@ EPA_GHGI,Total Petroleum Commercial,NAICS_2012_Code,923110,,GSLGE,EPA_GHGI_T_A_1 EPA_GHGI,Total Petroleum Commercial,NAICS_2012_Code,923120,,GSLGH,EPA_GHGI_T_A_14 EPA_GHGI,Total (All Fuels) Residential,NAICS_2012_Code,F01000,,F0100,EPA_GHGI_T_A_14 EPA_GHGI,HCFC-22 Production,NAICS_2012_Code,325120,,325120,EPA_GHGI_T_4_50 +EPA_GHGI,Fluorochemical Production,NAICS_2012_Code,325613,,,EPA_GHGI_T_4_61 EPA_GHGI,Electronics Production,NAICS_2012_Code,334413,,334413,EPA_GHGI_T_4_94 EPA_GHGI,Magnesium Production and Processing,NAICS_2012_Code,331410,,"331410, 331490, 331520",EPA_GHGI_T_4_84 EPA_GHGI,Magnesium Production and Processing,NAICS_2012_Code,33149,,,EPA_GHGI_T_4_84 @@ -358,6 +359,10 @@ EPA_GHGI,Foams,NAICS_2012_Code,92,,,EPA_GHGI_T_4_101 EPA_GHGI,Foams,NAICS_2012_Code,F01000,,,EPA_GHGI_T_4_101 EPA_GHGI,Solvents,,,,excluded,EPA_GHGI_T_4_101 EPA_GHGI,Fire Protection,,,,excluded,EPA_GHGI_T_4_101 +EPA_GHGI,AWACs,NAICS_2012_Code,928110,,,EPA_GHGI_T_4_132 +EPA_GHGI,Other Military Applications,NAICS_2012_Code,928110,,,EPA_GHGI_T_4_132 +EPA_GHGI,Particle Accelerators,NAICS_2012_Code,54171,,,EPA_GHGI_T_4_132 +EPA_GHGI,Other Scientific Applications,NAICS_2012_Code,54171,,,EPA_GHGI_T_4_132 EPA_GHGI,Heavy-Duty Vehicles,NAICS_2012_Code,484,,484000,EPA_GHGI_T_A_97 EPA_GHGI,School and Tour Buses,NAICS_2012_Code,485,,485000,EPA_GHGI_T_A_97 EPA_GHGI,Transit Buses,,,,excluded,EPA_GHGI_T_A_97 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml index 37e74b113..edc97a534 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml @@ -665,10 +665,26 @@ source_names: # year: # override with ghgi_year fedefl_mapping: GHGI_AR5_100 selection_fields: - Unit: MMT CO2e # drop records in kt PrimaryActivity: HCFC-22 Production attribution_method: direct + EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + # year: # override with ghgi_year + fedefl_mapping: GHGI_AR5_100 + selection_fields: + PrimaryActivity: Fluorochemical Production + FlowName: ["Other PFCs", "Other HFCs"] + attribution_method: direct + + EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + # year: # override with ghgi_year + fedefl_mapping: GHGI_AR5_100 + selection_fields: + PrimaryActivity: Fluorochemical Production + exclusion_fields: + FlowName: ["Other PFCs", "Other HFCs"] + attribution_method: direct + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture # year: # override with ghgi_year fedefl_mapping: GHGI_AR5_100 @@ -676,6 +692,11 @@ source_names: PrimaryActivity: Electronics Production attribution_method: direct + EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + # year: # override with ghgi_year + fedefl_mapping: GHGI_AR5_100 + attribution_method: direct + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes clean_fba_before_activity_sets: !script_function:EPA_GHGI split_HFCs_by_type clean_parameter: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml index afff3dd82..285696f34 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml @@ -596,9 +596,18 @@ source_names: EPA_GHGI_T_4_57: # HFCs from HCFC-22 production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + + EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 activity_sets: From a9388a51ddce21059ebb04aa171994141c16384c Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sun, 21 Apr 2024 13:43:27 -0400 Subject: [PATCH 40/69] fix additional descriptions --- flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index 8ba71722a..f60088bbc 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -145,13 +145,13 @@ Tables: "unit": "MMT CO2e" "compartment": "air" "flow": "CH4" - "desc": "Table 3-73: CH4 Emissions from Natural Gas Systems (MMT CO2 Eq.)a" + "desc": "Table 3-73: CH4 Emissions from Natural Gas Systems (MMT CO2 Eq.)" "3-75": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2" - "desc": "Table 3-75: Non-combustion CO2 Emissions from Natural Gas Systems (MMT)" + "desc": "Table 3-75: CO2 Emissions from Natural Gas Systems (MMT)" "3-77": "class": "Chemicals" "unit": "MT CO2e" @@ -237,20 +237,21 @@ Tables: "flow": "CO2e" "activity": "Electronics Production" "desc": "Table 4-118: PFC, HFC, SF6, NF3, and N2O Emissions from Electronics Manufacture (MMT CO2 Eq.)" + "4-122": # Used to speciate HFC emissions in 4-124 "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2e" "activity": "ODS Substitute" - "desc": "Table 4-122: Emissions of HFCs and PFCs from ODS Substitutes (MMT CO2 Eq.)" + "desc": "Table 4-122: Emissions of HFCs, PFCs, and CO2 from ODS Substitutes (MMT CO2 Eq.)" "4-124": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "HFCs and PFCs" - "desc": "Table 4-124: Emissions of HFCs and PFCs from ODS Substitutes (MMT CO2 Eq.) by Sector" + "desc": "Table 4-124: Emissions of HFCs, PFCs, and CO2 from ODS Substitutes (MMT CO2 Eq.) by Sector" "4-132": "class": "Chemicals" @@ -277,7 +278,7 @@ Tables: "unit": "MMT CO2e" "compartment": "air" "flow": "N2O" - "desc": "Table 5-17: Direct N2O Emissions from Agricultural Soils by Land Use Type and N Input Type (MMT CO2 Eq.)" + "desc": "Table 5-17: Direct N2O Emissions from Agricultural Soils by Land Use Type and Nitrogen Input Type (MMT CO2 Eq.)" "5-18": "class": "Chemicals" "unit": "MMT CO2e" From cc60efadbec1cbe05c8d56c5a5b5fd4831fab1e2 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sun, 21 Apr 2024 13:44:51 -0400 Subject: [PATCH 41/69] post-meter no longer a subset of distribution for NG tables --- .../data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv | 2 +- flowsa/data_source_scripts/EPA_GHGI.py | 1 + flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml | 2 +- 3 files changed, 3 insertions(+), 2 deletions(-) diff --git a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv index 07fa8d0ae..05bbd9775 100644 --- a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv +++ b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv @@ -73,7 +73,7 @@ EPA_GHGI,Transportation,NAICS_2012_Code,486110,,not mapped,"EPA_GHGI_T_3_38, EPA EPA_GHGI,Refining,NAICS_2012_Code,324110,,324110,"EPA_GHGI_T_3_38, EPA_GHGI_T_3_40, EPA_GHGI_T_3_42" EPA_GHGI,Crude Refining,NAICS_2012_Code,324110,,324110,"EPA_GHGI_T_3_38, EPA_GHGI_T_3_40, EPA_GHGI_T_3_42" EPA_GHGI,Distribution,NAICS_2012_Code,221210,,221200,"EPA_GHGI_T_3_63, EPA_GHGI_T_3_65, EPA_GHGI_T_3_67" -EPA_GHGI,Distribution - Post-Meter,NAICS_2012_Code,221210,,,"EPA_GHGI_T_3_63, EPA_GHGI_T_3_65, EPA_GHGI_T_3_67" +EPA_GHGI,Post-Meter,NAICS_2012_Code,221210,,,"EPA_GHGI_T_3_63, EPA_GHGI_T_3_65, EPA_GHGI_T_3_67" EPA_GHGI,Processing,NAICS_2012_Code,211111,,211000,"EPA_GHGI_T_3_63, EPA_GHGI_T_3_65, EPA_GHGI_T_3_67" EPA_GHGI,Transmission and Storage,NAICS_2012_Code,486210,,486000,"EPA_GHGI_T_3_63, EPA_GHGI_T_3_65, EPA_GHGI_T_3_67" EPA_GHGI,Chickpeas,NAICS_2012_Code,11113,,1111B0,EPA_GHGI_T_5_29 diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index c54e72f6b..274881371 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -628,6 +628,7 @@ def ghg_parse(*, df_list, year, config, **_): apbe_value = "" flow_name_list = ["Explorationb", "Production", "Processing", "Transmission and Storage", "Distribution", + "Post-Meter", "Crude Oil Transportation", "Refining", "Exploration", "Mobile AC", "Refrigerated Transport", diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml index edc97a534..3d968ff6a 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml @@ -161,7 +161,7 @@ source_names: selection_fields: PrimaryActivity: - Distribution - - Distribution - Post-Meter + - Post-Meter - Exploration - Processing - Production From a23a093f17f036fbe74a0853ac79298ab4f7ca73 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sun, 21 Apr 2024 19:26:19 -0400 Subject: [PATCH 42/69] add missing activity for 3-13 parsing --- flowsa/data_source_scripts/EPA_GHGI.py | 1 + 1 file changed, 1 insertion(+) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index 274881371..b97e3e674 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -598,6 +598,7 @@ def ghg_parse(*, df_list, year, config, **_): "Alternative Fuel On-Road", "Non-Road", "Gasoline On-Road", "Distillate Fuel Oil", "Biofuels-Ethanol", "Biofuels-Biodiesel", + "International Bunker Fuels", ] if table_name in source_activity_1: activity_subtotal = activity_subtotal_sector From f7bc809a761192275f4010e206e56bf594aaa018 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sun, 21 Apr 2024 21:26:28 -0400 Subject: [PATCH 43/69] add `4-61`, `4-62`, `4-132` to FBS methods for time series --- .../flowbysectormethods/GHG_national_2012_m1.yaml | 9 +++++++++ .../flowbysectormethods/GHG_national_2012_m2.yaml | 12 ++++++++++++ .../flowbysectormethods/GHG_national_2013_m1.yaml | 9 +++++++++ .../flowbysectormethods/GHG_national_2013_m2.yaml | 12 ++++++++++++ .../flowbysectormethods/GHG_national_2014_m1.yaml | 9 +++++++++ .../flowbysectormethods/GHG_national_2014_m2.yaml | 12 ++++++++++++ .../flowbysectormethods/GHG_national_2015_m1.yaml | 9 +++++++++ .../flowbysectormethods/GHG_national_2015_m2.yaml | 12 ++++++++++++ .../flowbysectormethods/GHG_national_2016_m1.yaml | 9 +++++++++ .../flowbysectormethods/GHG_national_2016_m2.yaml | 12 ++++++++++++ .../flowbysectormethods/GHG_national_2017_m1.yaml | 9 +++++++++ .../flowbysectormethods/GHG_national_2017_m2.yaml | 12 ++++++++++++ .../flowbysectormethods/GHG_national_2018_m1.yaml | 9 +++++++++ .../flowbysectormethods/GHG_national_2018_m2.yaml | 12 ++++++++++++ .../flowbysectormethods/GHG_national_2019_m1.yaml | 9 +++++++++ .../flowbysectormethods/GHG_national_2019_m2.yaml | 12 ++++++++++++ .../flowbysectormethods/GHG_national_2020_m1.yaml | 9 +++++++++ .../flowbysectormethods/GHG_national_2020_m2.yaml | 12 ++++++++++++ .../flowbysectormethods/GHG_national_2021_m1.yaml | 9 +++++++++ .../flowbysectormethods/GHG_national_2021_m2.yaml | 12 ++++++++++++ .../flowbysectormethods/GHG_national_2022_m1.yaml | 9 +++++++++ .../flowbysectormethods/GHG_national_2022_m2.yaml | 12 ++++++++++++ 22 files changed, 231 insertions(+) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml index a1dedd363..4b429f030 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml @@ -187,9 +187,18 @@ source_names: "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml index 9b4c3a0bd..620217fc3 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml @@ -402,10 +402,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + + EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml index f3bc4053a..52c7f2c13 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml @@ -179,9 +179,18 @@ source_names: "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml index 5241d8d12..3dc7739b0 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml @@ -377,10 +377,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + + EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml index 3b59ed279..f9bd44fc7 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml @@ -179,9 +179,18 @@ source_names: "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml index 5471ddf23..ae00dfe11 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml @@ -377,10 +377,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + + EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml index 031c4803e..14a0ad8e7 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml @@ -179,9 +179,18 @@ source_names: "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml index 652e03971..85dfb5e63 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml @@ -357,10 +357,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + + EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml index 8aa5091f9..d586c856f 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml @@ -179,9 +179,18 @@ source_names: "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml index c7c56b884..8726f21bf 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml @@ -357,10 +357,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + + EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml index 03a96389f..bd3f74ad2 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml @@ -188,9 +188,18 @@ source_names: "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml index 17e1e6362..16f83b43f 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml @@ -400,10 +400,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + + EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml index 5cb67a0ca..9a3039b7a 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml @@ -161,9 +161,18 @@ source_names: "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml index 5eb3d1273..0fa672948 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml @@ -343,10 +343,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + + EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml index 4c9fdd94f..91f8582a0 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml @@ -161,9 +161,18 @@ source_names: "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml index 78141e0d4..f8983913a 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml @@ -343,10 +343,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + + EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml index 04d42f4ce..458fa91f7 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml @@ -161,9 +161,18 @@ source_names: "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml index 50c68f5ad..a9426e032 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml @@ -344,10 +344,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + + EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml index 272dd51e3..b00b9d7ef 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml @@ -161,9 +161,18 @@ source_names: "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml index 8d9b19db6..fdd0f179a 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml @@ -344,10 +344,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + + EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml index d1b6b6be5..39beea39b 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml @@ -161,9 +161,18 @@ source_names: "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml index a1b271b27..8d47e4378 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml @@ -344,10 +344,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 year: *ghgi_year + EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + year: *ghgi_year + + EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + year: *ghgi_year + EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year + EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + year: *ghgi_year + EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year From 6ab176a34f5619cdd758e2fd7875643cfd49355a Mon Sep 17 00:00:00 2001 From: Ben Young Date: Sun, 21 Apr 2024 21:57:09 -0400 Subject: [PATCH 44/69] temporarily use 2018 data for new tables due to lack of csv data for 2017 --- .../methods/flowbysectormethods/GHG_national_2017_m1.yaml | 6 +++--- .../methods/flowbysectormethods/GHG_national_2017_m2.yaml | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml index bd3f74ad2..3ec145322 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml @@ -190,16 +190,16 @@ source_names: year: *ghgi_year "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 - year: *ghgi_year + year: 2018 # temporary "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 - year: *ghgi_year + year: 2018 # temporary "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 year: *ghgi_year "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 - year: *ghgi_year + year: 2018 # temporary "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml index 16f83b43f..029cbfb4b 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml @@ -402,11 +402,11 @@ source_names: EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 - year: *ghgi_year + year: 2018 # temporary EPA_GHGI_T_4_62: # Fluorochemical production (in MT) !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 - year: *ghgi_year + year: 2018 # temporary EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 @@ -414,7 +414,7 @@ source_names: EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 - year: *ghgi_year + year: 2018 # temporary EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 From b72067f47b06850ea2d5a0d9b90a6a44acaa8750 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Mon, 6 May 2024 20:40:53 -0400 Subject: [PATCH 45/69] update to 2024 csv zip files --- flowsa/data_source_scripts/EPA_GHGI.py | 163 ++++++++---------- .../flowbyactivitymethods/EPA_GHGI.yaml | 10 +- 2 files changed, 80 insertions(+), 93 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index b97e3e674..c71527057 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -161,98 +161,85 @@ def ghg_call(*, resp, url, year, config, **_): :param config: dictionary, items in FBA method yaml :return: pandas dataframe of original source data """ - ## Temporary adjustment to read from local dir - frames = [] - with zipfile.ZipFile(externaldatapath / config.get('local_file'), "r") as f: - t_tables = {**config['Tables'], **config['Annex']} - ## End temp adjustment - - ## temporary comment this out - # with zipfile.ZipFile(io.BytesIO(resp.content), "r") as f: - # frames = [] - # if any(x in url for x in ['annex', 'Annex']): - # is_annex = True - # t_tables = config['Annex'] - # else: - # is_annex = False - # t_tables = config['Tables'] - ## temporary comment this out ^^ + with zipfile.ZipFile(io.BytesIO(resp.content), "r") as f: + frames = [] + if any(x in url for x in ['annex', 'Annex']): + opath = config['path']['annex'] + t_tables = config['Annex'] + else: + opath = config['path']['base'] + t_tables = config['Tables'] for chapter, tables in t_tables.items(): - for table in tables: - df = None - tbl_year = tables[table].get('year') - if tbl_year is not None and tbl_year != year: - # Skip tables when the year does not align with target year - continue - - table_name = tables[table].get('table_name', table) - ## temporary comment this out and replace w/ new path - # if is_annex: - # path = config['path']['annex'] - # else: - # path = config['path']['base'] - # path = (path.replace('{chapter}', chapter) - # .replace('{table_name}', table_name)) - path = f'Table {table}.csv' - - # Handle special case of table 3-24 in external data folder - if table == "3-24b": - if str(year) in ['2022']: - # Skip 3-24b for current year (use 3-24 instead) + # Access chapter specific zip files within the main zip + chapter_name = f'{chapter.rsplit(" - ")[1]}.zip' + zfiledata = io.BytesIO(f.read(chapter_name)) + with zipfile.ZipFile(zfiledata) as f2: + for table in tables: + df = None + tbl_year = tables[table].get('year') + if tbl_year is not None and tbl_year != year: + # Skip tables when the year does not align with target year continue + table_name = tables[table].get('table_name', table) + path = opath.replace('{table_name}', table_name) + # Handle special case of table 3-24 in external data folder + if table == "3-24b": + if str(year) in ['2022']: + # Skip 3-24b for current year (use 3-24 instead) + continue + else: + df=pd.read_csv(externaldatapath / f"GHGI_Table_{table}.csv", + skiprows=2, encoding="ISO-8859-1", thousands=",") else: - df = pd.read_csv(externaldatapath / f"GHGI_Table_{table}.csv", - skiprows=2, encoding="ISO-8859-1", thousands=",") - else: - try: - data = f.open(path) - except KeyError: - log.error(f"error reading {table}") - continue - - if table in ['3-10', '5-28', 'A-71', 'A-92']: - # Skip single row - df = pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", - thousands=",", decimal=".") - df = df.rename(columns={'2010a':'2010'}) ## Check year 2010 - elif table == "3-24": - # Skip first row, but make headers the next 2 rows: - df = pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", - header=[0, 1], thousands=",") - # Row 0 is header, row 1 is unit - new_headers = [] - for col in df.columns: - new_header = 'Unnamed: 0' - if 'Unnamed' not in col[0]: - if 'Unnamed' not in col[1]: - new_header = f'{col[0]} {col[1]}' + try: + data=f2.open(path) + except KeyError: + log.error(f"error reading {table}") + continue + + if table in ['3-10', '5-28', 'A-71', 'A-92']: + # Skip single row + df=pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", + thousands=",", decimal=".") + df=df.rename(columns={'2010a': '2010'}) # Check year 2010 + elif table == "3-24": + # Skip first row, but make headers the next 2 rows: + df=pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", + header=[0, 1], thousands=",") + # Row 0 is header, row 1 is unit + new_headers=[] + for col in df.columns: + new_header='Unnamed: 0' + if 'Unnamed' not in col[0]: + if 'Unnamed' not in col[1]: + new_header=f'{col[0]} {col[1]}' + else: + new_header=col[0] else: - new_header = col[0] - else: - new_header = col[1] - new_headers.append(new_header) - df.columns = new_headers - elif table in ANNEX_ENERGY_TABLES: - df = annex_yearly_tables(data, table) - elif table != '3-24b': - # Except for 3-24b already as df, - # Proceed with default case - df = pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", - thousands=",") - - if table == '3-13': - # remove notes from column headers in some years - cols = [c[:4] for c in list(df.columns[1:])] - df = df.rename(columns=dict(zip(df.columns[1:], cols))) - - if df is not None and len(df.columns) > 1: - years = YEARS.copy() - years.remove(str(year)) - df = df.drop(columns=(DROP_COLS + years), errors='ignore') - df["SourceName"] = f"EPA_GHGI_T_{table.replace('-', '_')}" - frames.append(df) - else: - log.warning(f"Error in generating {table}") + new_header=col[1] + new_headers.append(new_header) + df.columns=new_headers + elif table in ANNEX_ENERGY_TABLES: + df=annex_yearly_tables(data, table) + elif table != '3-24b': + # Except for 3-24b already as df, + # Proceed with default case + df=pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", + thousands=",") + + if table == '3-13': + # remove notes from column headers in some years + cols=[c[:4] for c in list(df.columns[1:])] + df=df.rename(columns=dict(zip(df.columns[1:], cols))) + + if df is not None and len(df.columns) > 1: + years=YEARS.copy() + years.remove(str(year)) + df=df.drop(columns=(DROP_COLS + years), errors='ignore') + df["SourceName"]=f"EPA_GHGI_T_{table.replace('-', '_')}" + frames.append(df) + else: + log.warning(f"Error in generating {table}") return frames diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index f60088bbc..406a265bf 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -4,13 +4,13 @@ source_url: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissio bib_id: EPA_GHGI format: csv url: - base_url: https://www.epa.gov/system/files/other-files/2022-05/Main%20Chapter.zip + base_url: https://www.epa.gov/system/files/other-files/2024-05/main-text.zip annex_url: https://www.epa.gov/system/files/other-files/2022-06/Annex.zip path: - base: "Chapter Tables/{chapter}/Table {table_name}.csv" + base: "Table {table_name}.csv" annex: "Annex/{chapter}/Table {table_name}.csv" -local_file: "DraftGHGI-90-22_CSVs.zip" -# url_replace_fxn: !script_function:EPA_GHGI ghg_url_helper +# local_file: "DraftGHGI-90-22_CSVs.zip" +url_replace_fxn: !script_function:EPA_GHGI ghg_url_helper call_response_fxn: !script_function:EPA_GHGI ghg_call parse_response_fxn: !script_function:EPA_GHGI ghg_parse years: @@ -41,7 +41,7 @@ source_activity_2: ["3-44", "3-73", "A-92"] rows_as_flows: ["4-61", "4-62", "4-100", "4-106", "4-118", "4-122"] Tables: - "Ch 2 - Trends": + "Ch 2 - Trends in Greenhouse Gas Emissions and Removals": "2-1": "class": "Chemicals" "unit": "MMT CO2e" From 935333765474f14439cd4d117e2804d690318203 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Tue, 7 May 2024 16:19:32 -0400 Subject: [PATCH 46/69] update some table names with revises GHGI release --- flowsa/data_source_scripts/EPA_GHGI.py | 28 +----- .../flowbyactivitymethods/EPA_GHGI.yaml | 87 ++++--------------- .../GHG_national_2012_m1.yaml | 28 +++--- .../GHG_national_2012_m2.yaml | 16 ++-- .../GHG_national_2013_m1.yaml | 28 +++--- .../GHG_national_2013_m2.yaml | 16 ++-- .../GHG_national_2014_m1.yaml | 28 +++--- .../GHG_national_2014_m2.yaml | 16 ++-- .../GHG_national_2015_m1.yaml | 28 +++--- .../GHG_national_2015_m2.yaml | 16 ++-- .../GHG_national_2016_m1.yaml | 28 +++--- .../GHG_national_2016_m2.yaml | 16 ++-- .../GHG_national_2017_m1.yaml | 28 +++--- .../GHG_national_2017_m2.yaml | 16 ++-- .../GHG_national_2018_m1.yaml | 34 ++++---- .../GHG_national_2018_m2.yaml | 16 ++-- .../GHG_national_2019_m1.yaml | 34 ++++---- .../GHG_national_2019_m2.yaml | 16 ++-- .../GHG_national_2020_m1.yaml | 34 ++++---- .../GHG_national_2020_m2.yaml | 16 ++-- .../GHG_national_2021_m1.yaml | 34 ++++---- .../GHG_national_2021_m2.yaml | 16 ++-- .../GHG_national_2022_m1.yaml | 34 ++++---- .../GHG_national_2022_m2.yaml | 16 ++-- .../GHG_national_m1_common.yaml | 14 +-- .../GHG_national_m2_common.yaml | 26 +++--- 26 files changed, 297 insertions(+), 372 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index c71527057..85950b7f2 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -405,20 +405,6 @@ def ghg_parse(*, df_list, year, config, **_): df['Unit'] = name_unit['units'] df['Year'] = year - # elif table_name in ['4-16', '4-37', '4-57', '4-100']: - # # When Year is the first column in the table, need to make this correction - # df = df.rename(columns={'ActivityProducedBy': 'Year', - # 'Year': 'ActivityProducedBy'}) - # # Melt on custom defined variable - # melt_var = meta.get('melt_var') - # if melt_var in id_vars: - # id_vars.remove(melt_var) - # elif 'ActivityProducedBy' not in df: - # df["ActivityProducedBy"] = 'None' - # id_vars.append('Year') - # df = df.melt(id_vars=id_vars, var_name=melt_var, - # value_name="FlowAmount") - elif table_name in ANNEX_ENERGY_TABLES: df = df.melt(id_vars=id_vars, var_name="FlowName", value_name="FlowAmount") @@ -674,7 +660,7 @@ def ghg_parse(*, df_list, year, config, **_): df.loc[:, 'FlowType'] = 'TECHNOSPHERE_FLOW' df.loc[:, 'FlowName'] = df.loc[:, 'ActivityProducedBy'] - elif table_name in ["4-132"]: + elif table_name in ["4-135"]: df = df.iloc[::-1] # reverse the order for assigning APB for index, row in df.iterrows(): apb_value = strip_char(row["ActivityProducedBy"]) @@ -694,13 +680,7 @@ def ghg_parse(*, df_list, year, config, **_): df = df[~df['FlowName'].str.contains("Total")] df.loc[:, 'ActivityProducedBy'] = meta.get('activity') - # elif table_name in ["4-37", "4-57", "4-100"]: - # # Table with units or flows as columns - # df.loc[:, 'ActivityProducedBy'] = meta.get('activity') - # df.loc[df['Unit'] == 'MMT CO2 Eq.', 'Unit'] = 'MMT CO2e' - # df.loc[df['Unit'].str.contains('kt'), 'Unit'] = 'kt' - - elif table_name in ["4-16", "4-124", "A-95"]: + elif table_name in ["4-16", "4-127", "A-95"]: # Remove notes from activity names for index, row in df.iterrows(): apb_value = strip_char(row["ActivityProducedBy"].split("(")[0]) @@ -806,14 +786,14 @@ def allocate_industrial_combustion(fba: FlowByActivity, **_) -> FlowByActivity: def split_HFCs_by_type(fba: FlowByActivity, **_) -> FlowByActivity: - """Speciates HFCs and PFCs for all activities based on T_4_100. + """Speciates HFCs and PFCs for all activities based on T_4_125. clean_fba_before_mapping_df_fxn""" attributes_to_save = { attr: getattr(fba, attr) for attr in fba._metadata + ['_metadata'] } original_sum = fba.FlowAmount.sum() - tbl = fba.config.get('clean_parameter')['flow_fba'] # 4-100 #Now 4-122 + tbl = fba.config.get('clean_parameter')['flow_fba'] # 4-125 splits = load_fba_w_standardized_units(datasource=tbl, year=fba['Year'][0], download_FBA_if_missing=True) diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index 406a265bf..35aa5240b 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -38,7 +38,7 @@ source_activity_1: ["3-7", "3-8", "3-9", "5-17", "5-18"] source_activity_1_fuel: ["3-13", "3-14", "3-15"] # Tables with sub categories source_activity_2: ["3-44", "3-73", "A-92"] -rows_as_flows: ["4-61", "4-62", "4-100", "4-106", "4-118", "4-122"] +rows_as_flows: ["4-61", "4-62", "4-103", "4-109", "4-121", "4-125"] Tables: "Ch 2 - Trends in Greenhouse Gas Emissions and Removals": @@ -173,7 +173,7 @@ Tables: "compartment": "air" "flow": "CO2" "desc": "Table 4-16: CO2 Emissions from Other Process Uses of Carbonates (MMT CO2 Eq.)" - # "melt_var": "ActivityProducedBy" + "4-37": # Emissions captured in 2-1 "class": "Chemicals" "compartment": "air" @@ -188,13 +188,13 @@ Tables: "activity": "HCFC-22 Production" "desc": "Table 4-57: HFC-23 Emissions from HCFC-22 Production (MMT CO2 Eq.)" "unit": "MMT CO2e" - "4-100": + + "4-103": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "activity": "Aluminum Production" - "desc": "Table 4-100: PFC Emissions from Aluminum Production (MMT CO2 Eq.)" - # "melt_var": "FlowName" + "desc": "Table 4-103: PFC Emissions from Aluminum Production (MMT CO2 Eq.)" "4-53": "class": "Chemicals" @@ -223,41 +223,41 @@ Tables: "activity": "Fluorochemical Production" "desc": "Table 4-62: Emissions of HFCs, PFCs, SF6, and NF3 from production of Fluorochemicals Other Than HCFC-22 (Metric Tons)" - "4-106": + "4-109": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2e" "activity": "Magnesium Production and Processing" - "desc": "Table 4-106: SF6, HFC-134a, FK 5-1-12 and CO2 Emissions from Magnesium Production and Processing (MMT CO2 Eq.)" - "4-118": + "desc": "Table 4-109: SF6, HFC-134a, FK 5-1-12 and CO2 Emissions from Magnesium Production and Processing (MMT CO2 Eq.)" + "4-121": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2e" "activity": "Electronics Production" - "desc": "Table 4-118: PFC, HFC, SF6, NF3, and N2O Emissions from Electronics Manufacture (MMT CO2 Eq.)" + "desc": "Table 4-121: PFC, HFC, SF6, NF3, and N2O Emissions from Electronics Manufacture (MMT CO2 Eq.)" - "4-122": # Used to speciate HFC emissions in 4-124 + "4-125": # Used to speciate HFC emissions in 4-127 "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2e" "activity": "ODS Substitute" - "desc": "Table 4-122: Emissions of HFCs, PFCs, and CO2 from ODS Substitutes (MMT CO2 Eq.)" + "desc": "Table 4-125: Emissions of HFCs, PFCs, and CO2 from ODS Substitutes (MMT CO2 Eq.)" - "4-124": + "4-127": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "HFCs and PFCs" - "desc": "Table 4-124: Emissions of HFCs, PFCs, and CO2 from ODS Substitutes (MMT CO2 Eq.) by Sector" + "desc": "Table 4-127: Emissions of HFCs, PFCs, and CO2 from ODS Substitutes (MMT CO2 Eq.) by Sector" - "4-132": + "4-135": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" - "desc": "Table 4-132: SF6 and PFC Emissions from Other Product Use (MMT CO2 Eq.)" + "desc": "Table 4-135: SF6 and PFC Emissions from Other Product Use (MMT CO2 Eq.)" "Ch 5 - Agriculture": "5-3": @@ -396,62 +396,7 @@ Annex: Table A-12: 2015 Energy Consumption Data and CO2 Emissions from Fossil Fuel Combustion by Fuel Type "year": "2015" - - #"A-11": # Separate emissions table for each year - # "class": "Energy" - #"unit": "TBtu" - #"emission_compartment": "air" - #"emission": "CO2" - #"emission_unit": "MMT CO2e" - #"emission_class": "Chemicals" - #"desc": > - # 2014 Energy Consumption Data and CO2 Emissions from " - #Fossil Fuel Combustion by Fuel Type" - #"year": "2014" - #"A-12": # Separate emissions table for each year - # "class": "Energy" - #"unit": "TBtu" - #"emission_compartment": "air" - #"emission": "CO2" - #"emission_unit": "MMT CO2e" - #"emission_class": "Chemicals" - #"desc": > - # 2013 Energy Consumption Data and CO2 Emissions from - #Fossil Fuel Combustion by Fuel Type - #"year": "2013" - # "A-13": # Separate emissions table for each year - # "class": "Energy" - # "unit": "TBtu" - #"emission_compartment": "air" - #"emission": "CO2" - #"emission_unit": "MMT CO2e" - #"emission_class": "Chemicals" - #"desc": > - # 2012 Energy Consumption Data and CO2 Emissions from - #Fossil Fuel Combustion by Fuel Type - #"year": "2012" - #"A-14": # Separate emissions table for each year - # "class": "Energy" - # "unit": "TBtu" - # "emission_compartment": "air" - # "emission": "CO2" - # "emission_unit": "MMT CO2e" - # "emission_class": "Chemicals" - # "desc": > - # 2011 Energy Consumption Data and CO2 Emissions from - # Fossil Fuel Combustion by Fuel Type - # "year": "2011" - #"A-15": # Separate emissions table for each year - # "class": "Energy" - # "unit": "TBtu" - # "emission_compartment": "air" - # "emission": "CO2" - # "emission_unit": "MMT CO2e" - # "emission_class": "Chemicals" - # "desc": > - # 2010 Energy Consumption Data and CO2 Emissions from - # Fossil Fuel Combustion by Fuel Type - # "year": "2010" + "Annex 3": "A-71": # Allocation datasource diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml index 4b429f030..1312ea09a 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml @@ -193,19 +193,19 @@ source_names: "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + "EPA_GHGI_T_4_135": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + "EPA_GHGI_T_4_127": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants attribution_source: BEA_Detail_Use_PRO_BeforeRedef: <<: *bea @@ -213,7 +213,7 @@ source_names: ActivityProducedBy: {'333415': ''} # Air conditioning equipment air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning attribution_source: BEA_Detail_Use_PRO_BeforeRedef: <<: *bea @@ -221,7 +221,7 @@ source_names: ActivityProducedBy: {'333415': ''} # Air conditioning equipment foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams attribution_source: BEA_Detail_Use_PRO_BeforeRedef: <<: *bea @@ -234,11 +234,11 @@ source_names: "EPA_GHGI_T_A_92": # HFCs from Transportation !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_100": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + "EPA_GHGI_T_4_103": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year - "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 + "EPA_GHGI_T_4_109": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_109 year: *ghgi_year "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml index 620217fc3..fee2129a8 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml @@ -410,22 +410,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 + EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 + EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_100: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 + EPA_GHGI_T_4_103: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml index 52c7f2c13..e424dbae0 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml @@ -185,33 +185,33 @@ source_names: "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + "EPA_GHGI_T_4_135": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + "EPA_GHGI_T_4_127": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants attribution_source: Detail_Use_2013: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning attribution_source: Detail_Use_2013: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams attribution_source: Detail_Use_2013: selection_fields: @@ -223,11 +223,11 @@ source_names: "EPA_GHGI_T_A_92": # HFCs from Transportation !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_100": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + "EPA_GHGI_T_4_103": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year - "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 + "EPA_GHGI_T_4_109": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_109 year: *ghgi_year "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml index 3dc7739b0..bb43a3f6c 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml @@ -385,22 +385,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 + EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 + EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_100: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 + EPA_GHGI_T_4_103: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml index f9bd44fc7..9a32e1b0c 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml @@ -185,33 +185,33 @@ source_names: "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + "EPA_GHGI_T_4_135": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + "EPA_GHGI_T_4_127": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants attribution_source: Detail_Use_2014: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning attribution_source: Detail_Use_2014: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams attribution_source: Detail_Use_2014: selection_fields: @@ -223,11 +223,11 @@ source_names: "EPA_GHGI_T_A_92": # HFCs from Transportation !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_100": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + "EPA_GHGI_T_4_103": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year - "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 + "EPA_GHGI_T_4_109": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_109 year: *ghgi_year "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml index ae00dfe11..a447a2b7e 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml @@ -385,22 +385,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 + EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 + EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_100: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 + EPA_GHGI_T_4_103: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml index 14a0ad8e7..efea1d398 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml @@ -185,33 +185,33 @@ source_names: "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + "EPA_GHGI_T_4_135": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + "EPA_GHGI_T_4_127": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants attribution_source: Detail_Use_2015: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning attribution_source: Detail_Use_2015: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams attribution_source: Detail_Use_2015: selection_fields: @@ -223,11 +223,11 @@ source_names: "EPA_GHGI_T_A_92": # HFCs from Transportation !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_100": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + "EPA_GHGI_T_4_103": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year - "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 + "EPA_GHGI_T_4_109": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_109 year: *ghgi_year "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml index 85dfb5e63..063707ad0 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml @@ -365,22 +365,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 + EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 + EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_100: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 + EPA_GHGI_T_4_103: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml index d586c856f..c9920bb10 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml @@ -185,33 +185,33 @@ source_names: "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + "EPA_GHGI_T_4_135": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + "EPA_GHGI_T_4_127": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants attribution_source: Detail_Use_2016: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning attribution_source: Detail_Use_2016: selection_fields: SectorProducedBy: {'333415': ''} # Air conditioning equipment foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams attribution_source: Detail_Use_2016: selection_fields: @@ -223,11 +223,11 @@ source_names: "EPA_GHGI_T_A_92": # HFCs from Transportation !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_100": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + "EPA_GHGI_T_4_103": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year - "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 + "EPA_GHGI_T_4_109": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_109 year: *ghgi_year "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml index 8726f21bf..376232b2d 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml @@ -365,22 +365,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 + EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 + EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_100: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 + EPA_GHGI_T_4_103: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml index 3ec145322..6da735b06 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml @@ -194,19 +194,19 @@ source_names: "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 year: 2018 # temporary - "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + "EPA_GHGI_T_4_135": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_135 year: 2018 # temporary - "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + "EPA_GHGI_T_4_127": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants attribution_source: BEA_Detail_Use_SUT: <<: *bea @@ -214,7 +214,7 @@ source_names: ActivityProducedBy: {'333415': ''} # Air conditioning equipment air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning attribution_source: BEA_Detail_Use_SUT: <<: *bea @@ -222,7 +222,7 @@ source_names: ActivityProducedBy: {'333415': ''} # Air conditioning equipment foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams attribution_source: BEA_Detail_Use_SUT: <<: *bea @@ -235,11 +235,11 @@ source_names: "EPA_GHGI_T_A_92": # HFCs from Transportation !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_100": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + "EPA_GHGI_T_4_103": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year - "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 + "EPA_GHGI_T_4_109": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_109 year: *ghgi_year "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml index 029cbfb4b..79fc923eb 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml @@ -408,22 +408,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 year: 2018 # temporary - EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 + EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_135 year: 2018 # temporary - EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 + EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_100: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 + EPA_GHGI_T_4_103: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml index 9a3039b7a..5ef340549 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml @@ -167,42 +167,42 @@ source_names: "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + "EPA_GHGI_T_4_135": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + "EPA_GHGI_T_4_127": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants attribution_source: Detail_Use_2018: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning attribution_source: Detail_Use_2018: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams attribution_source: Detail_Use_2018: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams:attribution_source:Detail_Use_YEAR "EPA_GHGI_T_A_92": # HFCs from Transportation !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_100": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + "EPA_GHGI_T_4_103": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year - "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 + "EPA_GHGI_T_4_109": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_109 year: *ghgi_year "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml index 0fa672948..bff08513e 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml @@ -351,22 +351,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 + EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 + EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_100: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 + EPA_GHGI_T_4_103: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml index 91f8582a0..54fef0c48 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml @@ -167,42 +167,42 @@ source_names: "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + "EPA_GHGI_T_4_135": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + "EPA_GHGI_T_4_127": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants attribution_source: Detail_Use_2019: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning attribution_source: Detail_Use_2019: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams attribution_source: Detail_Use_2019: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams:attribution_source:Detail_Use_YEAR "EPA_GHGI_T_A_92": # HFCs from Transportation !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_100": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + "EPA_GHGI_T_4_103": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year - "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 + "EPA_GHGI_T_4_109": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_109 year: *ghgi_year "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml index f8983913a..8918f56d7 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml @@ -351,22 +351,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 + EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 + EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_100: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 + EPA_GHGI_T_4_103: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml index 458fa91f7..89e387fa4 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml @@ -167,42 +167,42 @@ source_names: "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + "EPA_GHGI_T_4_135": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + "EPA_GHGI_T_4_127": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants attribution_source: Detail_Use_2020: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning attribution_source: Detail_Use_2020: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams attribution_source: Detail_Use_2020: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams:attribution_source:Detail_Use_YEAR "EPA_GHGI_T_A_92": # HFCs from Transportation !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_100": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + "EPA_GHGI_T_4_103": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year - "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 + "EPA_GHGI_T_4_109": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_109 year: *ghgi_year "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml index a9426e032..18159f7f5 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml @@ -352,22 +352,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 + EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 + EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_100: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 + EPA_GHGI_T_4_103: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml index b00b9d7ef..fdce2ba2c 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml @@ -167,42 +167,42 @@ source_names: "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + "EPA_GHGI_T_4_135": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + "EPA_GHGI_T_4_127": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants attribution_source: Detail_Use_2021: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning attribution_source: Detail_Use_2021: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams attribution_source: Detail_Use_2021: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams:attribution_source:Detail_Use_YEAR "EPA_GHGI_T_A_92": # HFCs from Transportation !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_100": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + "EPA_GHGI_T_4_103": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year - "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 + "EPA_GHGI_T_4_109": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_109 year: *ghgi_year "EPA_GHGI_T_3_24b": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml index fdd0f179a..d3ba04820 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml @@ -352,22 +352,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 + EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 + EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_100: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 + EPA_GHGI_T_4_103: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml index 39beea39b..742efcc8e 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml @@ -167,42 +167,42 @@ source_names: "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - "EPA_GHGI_T_4_118": # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - "EPA_GHGI_T_4_132": # SF6 and PFCs from Other Product Use - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + "EPA_GHGI_T_4_135": # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - "EPA_GHGI_T_4_124": # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + "EPA_GHGI_T_4_127": # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year activity_sets: # Update BEA year for some activity_sets - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets refrigerants: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants attribution_source: Detail_Use_2022: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants:attribution_source:Detail_Use_YEAR air_conditioning: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning attribution_source: Detail_Use_2022: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning:attribution_source:Detail_Use_YEAR foams: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams attribution_source: Detail_Use_2022: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:foams:attribution_source:Detail_Use_YEAR + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams:attribution_source:Detail_Use_YEAR "EPA_GHGI_T_A_92": # HFCs from Transportation !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - "EPA_GHGI_T_4_100": # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + "EPA_GHGI_T_4_103": # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year - "EPA_GHGI_T_4_106": # HFCs, SF6, CO2 from magnesium production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_106 + "EPA_GHGI_T_4_109": # HFCs, SF6, CO2 from magnesium production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_109 year: *ghgi_year "EPA_GHGI_T_3_24": #Fossil fuel for non-energy uses !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml index 8d47e4378..876db4a84 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml @@ -352,22 +352,22 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 year: *ghgi_year - EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_118 + EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year - EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_132 + EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_135 year: *ghgi_year - EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_124 + EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year EPA_GHGI_T_A_92: # HFCs from Transportation !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 year: *ghgi_year - EPA_GHGI_T_4_100: # PFCs from aluminum production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_100 + EPA_GHGI_T_4_103: # PFCs from aluminum production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_103 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml index 3d968ff6a..9f5abbebe 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml @@ -685,23 +685,23 @@ source_names: FlowName: ["Other PFCs", "Other HFCs"] attribution_method: direct - EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture + EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture # year: # override with ghgi_year fedefl_mapping: GHGI_AR5_100 selection_fields: PrimaryActivity: Electronics Production attribution_method: direct - EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use + EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use # year: # override with ghgi_year fedefl_mapping: GHGI_AR5_100 attribution_method: direct - EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes + EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes clean_fba_before_activity_sets: !script_function:EPA_GHGI split_HFCs_by_type clean_parameter: # Proportions of specific HFCs are assigned based on national total - flow_fba: EPA_GHGI_T_4_122 + flow_fba: EPA_GHGI_T_4_125 # year: # override with ghgi_year fedefl_mapping: GHGI_AR5_100 activity_sets: @@ -751,7 +751,7 @@ source_names: clean_fba_before_mapping: !script_function:EPA_GHGI split_HFCs_by_type clean_parameter: # Proportions of specific HFCs are assigned based on national total - flow_fba: EPA_GHGI_T_4_122 + flow_fba: EPA_GHGI_T_4_125 fedefl_mapping: GHGI_AR5_100 selection_fields: PrimaryActivity: @@ -767,7 +767,7 @@ source_names: attribution_method: direct - EPA_GHGI_T_4_100: # PFCs from aluminum production + EPA_GHGI_T_4_103: # PFCs from aluminum production # year: # override with ghgi_year fedefl_mapping: GHGI_AR5_100 selection_fields: @@ -775,7 +775,7 @@ source_names: attribution_method: direct - EPA_GHGI_T_4_106: # HFCs, SF6, CO2 from magnesium production + EPA_GHGI_T_4_109: # HFCs, SF6, CO2 from magnesium production # year: # override with ghgi_year fedefl_mapping: GHGI_AR5_100 selection_fields: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml index 285696f34..f2a5c48bd 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml @@ -460,7 +460,7 @@ source_names: refrigerants: selection_fields: - MetaSources: 'EPA_GHGI_T_4_124.refrigerants' + MetaSources: 'EPA_GHGI_T_4_127.refrigerants' attribution_method: proportional attribution_source: Detail_Use_YEAR: ## Update year @@ -469,7 +469,7 @@ source_names: air_conditioning: selection_fields: - MetaSources: 'EPA_GHGI_T_4_124.air_conditioning' + MetaSources: 'EPA_GHGI_T_4_127.air_conditioning' attribution_method: proportional attribution_source: Detail_Use_YEAR: ## Update year @@ -478,7 +478,7 @@ source_names: foams: selection_fields: - MetaSources: 'EPA_GHGI_T_4_124.foams' + MetaSources: 'EPA_GHGI_T_4_127.foams' attribution_method: proportional attribution_source: Detail_Use_YEAR: ## Update year @@ -490,7 +490,7 @@ source_names: magnesium: selection_fields: - MetaSources: 'EPA_GHGI_T_4_106' + MetaSources: 'EPA_GHGI_T_4_109' attribution_method: proportional attribution_source: BEA_Detail_GrossOutput_IO: @@ -602,20 +602,20 @@ source_names: EPA_GHGI_T_4_62: # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 - EPA_GHGI_T_4_118: # HFCs and other emissions from electronics manufacture - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_118 + EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 - EPA_GHGI_T_4_132: # SF6 and PFCs from Other Product Use - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_132 + EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_135 - EPA_GHGI_T_4_124: # HFCs and PFCs from ODS Substitutes - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124 + EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127 activity_sets: households: - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_124:activity_sets:households + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:households EPA_GHGI_T_A_92: # HFCs from Transportation !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 - EPA_GHGI_T_4_100: # PFCs from aluminum production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_100 + EPA_GHGI_T_4_103: # PFCs from aluminum production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 From d38ccfe26e06b11c0156eaef3289c3038490257c Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 8 May 2024 10:03:26 -0400 Subject: [PATCH 47/69] additional table number changes in chapter 4; fix to 4-121 --- flowsa/data_source_scripts/EPA_GHGI.py | 18 +++++++----- .../flowbyactivitymethods/EPA_GHGI.yaml | 29 ++++++++++--------- .../GHG_national_2012_m1.yaml | 16 +++++----- .../GHG_national_2012_m2.yaml | 16 +++++----- .../GHG_national_2013_m1.yaml | 16 +++++----- .../GHG_national_2013_m2.yaml | 16 +++++----- .../GHG_national_2014_m1.yaml | 16 +++++----- .../GHG_national_2014_m2.yaml | 16 +++++----- .../GHG_national_2015_m1.yaml | 16 +++++----- .../GHG_national_2015_m2.yaml | 16 +++++----- .../GHG_national_2016_m1.yaml | 16 +++++----- .../GHG_national_2016_m2.yaml | 16 +++++----- .../GHG_national_2017_m1.yaml | 16 +++++----- .../GHG_national_2017_m2.yaml | 16 +++++----- .../GHG_national_2018_m1.yaml | 16 +++++----- .../GHG_national_2018_m2.yaml | 16 +++++----- .../GHG_national_2019_m1.yaml | 16 +++++----- .../GHG_national_2019_m2.yaml | 16 +++++----- .../GHG_national_2020_m1.yaml | 16 +++++----- .../GHG_national_2020_m2.yaml | 16 +++++----- .../GHG_national_2021_m1.yaml | 16 +++++----- .../GHG_national_2021_m2.yaml | 16 +++++----- .../GHG_national_2022_m1.yaml | 16 +++++----- .../GHG_national_2022_m2.yaml | 16 +++++----- .../GHG_national_m1_common.yaml | 8 ++--- .../GHG_national_m2_common.yaml | 16 +++++----- 26 files changed, 213 insertions(+), 210 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index 85950b7f2..1529435c4 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -197,11 +197,10 @@ def ghg_call(*, resp, url, year, config, **_): log.error(f"error reading {table}") continue - if table in ['3-10', '5-28', 'A-71', 'A-92']: - # Skip single row - df=pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", + if table in ['4-121']: + # Skip two rows + df=pd.read_csv(data, skiprows=2, encoding="ISO-8859-1", thousands=",", decimal=".") - df=df.rename(columns={'2010a': '2010'}) # Check year 2010 elif table == "3-24": # Skip first row, but make headers the next 2 rows: df=pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", @@ -239,7 +238,7 @@ def ghg_call(*, resp, url, year, config, **_): df["SourceName"]=f"EPA_GHGI_T_{table.replace('-', '_')}" frames.append(df) else: - log.warning(f"Error in generating {table}") + log.warning(f"Error accessing {table}") return frames @@ -700,9 +699,12 @@ def ghg_parse(*, df_list, year, config, **_): df = df.loc[:, ~df.columns.duplicated()] # Remove commas from numbers again in case any were missed: - df["FlowAmount"].replace(',', '', regex=True, inplace=True) - cleaned_list.append(df) -# export to csv and check + df["FlowAmount"] = df["FlowAmount"].replace(',', '', regex=True) + if len(df) == 0: + log.warning(f"Error processing {table_name}") + else: + cleaned_list.append(df) + return cleaned_list diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index 35aa5240b..b3be75bbb 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -31,14 +31,14 @@ years: # Special table lists # Flows as group headers -multi_chem_names: ["2-1", "3-116", "4-53", "5-6", "5-28"] +multi_chem_names: ["2-1", "3-116", "4-55", "5-6", "5-28"] source_No_activity: ["3-24", "3-24b"] # Handle tables with 1 parent level category source_activity_1: ["3-7", "3-8", "3-9", "5-17", "5-18"] source_activity_1_fuel: ["3-13", "3-14", "3-15"] # Tables with sub categories source_activity_2: ["3-44", "3-73", "A-92"] -rows_as_flows: ["4-61", "4-62", "4-103", "4-109", "4-121", "4-125"] +rows_as_flows: ["4-63", "4-64", "4-103", "4-109", "4-121", "4-125"] Tables: "Ch 2 - Trends in Greenhouse Gas Emissions and Removals": @@ -174,19 +174,20 @@ Tables: "flow": "CO2" "desc": "Table 4-16: CO2 Emissions from Other Process Uses of Carbonates (MMT CO2 Eq.)" - "4-37": # Emissions captured in 2-1 + "4-39": # Emissions captured in 2-1 "class": "Chemicals" "compartment": "air" "flow": "N2O" "activity": "Caprolactam Production" - "desc": "Table 4-37: N2O Emissions from Caprolactam Production (MMT CO2 Eq.)" + "desc": "Table 4-39: N2O Emissions from Caprolactam Production (MMT CO2 Eq.)" "unit": "MMT CO2e" - "4-57": + + "4-59": "class": "Chemicals" "compartment": "air" "flow": "HFC-23" "activity": "HCFC-22 Production" - "desc": "Table 4-57: HFC-23 Emissions from HCFC-22 Production (MMT CO2 Eq.)" + "desc": "Table 4-59: HFC-23 Emissions from HCFC-22 Production (MMT CO2 Eq.)" "unit": "MMT CO2e" "4-103": @@ -196,32 +197,32 @@ Tables: "activity": "Aluminum Production" "desc": "Table 4-103: PFC Emissions from Aluminum Production (MMT CO2 Eq.)" - "4-53": + "4-55": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "CO2e" "activity": - "desc": "Table 4-53: CO2 and CH4 Emissions from Petrochemical Production (MMT CO2 Eq.)" + "desc": "Table 4-55: CO2 and CH4 Emissions from Petrochemical Production (MMT CO2 Eq.)" - "4-55": # Not a primary emissions datasource + "4-57": # Not a primary emissions datasource "class": "Other" "unit": "kt" - "desc": "Table 4-55: Production of Selected Petrochemicals (kt)" + "desc": "Table 4-57: Production of Selected Petrochemicals (kt)" - "4-61": + "4-63": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "activity": "Fluorochemical Production" - "desc": "Table 4-61: Emissions of HFCs, PFCs, SF6, and NF3 from production of Fluorochemicals Other Than HCFC-22 (MMT CO2 Eq.)" + "desc": "Table 4-63: Emissions of HFCs, PFCs, SF6, and NF3 from production of Fluorochemicals Other Than HCFC-22 (MMT CO2 Eq.)" - "4-62": + "4-64": "class": "Chemicals" "unit": "MT" "compartment": "air" "activity": "Fluorochemical Production" - "desc": "Table 4-62: Emissions of HFCs, PFCs, SF6, and NF3 from production of Fluorochemicals Other Than HCFC-22 (Metric Tons)" + "desc": "Table 4-64: Emissions of HFCs, PFCs, SF6, and NF3 from production of Fluorochemicals Other Than HCFC-22 (Metric Tons)" "4-109": "class": "Chemicals" diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml index 1312ea09a..90a81f2ea 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml @@ -181,17 +181,17 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + "EPA_GHGI_T_4_55": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year - "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + "EPA_GHGI_T_4_59": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + "EPA_GHGI_T_4_63": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + "EPA_GHGI_T_4_64": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml index fee2129a8..5f5dca638 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml @@ -389,8 +389,8 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_53: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 + EPA_GHGI_T_4_55: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses @@ -398,16 +398,16 @@ source_names: year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_57: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 + EPA_GHGI_T_4_59: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - EPA_GHGI_T_4_62: # Fluorochemical production (in MT) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + EPA_GHGI_T_4_64: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml index e424dbae0..28c695492 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml @@ -173,17 +173,17 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + "EPA_GHGI_T_4_55": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year - "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + "EPA_GHGI_T_4_59": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + "EPA_GHGI_T_4_63": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + "EPA_GHGI_T_4_64": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml index bb43a3f6c..eb102e78e 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml @@ -364,8 +364,8 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_53: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 + EPA_GHGI_T_4_55: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses @@ -373,16 +373,16 @@ source_names: year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_57: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 + EPA_GHGI_T_4_59: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - EPA_GHGI_T_4_62: # Fluorochemical production (in MT) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + EPA_GHGI_T_4_64: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml index 9a32e1b0c..42c56625a 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml @@ -173,17 +173,17 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + "EPA_GHGI_T_4_55": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year - "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + "EPA_GHGI_T_4_59": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + "EPA_GHGI_T_4_63": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + "EPA_GHGI_T_4_64": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml index a447a2b7e..17e48f453 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml @@ -364,8 +364,8 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_53: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 + EPA_GHGI_T_4_55: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses @@ -373,16 +373,16 @@ source_names: year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_57: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 + EPA_GHGI_T_4_59: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - EPA_GHGI_T_4_62: # Fluorochemical production (in MT) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + EPA_GHGI_T_4_64: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml index efea1d398..c82a645f9 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml @@ -173,17 +173,17 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + "EPA_GHGI_T_4_55": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year - "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + "EPA_GHGI_T_4_59": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + "EPA_GHGI_T_4_63": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + "EPA_GHGI_T_4_64": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml index 063707ad0..2b35d76cb 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml @@ -344,8 +344,8 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_53: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 + EPA_GHGI_T_4_55: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses @@ -353,16 +353,16 @@ source_names: year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_57: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 + EPA_GHGI_T_4_59: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - EPA_GHGI_T_4_62: # Fluorochemical production (in MT) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + EPA_GHGI_T_4_64: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml index c9920bb10..b99e035aa 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml @@ -173,17 +173,17 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + "EPA_GHGI_T_4_55": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year - "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + "EPA_GHGI_T_4_59": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + "EPA_GHGI_T_4_63": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + "EPA_GHGI_T_4_64": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml index 376232b2d..05b68c184 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml @@ -344,8 +344,8 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_53: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 + EPA_GHGI_T_4_55: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses @@ -353,16 +353,16 @@ source_names: year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_57: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 + EPA_GHGI_T_4_59: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - EPA_GHGI_T_4_62: # Fluorochemical production (in MT) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + EPA_GHGI_T_4_64: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml index 6da735b06..eaad5f731 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml @@ -182,17 +182,17 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + "EPA_GHGI_T_4_55": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year - "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + "EPA_GHGI_T_4_59": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + "EPA_GHGI_T_4_63": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_63 year: 2018 # temporary - "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + "EPA_GHGI_T_4_64": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_64 year: 2018 # temporary "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml index 79fc923eb..db70c633e 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml @@ -387,8 +387,8 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_53: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 + EPA_GHGI_T_4_55: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses @@ -396,16 +396,16 @@ source_names: year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_57: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 + EPA_GHGI_T_4_59: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_63 year: 2018 # temporary - EPA_GHGI_T_4_62: # Fluorochemical production (in MT) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + EPA_GHGI_T_4_64: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_64 year: 2018 # temporary EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml index 5ef340549..96727ae0e 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml @@ -155,17 +155,17 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + "EPA_GHGI_T_4_55": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year - "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + "EPA_GHGI_T_4_59": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + "EPA_GHGI_T_4_63": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + "EPA_GHGI_T_4_64": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml index bff08513e..0931bd731 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml @@ -330,8 +330,8 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_53: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 + EPA_GHGI_T_4_55: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses @@ -339,16 +339,16 @@ source_names: year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_57: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 + EPA_GHGI_T_4_59: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - EPA_GHGI_T_4_62: # Fluorochemical production (in MT) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + EPA_GHGI_T_4_64: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml index 54fef0c48..05dda36f6 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml @@ -155,17 +155,17 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + "EPA_GHGI_T_4_55": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year - "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + "EPA_GHGI_T_4_59": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + "EPA_GHGI_T_4_63": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + "EPA_GHGI_T_4_64": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml index 8918f56d7..edd8d8fe4 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml @@ -330,8 +330,8 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_53: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 + EPA_GHGI_T_4_55: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses @@ -339,16 +339,16 @@ source_names: year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_57: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 + EPA_GHGI_T_4_59: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - EPA_GHGI_T_4_62: # Fluorochemical production (in MT) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + EPA_GHGI_T_4_64: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml index 89e387fa4..1970e0de0 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml @@ -155,17 +155,17 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + "EPA_GHGI_T_4_55": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year - "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + "EPA_GHGI_T_4_59": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + "EPA_GHGI_T_4_63": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + "EPA_GHGI_T_4_64": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml index 18159f7f5..b1ba87146 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml @@ -331,8 +331,8 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_53: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 + EPA_GHGI_T_4_55: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses @@ -340,16 +340,16 @@ source_names: year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_57: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 + EPA_GHGI_T_4_59: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - EPA_GHGI_T_4_62: # Fluorochemical production (in MT) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + EPA_GHGI_T_4_64: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml index fdce2ba2c..21be3cb11 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml @@ -155,17 +155,17 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + "EPA_GHGI_T_4_55": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year - "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + "EPA_GHGI_T_4_59": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + "EPA_GHGI_T_4_63": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + "EPA_GHGI_T_4_64": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml index d3ba04820..54435ec80 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml @@ -331,8 +331,8 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_53: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 + EPA_GHGI_T_4_55: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year EPA_GHGI_T_3_24b: # Fossil fuel for non-energy uses @@ -340,16 +340,16 @@ source_names: year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_57: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 + EPA_GHGI_T_4_59: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - EPA_GHGI_T_4_62: # Fluorochemical production (in MT) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + EPA_GHGI_T_4_64: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml index 742efcc8e..9a85ca9da 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml @@ -155,17 +155,17 @@ source_names: "EPA_GHGI_T_3_15": *T_3_14 #N2O from mobile combustion duplicates method for CH4 - "EPA_GHGI_T_4_53": #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + "EPA_GHGI_T_4_55": #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year - "EPA_GHGI_T_4_57": # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + "EPA_GHGI_T_4_59": # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - "EPA_GHGI_T_4_61": # Fluorochemical production (in CO2e) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + "EPA_GHGI_T_4_63": # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - "EPA_GHGI_T_4_62": # Fluorochemical production (in MT) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + "EPA_GHGI_T_4_64": # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml index 876db4a84..fb306a6c7 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml @@ -331,8 +331,8 @@ source_names: year: *ghgi_year ## Other sources - EPA_GHGI_T_4_53: #CO2 for selected petrochemicals - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_53 + EPA_GHGI_T_4_55: #CO2 for selected petrochemicals + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_55 year: *ghgi_year EPA_GHGI_T_3_24: # Fossil fuel for non-energy uses @@ -340,16 +340,16 @@ source_names: year: *ghgi_year ## Other Emissions - EPA_GHGI_T_4_57: # HFCs from HCFC-22 production - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_57 + EPA_GHGI_T_4_59: # HFCs from HCFC-22 production + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_59 year: *ghgi_year - EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_61 + EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_63 year: *ghgi_year - EPA_GHGI_T_4_62: # Fluorochemical production (in MT) - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_62 + EPA_GHGI_T_4_64: # Fluorochemical production (in MT) + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_64 year: *ghgi_year EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml index 9f5abbebe..292f7c6f8 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml @@ -576,7 +576,7 @@ source_names: EPA_GHGI_T_3_9: *stationary_combustion # N2O emissions from stationary combustion ## Other sources - EPA_GHGI_T_4_53: #CO2 for selected petrochemicals + EPA_GHGI_T_4_55: #CO2 for selected petrochemicals # year: # override with ghgi_year fedefl_mapping: GHGI_AR5_100 selection_fields: @@ -661,14 +661,14 @@ source_names: SectorProducedBy: {'32411': ''} # purchases of refinery products (324110) ## Other Emissions - EPA_GHGI_T_4_57: # HFCs from HCFC-22 production + EPA_GHGI_T_4_59: # HFCs from HCFC-22 production # year: # override with ghgi_year fedefl_mapping: GHGI_AR5_100 selection_fields: PrimaryActivity: HCFC-22 Production attribution_method: direct - EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) + EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) # year: # override with ghgi_year fedefl_mapping: GHGI_AR5_100 selection_fields: @@ -676,7 +676,7 @@ source_names: FlowName: ["Other PFCs", "Other HFCs"] attribution_method: direct - EPA_GHGI_T_4_62: # Fluorochemical production (in MT) + EPA_GHGI_T_4_64: # Fluorochemical production (in MT) # year: # override with ghgi_year fedefl_mapping: GHGI_AR5_100 selection_fields: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml index f2a5c48bd..60ddfd3c2 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml @@ -583,8 +583,8 @@ source_names: EPA_GHGI_T_3_9: *stationary_combustion # N2O emissions from stationary combustion ## Other sources - EPA_GHGI_T_4_53: #CO2 for selected petrochemicals - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_53 + EPA_GHGI_T_4_55: #CO2 for selected petrochemicals + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_55 GHGI_nonenergy_fossil_fuel_emissions: # Fossil fuel for non-energy uses fedefl_mapping: GHGI_AR5_100 @@ -593,14 +593,14 @@ source_names: !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:coal ## Other Emissions - EPA_GHGI_T_4_57: # HFCs from HCFC-22 production - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_57 + EPA_GHGI_T_4_59: # HFCs from HCFC-22 production + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_59 - EPA_GHGI_T_4_61: # Fluorochemical production (in CO2e) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_61 + EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_63 - EPA_GHGI_T_4_62: # Fluorochemical production (in MT) - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_62 + EPA_GHGI_T_4_64: # Fluorochemical production (in MT) + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_64 EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 From 5885663fbe3ee698bd95982d1cbd67b843d9b7d6 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 8 May 2024 10:52:14 -0400 Subject: [PATCH 48/69] fix error in parsing 3-13 --- flowsa/data_source_scripts/EPA_GHGI.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index 1529435c4..b707c9bf1 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -331,6 +331,7 @@ def strip_char(text): 'Totali': 'Total', 'Othersa': 'Others', 'N?O': 'N2O', + 'Distillate Fuel Oil (Diesel)': 'Distillate Fuel Oil', 'Distillate Fuel Oil (Diesel': 'Distillate Fuel Oil', 'Natural gas': 'Natural Gas', # Fix capitalization inconsistency 'N2O (Semiconductors)': 'N2O', @@ -569,16 +570,15 @@ def ghg_parse(*, df_list, year, config, **_): "Fuel Type/Vehicle Type", "Diesel On-Road", "Alternative Fuel On-Road", "Non-Road", "Gasoline On-Road", "Distillate Fuel Oil", - "Biofuels-Ethanol", "Biofuels-Biodiesel", - "International Bunker Fuels", ] if table_name in source_activity_1: activity_subtotal = activity_subtotal_sector else: activity_subtotal = activity_subtotal_fuel + after_Total = False for index, row in df.iterrows(): apb_value = strip_char(row["ActivityProducedBy"]) - if apb_value in activity_subtotal: + if apb_value in activity_subtotal or after_Total: # set the header apbe_value = apb_value df.loc[index, 'ActivityProducedBy' @@ -595,6 +595,7 @@ def ghg_parse(*, df_list, year, config, **_): ] = f"{apb_txt} {apbe_value}" if apb_value.startswith("Total"): df = df.drop(index) + after_Total = True elif table_name in source_activity_2: bool_apb = False From 64ffee468450567579701270f3edb3701e2eb8bc Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 8 May 2024 11:19:47 -0400 Subject: [PATCH 49/69] update 4-121 to include the specific activities --- .../NAICS_Crosswalk_EPA_GHGI.csv | 3 +++ flowsa/data_source_scripts/EPA_GHGI.py | 13 +++++++++---- flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml | 3 +-- .../flowbysectormethods/GHG_national_m1_common.yaml | 6 +++++- 4 files changed, 18 insertions(+), 7 deletions(-) diff --git a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv index 05bbd9775..12e51b405 100644 --- a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv +++ b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv @@ -281,6 +281,9 @@ EPA_GHGI,Total (All Fuels) Residential,NAICS_2012_Code,F01000,,F0100,EPA_GHGI_T_ EPA_GHGI,HCFC-22 Production,NAICS_2012_Code,325120,,325120,EPA_GHGI_T_4_50 EPA_GHGI,Fluorochemical Production,NAICS_2012_Code,325613,,,EPA_GHGI_T_4_61 EPA_GHGI,Electronics Production,NAICS_2012_Code,334413,,334413,EPA_GHGI_T_4_94 +EPA_GHGI,Semiconductors,NAICS_2012_Code,334413,,,EPA_GHGI_T_4_121 +EPA_GHGI,MEMS,NAICS_2012_Code,334413,,,EPA_GHGI_T_4_121 +EPA_GHGI,PV,NAICS_2012_Code,334413,,,EPA_GHGI_T_4_121 EPA_GHGI,Magnesium Production and Processing,NAICS_2012_Code,331410,,"331410, 331490, 331520",EPA_GHGI_T_4_84 EPA_GHGI,Magnesium Production and Processing,NAICS_2012_Code,33149,,,EPA_GHGI_T_4_84 EPA_GHGI,Magnesium Production and Processing,NAICS_2012_Code,33152,,,EPA_GHGI_T_4_84 diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index b707c9bf1..f5c001757 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -7,6 +7,7 @@ """ import io +import re import zipfile import numpy as np import pandas as pd @@ -334,7 +335,6 @@ def strip_char(text): 'Distillate Fuel Oil (Diesel)': 'Distillate Fuel Oil', 'Distillate Fuel Oil (Diesel': 'Distillate Fuel Oil', 'Natural gas': 'Natural Gas', # Fix capitalization inconsistency - 'N2O (Semiconductors)': 'N2O', 'HGLb': 'HGL', 'Biofuels-Biodieselh' : 'Biofuels-Biodiesel', 'Biofuels-Ethanolh' : 'Biofuels-Ethanol', @@ -660,7 +660,7 @@ def ghg_parse(*, df_list, year, config, **_): df.loc[:, 'FlowType'] = 'TECHNOSPHERE_FLOW' df.loc[:, 'FlowName'] = df.loc[:, 'ActivityProducedBy'] - elif table_name in ["4-135"]: + elif table_name in ["4-121", "4-135"]: df = df.iloc[::-1] # reverse the order for assigning APB for index, row in df.iterrows(): apb_value = strip_char(row["ActivityProducedBy"]) @@ -669,8 +669,13 @@ def ghg_parse(*, df_list, year, config, **_): apbe_value = apb_value.replace('Total ','') df = df.drop(index) else: - df.loc[index, 'ActivityProducedBy'] = apbe_value - df.loc[index, 'FlowName'] = apb_value + if apbe_value == 'N2O': + df.loc[index, 'ActivityProducedBy'] = ( + re.findall(r'\(.*?\)', apb_value)[0][1:-1]) + df.loc[index, 'FlowName'] = 'N2O' + else: + df.loc[index, 'ActivityProducedBy'] = apbe_value + df.loc[index, 'FlowName'] = apb_value df = df.iloc[::-1] # revert the order elif table_name in rows_as_flows: diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index b3be75bbb..f0805286d 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -38,7 +38,7 @@ source_activity_1: ["3-7", "3-8", "3-9", "5-17", "5-18"] source_activity_1_fuel: ["3-13", "3-14", "3-15"] # Tables with sub categories source_activity_2: ["3-44", "3-73", "A-92"] -rows_as_flows: ["4-63", "4-64", "4-103", "4-109", "4-121", "4-125"] +rows_as_flows: ["4-63", "4-64", "4-103", "4-109", "4-125"] Tables: "Ch 2 - Trends in Greenhouse Gas Emissions and Removals": @@ -236,7 +236,6 @@ Tables: "unit": "MMT CO2e" "compartment": "air" "flow": "CO2e" - "activity": "Electronics Production" "desc": "Table 4-121: PFC, HFC, SF6, NF3, and N2O Emissions from Electronics Manufacture (MMT CO2 Eq.)" "4-125": # Used to speciate HFC emissions in 4-127 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml index 292f7c6f8..27c026c30 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml @@ -689,7 +689,11 @@ source_names: # year: # override with ghgi_year fedefl_mapping: GHGI_AR5_100 selection_fields: - PrimaryActivity: Electronics Production + PrimaryActivity: + - Electronics Industry + - Semiconductors + - PV + - MEMS attribution_method: direct EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use From 56c6da4e03e0629c91b1e76a6ee727950e29fce3 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 8 May 2024 11:24:50 -0400 Subject: [PATCH 50/69] drop temporary year update --- .../methods/flowbysectormethods/GHG_national_2017_m1.yaml | 6 +++--- .../methods/flowbysectormethods/GHG_national_2017_m2.yaml | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml index eaad5f731..5d3762a9e 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml @@ -190,16 +190,16 @@ source_names: year: *ghgi_year "EPA_GHGI_T_4_63": # Fluorochemical production (in CO2e) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_63 - year: 2018 # temporary + year: *ghgi_year "EPA_GHGI_T_4_64": # Fluorochemical production (in MT) !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_64 - year: 2018 # temporary + year: *ghgi_year "EPA_GHGI_T_4_121": # HFCs and other emissions from electronics manufacture !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_121 year: *ghgi_year "EPA_GHGI_T_4_135": # SF6 and PFCs from Other Product Use !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_135 - year: 2018 # temporary + year: *ghgi_year "EPA_GHGI_T_4_127": # HFCs and PFCs from ODS Substitutes !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml index db70c633e..5d69b6367 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml @@ -402,11 +402,11 @@ source_names: EPA_GHGI_T_4_63: # Fluorochemical production (in CO2e) !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_63 - year: 2018 # temporary + year: *ghgi_year EPA_GHGI_T_4_64: # Fluorochemical production (in MT) !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_64 - year: 2018 # temporary + year: *ghgi_year EPA_GHGI_T_4_121: # HFCs and other emissions from electronics manufacture !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_121 @@ -414,7 +414,7 @@ source_names: EPA_GHGI_T_4_135: # SF6 and PFCs from Other Product Use !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_135 - year: 2018 # temporary + year: *ghgi_year EPA_GHGI_T_4_127: # HFCs and PFCs from ODS Substitutes !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 From 2912327dac8f2d90d2acb8c0df2782ac91418845 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Thu, 23 May 2024 13:21:17 -0400 Subject: [PATCH 51/69] add 2012-2016 summary tables for 2017 schema --- .../BEA_Detail_GrossOutput_IO_17sch.csv | 806 +++++++++--------- .../BEA_Summary_Supply_2012_17sch.csv | 75 ++ .../BEA_Summary_Supply_2013_17sch.csv | 75 ++ .../BEA_Summary_Supply_2014_17sch.csv | 75 ++ .../BEA_Summary_Supply_2015_17sch.csv | 75 ++ .../BEA_Summary_Supply_2016_17sch.csv | 75 ++ .../BEA_Summary_Use_SUT_2012_17sch.csv | 84 ++ .../BEA_Summary_Use_SUT_2013_17sch.csv | 84 ++ .../BEA_Summary_Use_SUT_2014_17sch.csv | 84 ++ .../BEA_Summary_Use_SUT_2015_17sch.csv | 84 ++ .../BEA_Summary_Use_SUT_2016_17sch.csv | 84 ++ .../Detail_GrossOutput_IO_17sch_metadata.json | 10 +- .../Detail_Supply_2017_17sch_metadata.json | 8 +- .../Detail_Use_SUT_2017_17sch_metadata.json | 8 +- .../Summary_Supply_2012_17sch_metadata.json | 14 + .../Summary_Supply_2013_17sch_metadata.json | 14 + .../Summary_Supply_2014_17sch_metadata.json | 14 + .../Summary_Supply_2015_17sch_metadata.json | 14 + .../Summary_Supply_2016_17sch_metadata.json | 14 + .../Summary_Supply_2017_17sch_metadata.json | 6 +- .../Summary_Supply_2018_17sch_metadata.json | 6 +- .../Summary_Supply_2019_17sch_metadata.json | 6 +- .../Summary_Supply_2020_17sch_metadata.json | 6 +- .../Summary_Supply_2021_17sch_metadata.json | 6 +- .../Summary_Supply_2022_17sch_metadata.json | 6 +- .../Summary_Use_SUT_2012_17sch_metadata.json | 14 + .../Summary_Use_SUT_2013_17sch_metadata.json | 14 + .../Summary_Use_SUT_2014_17sch_metadata.json | 14 + .../Summary_Use_SUT_2015_17sch_metadata.json | 14 + .../Summary_Use_SUT_2016_17sch_metadata.json | 14 + .../Summary_Use_SUT_2017_17sch_metadata.json | 6 +- .../Summary_Use_SUT_2018_17sch_metadata.json | 6 +- .../Summary_Use_SUT_2019_17sch_metadata.json | 6 +- .../Summary_Use_SUT_2020_17sch_metadata.json | 6 +- .../Summary_Use_SUT_2021_17sch_metadata.json | 6 +- .../Summary_Use_SUT_2022_17sch_metadata.json | 6 +- .../BEA_Detail_GrossOutput_IO.yaml | 2 +- .../BEA_Detail_Supply.yaml | 2 +- .../BEA_Detail_Use_SUT.yaml | 2 +- .../BEA_Summary_Supply.yaml | 7 +- .../BEA_Summary_Use_SUT.yaml | 7 +- 41 files changed, 1402 insertions(+), 457 deletions(-) create mode 100644 flowsa/data/external_data/BEA_Summary_Supply_2012_17sch.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Supply_2013_17sch.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Supply_2014_17sch.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Supply_2015_17sch.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Supply_2016_17sch.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2012_17sch.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2013_17sch.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2014_17sch.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2015_17sch.csv create mode 100644 flowsa/data/external_data/BEA_Summary_Use_SUT_2016_17sch.csv create mode 100644 flowsa/data/external_data/Summary_Supply_2012_17sch_metadata.json create mode 100644 flowsa/data/external_data/Summary_Supply_2013_17sch_metadata.json create mode 100644 flowsa/data/external_data/Summary_Supply_2014_17sch_metadata.json create mode 100644 flowsa/data/external_data/Summary_Supply_2015_17sch_metadata.json create mode 100644 flowsa/data/external_data/Summary_Supply_2016_17sch_metadata.json create mode 100644 flowsa/data/external_data/Summary_Use_SUT_2012_17sch_metadata.json create mode 100644 flowsa/data/external_data/Summary_Use_SUT_2013_17sch_metadata.json create mode 100644 flowsa/data/external_data/Summary_Use_SUT_2014_17sch_metadata.json create mode 100644 flowsa/data/external_data/Summary_Use_SUT_2015_17sch_metadata.json create mode 100644 flowsa/data/external_data/Summary_Use_SUT_2016_17sch_metadata.json diff --git a/flowsa/data/external_data/BEA_Detail_GrossOutput_IO_17sch.csv b/flowsa/data/external_data/BEA_Detail_GrossOutput_IO_17sch.csv index 2728b6a57..f7ecb2fae 100644 --- a/flowsa/data/external_data/BEA_Detail_GrossOutput_IO_17sch.csv +++ b/flowsa/data/external_data/BEA_Detail_GrossOutput_IO_17sch.csv @@ -1,403 +1,403 @@ -"","2017","2018","2019","2020","2021","2022" -"1111A0",38216,36985,32812,40790,51037,62551 -"1111B0",57882,59740,58014,58874,89372,102501 -"111200",18806,16580,15611,17107,17388,18646 -"111300",29958,28634,27870,27085,30661,29530 -"111400",19868,22996,23548,23977,25798,27236 -"111900",26575,24829,23483,25522,30867,33321 -"112120",38538,36132,41485,41326,42814,58898 -"1121A0",88052,90279,92771,88584,103925,117448 -"112300",44568,47160,40444,35819,46091,76003 -"112A00",33065,31739,31485,30238,34127,38574 -"113000",18803,19470,18122,20549,26439,27306 -"114000",8929,8409,8480,7582,9795,10840 -"115000",25650,25174,25059,26194,26920,29793 -"211000",253994,346639,317947,210572,417848,639316 -"212100",36917,39124,37722,27154,33321,51850 -"212230",13613,14120,13273,13027,18812,18507 -"2122A0",15940,15862,15850,17755,22669,21245 -"212310",16750,17484,19479,20046,21635,22927 -"2123A0",18631,20316,19825,18265,20123,22694 -"213111",27011,28573,29192,15936,11241,10117 -"21311A",79918,103452,106310,62117,65886,74407 -"221100",389428,422124,423167,400630,486559,559062 -"221200",69553,77506,78619,76843,94302,124543 -"221300",15137,15866,16098,16747,17485,17744 -"230301",201129,208626,217348,219261,245015,270414 -"230302",80563,77045,75446,82225,85683,80195 -"233210",45025,45521,49287,52401,53027,57747 -"233230",63523,65647,73493,68690,74570,104341 -"233240",102085,106696,117431,120412,119088,113599 -"233262",94786,102116,106078,104133,99043,97605 -"2332A0",160242,170459,181419,190570,193784,216348 -"2332C0",135588,146712,156318,158105,153640,166314 -"2332D0",114163,119282,127449,121130,108134,121647 -"233411",254640,275646,266372,293523,408990,433893 -"233412",75093,78771,83388,92193,105801,109319 -"2334A0",251129,265439,279974,304018,337831,363342 -"311111",23289,23896,23629,25085,25113,25626 -"311119",31691,33787,33178,34909,41213,42296 -"311210",16417,17013,17904,18359,19650,22224 -"311221",9747,10320,10088,10077,11690,13277 -"311224",33186,34835,32296,36454,44064,49693 -"311225",9494,10372,10527,9991,14129,15795 -"311230",10141,9902,10019,10080,10206,11570 -"311300",37054,36549,38360,36654,39503,40622 -"311410",32477,32942,33113,34522,35724,36825 -"311420",33528,33055,33221,35338,33985,35804 -"311513",47880,47107,53101,59540,56936,61619 -"311514",23878,23616,23443,22032,23576,25635 -"31151A",43864,45233,46546,47043,48442,52565 -"311520",7789,8123,7982,8530,9479,10326 -"311615",67566,64087,65130,67836,76462,80627 -"31161A",148693,149943,153803,158668,189039,198741 -"311700",13837,13795,14346,13279,14588,15451 -"311810",43201,42104,42754,42983,46178,47547 -"3118A0",26568,26824,28846,29715,30299,31263 -"311910",38990,39109,39853,40563,40297,41606 -"311920",13798,12583,11810,12239,12585,12912 -"311930",11796,11474,11906,11894,11481,11843 -"311940",21767,22411,23879,25179,26395,27183 -"311990",29832,29824,30916,32228,36288,37332 -"312110",45037,44229,45947,45716,46398,48008 -"312120",32469,33624,32632,29815,33278,35138 -"312130",22074,22041,22889,20446,24255,26152 -"312140",16287,18707,20397,20064,21989,23115 -"312200",60770,58934,58227,60508,62060,77319 -"313100",7085,6984,6558,5470,6226,6420 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["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], "date_last_modified": {}, - "date_accessed": ["2024-03-22"] + "date_accessed": ["2024-05-23"] } } diff --git a/flowsa/data/external_data/Summary_Supply_2018_17sch_metadata.json b/flowsa/data/external_data/Summary_Supply_2018_17sch_metadata.json index d5e085f11..c12076290 100644 --- a/flowsa/data/external_data/Summary_Supply_2018_17sch_metadata.json +++ b/flowsa/data/external_data/Summary_Supply_2018_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], "name_data": ["Summary_Supply_2018_17sch"], - "tool_version": ["1.5.0"], + "tool_version": ["1.5.2"], "ext": ["json"], - "date_created": ["2024-03-22"], + "date_created": ["2024-05-23"], "data_meta": { "data_year": [2018], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], "date_last_modified": {}, - "date_accessed": ["2024-03-22"] + "date_accessed": ["2024-05-23"] } } diff --git a/flowsa/data/external_data/Summary_Supply_2019_17sch_metadata.json b/flowsa/data/external_data/Summary_Supply_2019_17sch_metadata.json index b168ab646..e494cde67 100644 --- a/flowsa/data/external_data/Summary_Supply_2019_17sch_metadata.json +++ b/flowsa/data/external_data/Summary_Supply_2019_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], "name_data": ["Summary_Supply_2019_17sch"], - "tool_version": ["1.5.0"], + "tool_version": ["1.5.2"], "ext": ["json"], - "date_created": ["2024-03-22"], + "date_created": ["2024-05-23"], "data_meta": { "data_year": [2019], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], "date_last_modified": {}, - "date_accessed": ["2024-03-22"] + "date_accessed": ["2024-05-23"] } } diff --git a/flowsa/data/external_data/Summary_Supply_2020_17sch_metadata.json b/flowsa/data/external_data/Summary_Supply_2020_17sch_metadata.json index 636f2ca55..dd0d22bad 100644 --- a/flowsa/data/external_data/Summary_Supply_2020_17sch_metadata.json +++ b/flowsa/data/external_data/Summary_Supply_2020_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], "name_data": ["Summary_Supply_2020_17sch"], - "tool_version": ["1.5.0"], + "tool_version": ["1.5.2"], "ext": ["json"], - "date_created": ["2024-03-22"], + "date_created": ["2024-05-23"], "data_meta": { "data_year": [2020], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], "date_last_modified": {}, - "date_accessed": ["2024-03-22"] + "date_accessed": ["2024-05-23"] } } diff --git a/flowsa/data/external_data/Summary_Supply_2021_17sch_metadata.json b/flowsa/data/external_data/Summary_Supply_2021_17sch_metadata.json index ef72fa775..a0a410f24 100644 --- a/flowsa/data/external_data/Summary_Supply_2021_17sch_metadata.json +++ b/flowsa/data/external_data/Summary_Supply_2021_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], "name_data": ["Summary_Supply_2021_17sch"], - "tool_version": ["1.5.0"], + "tool_version": ["1.5.2"], "ext": ["json"], - "date_created": ["2024-03-22"], + "date_created": ["2024-05-23"], "data_meta": { "data_year": [2021], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], "date_last_modified": {}, - "date_accessed": ["2024-03-22"] + "date_accessed": ["2024-05-23"] } } diff --git a/flowsa/data/external_data/Summary_Supply_2022_17sch_metadata.json b/flowsa/data/external_data/Summary_Supply_2022_17sch_metadata.json index 277e91d92..12ea7bc87 100644 --- a/flowsa/data/external_data/Summary_Supply_2022_17sch_metadata.json +++ b/flowsa/data/external_data/Summary_Supply_2022_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], "name_data": ["Summary_Supply_2022_17sch"], - "tool_version": ["1.5.0"], + "tool_version": ["1.5.2"], "ext": ["json"], - "date_created": ["2024-03-22"], + "date_created": ["2024-05-23"], "data_meta": { "data_year": [2022], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], "date_last_modified": {}, - "date_accessed": ["2024-03-22"] + "date_accessed": ["2024-05-23"] } } diff --git a/flowsa/data/external_data/Summary_Use_SUT_2012_17sch_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2012_17sch_metadata.json new file mode 100644 index 000000000..8cb9a808c --- /dev/null +++ b/flowsa/data/external_data/Summary_Use_SUT_2012_17sch_metadata.json @@ -0,0 +1,14 @@ +{ + "tool": ["useeior"], + "name_data": ["Summary_Use_SUT_2012_17sch"], + "tool_version": ["1.5.2"], + "ext": ["json"], + "date_created": ["2024-05-23"], + "data_meta": { + "data_year": [2012], + "author": ["US Bureau of Economic Analysis"], + "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], + "date_last_modified": {}, + "date_accessed": ["2024-05-23"] + } +} diff --git a/flowsa/data/external_data/Summary_Use_SUT_2013_17sch_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2013_17sch_metadata.json new file mode 100644 index 000000000..9082177c3 --- /dev/null +++ b/flowsa/data/external_data/Summary_Use_SUT_2013_17sch_metadata.json @@ -0,0 +1,14 @@ +{ + "tool": ["useeior"], + "name_data": ["Summary_Use_SUT_2013_17sch"], + "tool_version": ["1.5.2"], + "ext": ["json"], + "date_created": ["2024-05-23"], + "data_meta": { + "data_year": [2013], + "author": ["US Bureau of Economic Analysis"], + "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], + "date_last_modified": {}, + "date_accessed": ["2024-05-23"] + } +} diff --git a/flowsa/data/external_data/Summary_Use_SUT_2014_17sch_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2014_17sch_metadata.json new file mode 100644 index 000000000..95055293e --- /dev/null +++ b/flowsa/data/external_data/Summary_Use_SUT_2014_17sch_metadata.json @@ -0,0 +1,14 @@ +{ + "tool": ["useeior"], + "name_data": ["Summary_Use_SUT_2014_17sch"], + "tool_version": ["1.5.2"], + "ext": ["json"], + "date_created": ["2024-05-23"], + "data_meta": { + "data_year": [2014], + "author": ["US Bureau of Economic Analysis"], + "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], + "date_last_modified": {}, + "date_accessed": ["2024-05-23"] + } +} diff --git a/flowsa/data/external_data/Summary_Use_SUT_2015_17sch_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2015_17sch_metadata.json new file mode 100644 index 000000000..814e9fe4c --- /dev/null +++ b/flowsa/data/external_data/Summary_Use_SUT_2015_17sch_metadata.json @@ -0,0 +1,14 @@ +{ + "tool": ["useeior"], + "name_data": ["Summary_Use_SUT_2015_17sch"], + "tool_version": ["1.5.2"], + "ext": ["json"], + "date_created": ["2024-05-23"], + "data_meta": { + "data_year": [2015], + "author": ["US Bureau of Economic Analysis"], + "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], + "date_last_modified": {}, + "date_accessed": ["2024-05-23"] + } +} diff --git a/flowsa/data/external_data/Summary_Use_SUT_2016_17sch_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2016_17sch_metadata.json new file mode 100644 index 000000000..4401b6f07 --- /dev/null +++ b/flowsa/data/external_data/Summary_Use_SUT_2016_17sch_metadata.json @@ -0,0 +1,14 @@ +{ + "tool": ["useeior"], + "name_data": ["Summary_Use_SUT_2016_17sch"], + "tool_version": ["1.5.2"], + "ext": ["json"], + "date_created": ["2024-05-23"], + "data_meta": { + "data_year": [2016], + "author": ["US Bureau of Economic Analysis"], + "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], + "date_last_modified": {}, + "date_accessed": ["2024-05-23"] + } +} diff --git a/flowsa/data/external_data/Summary_Use_SUT_2017_17sch_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2017_17sch_metadata.json index 03c353c95..524dbfea3 100644 --- a/flowsa/data/external_data/Summary_Use_SUT_2017_17sch_metadata.json +++ b/flowsa/data/external_data/Summary_Use_SUT_2017_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], "name_data": ["Summary_Use_SUT_2017_17sch"], - "tool_version": ["1.5.0"], + "tool_version": ["1.5.2"], "ext": ["json"], - "date_created": ["2024-03-22"], + "date_created": ["2024-05-23"], "data_meta": { "data_year": [2017], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], "date_last_modified": {}, - "date_accessed": ["2024-03-22"] + "date_accessed": ["2024-05-23"] } } diff --git a/flowsa/data/external_data/Summary_Use_SUT_2018_17sch_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2018_17sch_metadata.json index 939ed8b0d..7febbefea 100644 --- a/flowsa/data/external_data/Summary_Use_SUT_2018_17sch_metadata.json +++ b/flowsa/data/external_data/Summary_Use_SUT_2018_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], "name_data": ["Summary_Use_SUT_2018_17sch"], - "tool_version": ["1.5.0"], + "tool_version": ["1.5.2"], "ext": ["json"], - "date_created": ["2024-03-22"], + "date_created": ["2024-05-23"], "data_meta": { "data_year": [2018], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], "date_last_modified": {}, - "date_accessed": ["2024-03-22"] + "date_accessed": ["2024-05-23"] } } diff --git a/flowsa/data/external_data/Summary_Use_SUT_2019_17sch_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2019_17sch_metadata.json index 7672cc7aa..7149e970e 100644 --- a/flowsa/data/external_data/Summary_Use_SUT_2019_17sch_metadata.json +++ b/flowsa/data/external_data/Summary_Use_SUT_2019_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], "name_data": ["Summary_Use_SUT_2019_17sch"], - "tool_version": ["1.5.0"], + "tool_version": ["1.5.2"], "ext": ["json"], - "date_created": ["2024-03-22"], + "date_created": ["2024-05-23"], "data_meta": { "data_year": [2019], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], "date_last_modified": {}, - "date_accessed": ["2024-03-22"] + "date_accessed": ["2024-05-23"] } } diff --git a/flowsa/data/external_data/Summary_Use_SUT_2020_17sch_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2020_17sch_metadata.json index 94497f937..0ed0d4075 100644 --- a/flowsa/data/external_data/Summary_Use_SUT_2020_17sch_metadata.json +++ b/flowsa/data/external_data/Summary_Use_SUT_2020_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], "name_data": ["Summary_Use_SUT_2020_17sch"], - "tool_version": ["1.5.0"], + "tool_version": ["1.5.2"], "ext": ["json"], - "date_created": ["2024-03-22"], + "date_created": ["2024-05-23"], "data_meta": { "data_year": [2020], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], "date_last_modified": {}, - "date_accessed": ["2024-03-22"] + "date_accessed": ["2024-05-23"] } } diff --git a/flowsa/data/external_data/Summary_Use_SUT_2021_17sch_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2021_17sch_metadata.json index 6f3a2c528..1f988f78f 100644 --- a/flowsa/data/external_data/Summary_Use_SUT_2021_17sch_metadata.json +++ b/flowsa/data/external_data/Summary_Use_SUT_2021_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], "name_data": ["Summary_Use_SUT_2021_17sch"], - "tool_version": ["1.5.0"], + "tool_version": ["1.5.2"], "ext": ["json"], - "date_created": ["2024-03-22"], + "date_created": ["2024-05-23"], "data_meta": { "data_year": [2021], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], "date_last_modified": {}, - "date_accessed": ["2024-03-22"] + "date_accessed": ["2024-05-23"] } } diff --git a/flowsa/data/external_data/Summary_Use_SUT_2022_17sch_metadata.json b/flowsa/data/external_data/Summary_Use_SUT_2022_17sch_metadata.json index a1cadebaf..efe4633f1 100644 --- a/flowsa/data/external_data/Summary_Use_SUT_2022_17sch_metadata.json +++ b/flowsa/data/external_data/Summary_Use_SUT_2022_17sch_metadata.json @@ -1,14 +1,14 @@ { "tool": ["useeior"], "name_data": ["Summary_Use_SUT_2022_17sch"], - "tool_version": ["1.5.0"], + "tool_version": ["1.5.2"], "ext": ["json"], - "date_created": ["2024-03-22"], + "date_created": ["2024-05-23"], "data_meta": { "data_year": [2022], "author": ["US Bureau of Economic Analysis"], "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], "date_last_modified": {}, - "date_accessed": ["2024-03-22"] + "date_accessed": ["2024-05-23"] } } diff --git a/flowsa/methods/flowbyactivitymethods/BEA_Detail_GrossOutput_IO.yaml b/flowsa/methods/flowbyactivitymethods/BEA_Detail_GrossOutput_IO.yaml index aa216e9e1..8c1904aaf 100644 --- a/flowsa/methods/flowbyactivitymethods/BEA_Detail_GrossOutput_IO.yaml +++ b/flowsa/methods/flowbyactivitymethods/BEA_Detail_GrossOutput_IO.yaml @@ -1,7 +1,7 @@ author: U.S. Bureau of Economic Analysis source_name: Gross Output by Industry - Detail source_url: https://www.bea.gov/data/industries/gross-output-by-industry -original_data_download_date: 2023-09-06 +original_data_download_date: 2024-05-23 bib_id: BEA_GDP format: csv url: None diff --git a/flowsa/methods/flowbyactivitymethods/BEA_Detail_Supply.yaml b/flowsa/methods/flowbyactivitymethods/BEA_Detail_Supply.yaml index e6b34cb18..8bb909a39 100644 --- a/flowsa/methods/flowbyactivitymethods/BEA_Detail_Supply.yaml +++ b/flowsa/methods/flowbyactivitymethods/BEA_Detail_Supply.yaml @@ -1,7 +1,7 @@ author: U.S. Bureau of Economic Analysis source_name: Detail Supply source_url: 'https://www.bea.gov/industry/input-output-accounts-data#supplemental-estimate-tables' -original_data_download_date: '2024-03-21' +original_data_download_date: '2024-05-23' bib_id: BEA_Detail_Supply format: csv url: None diff --git a/flowsa/methods/flowbyactivitymethods/BEA_Detail_Use_SUT.yaml b/flowsa/methods/flowbyactivitymethods/BEA_Detail_Use_SUT.yaml index 976742678..0f5de6087 100644 --- a/flowsa/methods/flowbyactivitymethods/BEA_Detail_Use_SUT.yaml +++ b/flowsa/methods/flowbyactivitymethods/BEA_Detail_Use_SUT.yaml @@ -1,7 +1,7 @@ author: U.S. Bureau of Economic Analysis source_name: Detail Use SUT source_url: 'https://www.bea.gov/industry/input-output-accounts-data#supplemental-estimate-tables' -original_data_download_date: '2024-03-21' +original_data_download_date: '2024-05-23' bib_id: BEA_Detail_Use_SUT format: csv url: None diff --git a/flowsa/methods/flowbyactivitymethods/BEA_Summary_Supply.yaml b/flowsa/methods/flowbyactivitymethods/BEA_Summary_Supply.yaml index 8eb652f29..0dfa6220c 100644 --- a/flowsa/methods/flowbyactivitymethods/BEA_Summary_Supply.yaml +++ b/flowsa/methods/flowbyactivitymethods/BEA_Summary_Supply.yaml @@ -1,12 +1,17 @@ author: U.S. Bureau of Economic Analysis source_name: Summary Supply source_url: 'https://www.bea.gov/industry/input-output-accounts-data#supplemental-estimate-tables' -original_data_download_date: '2024-03-21' +original_data_download_date: '2024-05-23' bib_id: BEA_Summary_Supply format: csv url: None parse_response_fxn: !script_function:BEA bea_parse years: + - 2012 + - 2013 + - 2014 + - 2015 + - 2016 - 2017 - 2018 - 2019 diff --git a/flowsa/methods/flowbyactivitymethods/BEA_Summary_Use_SUT.yaml b/flowsa/methods/flowbyactivitymethods/BEA_Summary_Use_SUT.yaml index b3bd95873..033b4e26d 100644 --- a/flowsa/methods/flowbyactivitymethods/BEA_Summary_Use_SUT.yaml +++ b/flowsa/methods/flowbyactivitymethods/BEA_Summary_Use_SUT.yaml @@ -1,12 +1,17 @@ author: U.S. Bureau of Economic Analysis source_name: Summary Use SUT source_url: 'https://www.bea.gov/industry/input-output-accounts-data#supplemental-estimate-tables' -original_data_download_date: '2024-03-21' +original_data_download_date: '2024-05-23' bib_id: BEA_Summary_Use_SUT format: csv url: None parse_response_fxn: !script_function:BEA bea_parse years: + - 2012 + - 2013 + - 2014 + - 2015 + - 2016 - 2017 - 2018 - 2019 From d364a7c36937260bec6f8e1d140f77affac342a8 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Thu, 23 May 2024 13:40:53 -0400 Subject: [PATCH 52/69] update notes for pulling BEA data --- scripts/write_BEA_data_from_useeior.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/scripts/write_BEA_data_from_useeior.py b/scripts/write_BEA_data_from_useeior.py index 1c6b9ace8..766d46ff5 100644 --- a/scripts/write_BEA_data_from_useeior.py +++ b/scripts/write_BEA_data_from_useeior.py @@ -21,10 +21,10 @@ --- The Detail_Use_SUT_2017 was pulled from -USEEIOR's Detail_Use_SUT_2017_17sch.rda on 3/21/2024. +USEEIOR's Detail_Use_SUT_2017_17sch.rda on 5/23/2024. The original file is found here: -https://github.com/USEPA/useeior/blob/d6a8d0768c44fda6a431a458ab42b45edba8ef4c/data/Detail_Use_SUT_2017_17sch.rda +https://github.com/USEPA/useeior/blob/b7e7fad2a563affc777ece97cc6dab472c749004/data/Detail_Use_SUT_2017_17sch.rda csv obtained by running the following code in Rstudio: use2017 <- get('Detail_Use_SUT_2017_17sch') @@ -48,10 +48,10 @@ --- The Detail_Supply_2017 was pulled from -USEEIOR's Detail_Supply_2017_17sch.rda on 3/21/2024. +USEEIOR's Detail_Supply_2017_17sch.rda on 5/23/2024. The original file is found here: -https://github.com/USEPA/useeior/blob/d6a8d0768c44fda6a431a458ab42b45edba8ef4c/data/Detail_Supply_2017_17sch.rda +https://github.com/USEPA/useeior/blob/b7e7fad2a563affc777ece97cc6dab472c749004/data/Detail_Supply_2017_17sch.rda csv obtained by running the following code in Rstudio: supply2017 <- get('Detail_Supply_2017_17sch') @@ -61,11 +61,11 @@ --- --- -The BEA_Summary_Supply and BEA_Summary_Supply csvs was pulled from -useeior @d6a8d0768c44fda6a431a458ab42b45edba8ef4c using this code +The BEA_Summary_Supply and BEA_Summary_Use_SUT csvs was pulled from +useeior @a1edfcc254575e4ce6c4c23a12bd6140388d1d0d using this code load_all() -for (y in 2017:2022) { +for (y in 2012:2022) { name <- paste0('Summary_Supply_', y, '_17sch') S <- get(name) @@ -78,17 +78,17 @@ } The original files are found here: -https://github.com/USEPA/useeior/tree/d6a8d0768c44fda6a431a458ab42b45edba8ef4c/data +https://github.com/USEPA/useeior/tree/a1edfcc254575e4ce6c4c23a12bd6140388d1d0d/data The metadata were manually copied from useeior/extdata/metadata --- --- The BEA_Detail_GrossOutput was pulled from -USEEIOR's Detail_GrossOutput_IO_17sch.rda on 3/21/2024. +USEEIOR's Detail_GrossOutput_IO_17sch.rda on 5/23/2024. The original file is found here: -https://github.com/USEPA/useeior/blob/d6a8d0768c44fda6a431a458ab42b45edba8ef4c/data/Detail_GrossOutput_IO_17sch.rda +https://github.com/USEPA/useeior/blob/a1edfcc254575e4ce6c4c23a12bd6140388d1d0d/data/Detail_GrossOutput_IO_17sch.rda csv obtained by running the following code in Rstudio: bea <- get('Detail_GrossOutput_IO_17sch') From 0d4140d95c55848c9b19b4e2024a2b53784837da Mon Sep 17 00:00:00 2001 From: Ben Young Date: Thu, 23 May 2024 20:26:33 -0400 Subject: [PATCH 53/69] add 2012 detail SUT tables in 2017 schema --- .../BEA_Detail_Supply_2012_17sch.csv | 404 +++++++++++++++++ .../BEA_Detail_Use_SUT_2012_17sch.csv | 412 ++++++++++++++++++ .../Detail_Supply_2012_17sch_metadata.json | 14 + .../Detail_Use_SUT_2012_17sch_metadata.json | 14 + 4 files changed, 844 insertions(+) create mode 100644 flowsa/data/external_data/BEA_Detail_Supply_2012_17sch.csv create mode 100644 flowsa/data/external_data/BEA_Detail_Use_SUT_2012_17sch.csv create mode 100644 flowsa/data/external_data/Detail_Supply_2012_17sch_metadata.json create mode 100644 flowsa/data/external_data/Detail_Use_SUT_2012_17sch_metadata.json diff --git a/flowsa/data/external_data/BEA_Detail_Supply_2012_17sch.csv b/flowsa/data/external_data/BEA_Detail_Supply_2012_17sch.csv new file mode 100644 index 000000000..309cd4282 --- /dev/null +++ b/flowsa/data/external_data/BEA_Detail_Supply_2012_17sch.csv @@ -0,0 +1,404 @@ 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diff --git a/flowsa/data/external_data/Detail_Supply_2012_17sch_metadata.json b/flowsa/data/external_data/Detail_Supply_2012_17sch_metadata.json new file mode 100644 index 000000000..f903a2363 --- /dev/null +++ b/flowsa/data/external_data/Detail_Supply_2012_17sch_metadata.json @@ -0,0 +1,14 @@ +{ + "tool": ["useeior"], + "name_data": ["Detail_Supply_2012_17sch"], + "tool_version": ["1.5.2"], + "ext": ["json"], + "date_created": ["2024-05-23"], + "data_meta": { + "data_year": [2012], + "author": ["US Bureau of Economic Analysis"], + "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], + "date_last_modified": ["2024-05-20"], + "date_accessed": ["2024-05-23"] + } +} diff --git a/flowsa/data/external_data/Detail_Use_SUT_2012_17sch_metadata.json b/flowsa/data/external_data/Detail_Use_SUT_2012_17sch_metadata.json new file mode 100644 index 000000000..88d97228f --- /dev/null +++ b/flowsa/data/external_data/Detail_Use_SUT_2012_17sch_metadata.json @@ -0,0 +1,14 @@ +{ + "tool": ["useeior"], + "name_data": ["Detail_Use_SUT_2012_17sch"], + "tool_version": ["1.5.2"], + "ext": ["json"], + "date_created": ["2024-05-23"], + "data_meta": { + "data_year": [2012], + "author": ["US Bureau of Economic Analysis"], + "source_url": ["https://apps.bea.gov/industry/iTables%20Static%20Files/AllTablesSUP.zip"], + "date_last_modified": ["2024-05-20"], + "date_accessed": ["2024-05-23"] + } +} From 68774c0ee367a4394952e05a4c66a2b90a6adcd7 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Thu, 23 May 2024 20:53:38 -0400 Subject: [PATCH 54/69] update 2012 - 2016 FBS to use Supply/Use tables consistent with 2017-2022 models; use 2012 detail table as source of disaggregated summary tables --- .../GHG_national_2012_m1.yaml | 55 ++++++++-------- .../GHG_national_2012_m2.yaml | 64 +++++++++---------- .../GHG_national_2013_m1.yaml | 26 +++++--- .../GHG_national_2013_m2.yaml | 26 +++++--- .../GHG_national_2014_m1.yaml | 26 +++++--- .../GHG_national_2014_m2.yaml | 26 +++++--- .../GHG_national_2015_m1.yaml | 26 +++++--- .../GHG_national_2015_m2.yaml | 26 +++++--- .../GHG_national_2016_m1.yaml | 26 +++++--- .../GHG_national_2016_m2.yaml | 26 +++++--- .../GHG_national_2017_m2.yaml | 2 +- .../GHG_national_2018_m2.yaml | 2 +- .../GHG_national_2019_m2.yaml | 2 +- .../GHG_national_2020_m2.yaml | 2 +- .../GHG_national_2021_m2.yaml | 2 +- .../GHG_national_2022_m2.yaml | 2 +- .../GHG_national_m2_common.yaml | 2 +- 17 files changed, 203 insertions(+), 138 deletions(-) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml index 90a81f2ea..6c036fc24 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml @@ -16,13 +16,14 @@ _industrial_allocation_dict: &industrial_dict _attribution_sources: BEA: &bea # 2012 Make and Use tables year: 2012 - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail exclusion_fields: # Drop irrelevant final demand and total sectors ActivityConsumedBy: ['F03000', 'F04000', 'F05000', 'F02E00', 'F06E00', 'F07E00', 'F10E00', 'F02R00', - 'T001', 'T004', 'T007'] - ActivityProducedBy: ['T007'] + 'T001', 'T004', 'T007', 'T019'] + ActivityProducedBy: ['T007', 'T013', 'T015', 'T016', 'TOP', + 'MCIF'] attribution_method: equal source_names: @@ -34,7 +35,7 @@ source_names: electric_power: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:electric_power attribution_source: - BEA_Detail_Make_BeforeRedef: + BEA_Detail_Supply: <<: *bea selection_fields: ActivityConsumedBy: {'221100': ''} # Electricity @@ -42,7 +43,7 @@ source_names: liming: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:liming attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'327400': ''} # Lime @@ -50,7 +51,7 @@ source_names: urea: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'325310': ''} # Fertilizers @@ -58,7 +59,7 @@ source_names: urea_fertilizer: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea_fertilizer attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'325310': ''} # Fertilizers @@ -66,7 +67,7 @@ source_names: carbonate_use: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:carbonate_use attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'325180': ''} # Other Basic Inorganic Chemicals @@ -74,7 +75,7 @@ source_names: nitrous_oxide_use: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:nitrous_oxide_use attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'325120': ''} # Industrial gases @@ -121,7 +122,7 @@ source_names: petroleum_fuels: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_13:activity_sets:petroleum_fuels attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -134,7 +135,7 @@ source_names: petroleum_fuels_diesel: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:petroleum_fuels_diesel attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -142,7 +143,7 @@ source_names: petroleum_fuels_gasoline: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:petroleum_fuels_gasoline attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -150,7 +151,7 @@ source_names: construction_and_mining: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:construction_and_mining attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'333120': ''} # purchases of construction/mining equipment @@ -158,7 +159,7 @@ source_names: farm_non_road: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:farm_non_road attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'333111': ''} # purchases of farm machinery @@ -166,7 +167,7 @@ source_names: other_non_road: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:other_non_road attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -174,7 +175,7 @@ source_names: alt_fuel_on_road: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_14:activity_sets:alt_fuel_on_road attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'221200': ''} # purchases of natural gas @@ -207,7 +208,7 @@ source_names: refrigerants: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:refrigerants attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'333415': ''} # Air conditioning equipment @@ -215,7 +216,7 @@ source_names: air_conditioning: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:air_conditioning attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'333415': ''} # Air conditioning equipment @@ -223,7 +224,7 @@ source_names: foams: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: @@ -260,7 +261,7 @@ source_names: transportation_lubricants: !include:GHG_national_m1_common.yaml:source_names:GHGI_nonenergy_fossil_fuel_emissions:activity_sets:transportation_lubricants attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # use of petroleum products @@ -277,7 +278,7 @@ source_names: non_manufacturing_coal: !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:non_manufacturing_coal attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'212100': ''} # purchases of coal @@ -285,7 +286,7 @@ source_names: non_manufacturing_natural_gas: !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:non_manufacturing_natural_gas attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'221200': ''} # purchases of natural gas @@ -306,7 +307,7 @@ source_names: petroleum: !include:GHG_national_m1_common.yaml:source_names:GHGI_CO2_stationary_combustion:activity_sets:petroleum attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -321,7 +322,7 @@ source_names: electric_power: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:electric_power attribution_source: - BEA_Detail_Make_BeforeRedef: + BEA_Detail_Supply: <<: *bea selection_fields: ActivityConsumedBy: {'221100': ''} # Electricity @@ -329,7 +330,7 @@ source_names: fuel_oil: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:fuel_oil attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -337,7 +338,7 @@ source_names: natural_gas_nonmanufacturing: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:natural_gas_nonmanufacturing attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'221200': ''} # purchases of natural gas @@ -345,7 +346,7 @@ source_names: coal_nonmanufacturing: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:coal_nonmanufacturing attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'212100': ''} # purchases of coal diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml index 5f5dca638..5a7351455 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml @@ -12,7 +12,7 @@ coa_year: &coa_year 2012 _attribution_sources: BEA: &bea # 2012 Make and Use tables year: 2012 - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail exclusion_fields: # Drop irrelevant final demand and total sectors ActivityConsumedBy: ['F03000', 'F04000', 'F05000', 'F02E00', @@ -31,7 +31,7 @@ source_names: liming: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:liming attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'327400': ''} # Lime @@ -39,7 +39,7 @@ source_names: urea: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:urea attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'325310': ''} # Fertilizers @@ -47,7 +47,7 @@ source_names: urea_fertilizer: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:urea_fertilizer attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'325310': ''} # Fertilizers @@ -55,7 +55,7 @@ source_names: carbonate_use: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:carbonate_use attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'325180': ''} # Other Basic Inorganic Chemicals @@ -63,7 +63,7 @@ source_names: nitrous_oxide_use: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:nitrous_oxide_use attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'325120': ''} # Industrial gases @@ -71,7 +71,7 @@ source_names: fertilizer_use: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:fertilizer_use attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'325310': ''} # Fertilizers @@ -79,7 +79,7 @@ source_names: petroleum_fuels: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -87,7 +87,7 @@ source_names: petroleum_fuels_diesel: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels_diesel attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -95,7 +95,7 @@ source_names: petroleum_fuels_gasoline: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_fuels_gasoline attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -103,7 +103,7 @@ source_names: construction_and_mining: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:construction_and_mining attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'333120': ''} # purchases of construction/mining equipment @@ -111,7 +111,7 @@ source_names: farm_non_road: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:farm_non_road attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'333111': ''} # purchases of farm machinery @@ -119,7 +119,7 @@ source_names: other_non_road: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:other_non_road attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -127,7 +127,7 @@ source_names: alt_fuel_on_road: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:alt_fuel_on_road attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'221200': ''} # purchases of natural gas @@ -135,7 +135,7 @@ source_names: non_manufacturing_coal: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:non_manufacturing_coal attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'212100': ''} # purchases of coal @@ -143,7 +143,7 @@ source_names: non_manufacturing_natural_gas: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:non_manufacturing_natural_gas attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'221200': ''} # purchases of natural gas @@ -155,7 +155,7 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing_co2:attribution_source:EIA_MECS_Energy year: *mecs_year attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'212100': ''} # purchases of coal @@ -167,7 +167,7 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_manufacturing:attribution_source:EIA_MECS_Energy year: *mecs_year attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'221200': ''} # purchases of natural gas @@ -175,7 +175,7 @@ source_names: petroleum: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -183,7 +183,7 @@ source_names: electric_power: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:electric_power attribution_source: - BEA_Detail_Make_BeforeRedef: + BEA_Detail_Supply: <<: *bea selection_fields: ActivityConsumedBy: {'221100': ''} # Electricity @@ -191,7 +191,7 @@ source_names: fuel_oil: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:fuel_oil attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -199,7 +199,7 @@ source_names: natural_gas_nonmanufacturing: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_nonmanufacturing attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'221200': ''} # purchases of natural gas @@ -207,7 +207,7 @@ source_names: coal_nonmanufacturing: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_nonmanufacturing attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'212100': ''} # purchases of coal @@ -219,7 +219,7 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:coal_manufacturing:attribution_source:EIA_MECS_Energy year: *mecs_year attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'212100': ''} # purchases of coal @@ -231,7 +231,7 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:ng_manufacturing:attribution_source:EIA_MECS_Energy year: *mecs_year attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'221200': ''} # purchases of natural gas @@ -243,7 +243,7 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:petroleum_neu:attribution_source:EIA_MECS_Energy year: *mecs_year attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -255,7 +255,7 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:natural_gas_neu:attribution_source:EIA_MECS_Energy year: *mecs_year attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'221200': ''} # purchases of natural gas @@ -263,7 +263,7 @@ source_names: transportation_lubricants: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:transportation_lubricants attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'324110': ''} # purchases of refinery products @@ -271,7 +271,7 @@ source_names: refrigerants: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:refrigerants attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'333415': ''} # Air conditioning equipment @@ -279,7 +279,7 @@ source_names: air_conditioning: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:air_conditioning attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: {'333415': ''} # Air conditioning equipment @@ -287,7 +287,7 @@ source_names: foams: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:foams attribution_source: - BEA_Detail_Use_PRO_BeforeRedef: + BEA_Detail_Use_SUT: <<: *bea selection_fields: ActivityProducedBy: @@ -300,7 +300,7 @@ source_names: BEA_Detail_GrossOutput_IO: year: *ghgi_year geoscale: national - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail attribution_method: equal cropland: # allocated based on USDA land area harvested diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml index 28c695492..6de5bafca 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml @@ -15,20 +15,28 @@ _industrial_allocation_dict: &industrial_dict sources_to_cache: Detail_Use_2013: - !include:Detail_Use.yaml + !include:Detail_Use_SUT.yaml year: *ghgi_year source_names: - BEA_Summary_Use_PRO_BeforeRedef: - !include:Detail_Use.yaml:source_names:BEA_Summary_Use_PRO_BeforeRedef + BEA_Summary_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT year: *ghgi_year + attribution_source: + BEA_Detail_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + year: 2012 - Detail_Make_2013: - !include:Detail_Make.yaml + Detail_Supply_2013: + !include:Detail_Supply.yaml year: *ghgi_year source_names: - BEA_Summary_Make_BeforeRedef: - !include:Detail_Make.yaml:source_names:BEA_Summary_Make_BeforeRedef + BEA_Summary_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply year: *ghgi_year + attribution_source: + BEA_Detail_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + year: 2012 source_names: "EPA_GHGI_T_2_1": #U.S. GHG emissions @@ -39,7 +47,7 @@ source_names: electric_power: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:electric_power attribution_source: - Detail_Make_2013: + Detail_Supply_2013: selection_fields: SectorConsumedBy: {'2211': ''} # Electricity @@ -306,7 +314,7 @@ source_names: electric_power: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:electric_power attribution_source: - Detail_Make_2013: + Detail_Supply_2013: selection_fields: SectorConsumedBy: {'2211': ''} # Electricity diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml index eb102e78e..171c7288c 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml @@ -11,20 +11,28 @@ coa_year: &coa_year 2012 sources_to_cache: Detail_Use_2013: - !include:Detail_Use.yaml + !include:Detail_Use_SUT.yaml year: *ghgi_year source_names: - BEA_Summary_Use_PRO_BeforeRedef: - !include:Detail_Use.yaml:source_names:BEA_Summary_Use_PRO_BeforeRedef + BEA_Summary_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT year: *ghgi_year + attribution_source: + BEA_Detail_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + year: 2012 - Detail_Make_2013: - !include:Detail_Make.yaml + Detail_Supply_2013: + !include:Detail_Supply.yaml year: *ghgi_year source_names: - BEA_Summary_Make_BeforeRedef: - !include:Detail_Make.yaml:source_names:BEA_Summary_Make_BeforeRedef + BEA_Summary_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply year: *ghgi_year + attribution_source: + BEA_Detail_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + year: 2012 source_names: GHG_national_2013_m1: # National Summary model @@ -170,7 +178,7 @@ source_names: electric_power: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:electric_power attribution_source: - Detail_Make_2013: + Detail_Supply_2013: selection_fields: SectorConsumedBy: {'2211': ''} # Electricity @@ -275,7 +283,7 @@ source_names: BEA_Detail_GrossOutput_IO: year: *ghgi_year geoscale: national - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail attribution_method: equal cropland: # allocated based on USDA land area harvested diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml index 42c56625a..927568856 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml @@ -15,20 +15,28 @@ _industrial_allocation_dict: &industrial_dict sources_to_cache: Detail_Use_2014: - !include:Detail_Use.yaml + !include:Detail_Use_SUT.yaml year: *ghgi_year source_names: - BEA_Summary_Use_PRO_BeforeRedef: - !include:Detail_Use.yaml:source_names:BEA_Summary_Use_PRO_BeforeRedef + BEA_Summary_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT year: *ghgi_year + attribution_source: + BEA_Detail_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + year: 2012 - Detail_Make_2014: - !include:Detail_Make.yaml + Detail_Supply_2014: + !include:Detail_Supply.yaml year: *ghgi_year source_names: - BEA_Summary_Make_BeforeRedef: - !include:Detail_Make.yaml:source_names:BEA_Summary_Make_BeforeRedef + BEA_Summary_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply year: *ghgi_year + attribution_source: + BEA_Detail_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + year: 2012 source_names: "EPA_GHGI_T_2_1": #U.S. GHG emissions @@ -39,7 +47,7 @@ source_names: electric_power: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:electric_power attribution_source: - Detail_Make_2014: + Detail_Supply_2014: selection_fields: SectorConsumedBy: {'2211': ''} # Electricity @@ -306,7 +314,7 @@ source_names: electric_power: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:electric_power attribution_source: - Detail_Make_2014: + Detail_Supply_2014: selection_fields: SectorConsumedBy: {'2211': ''} # Electricity diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml index 17e48f453..59f7d63a0 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml @@ -11,20 +11,28 @@ coa_year: &coa_year 2012 sources_to_cache: Detail_Use_2014: - !include:Detail_Use.yaml + !include:Detail_Use_SUT.yaml year: *ghgi_year source_names: - BEA_Summary_Use_PRO_BeforeRedef: - !include:Detail_Use.yaml:source_names:BEA_Summary_Use_PRO_BeforeRedef + BEA_Summary_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT year: *ghgi_year + attribution_source: + BEA_Detail_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + year: 2012 - Detail_Make_2014: - !include:Detail_Make.yaml + Detail_Supply_2014: + !include:Detail_Supply.yaml year: *ghgi_year source_names: - BEA_Summary_Make_BeforeRedef: - !include:Detail_Make.yaml:source_names:BEA_Summary_Make_BeforeRedef + BEA_Summary_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply year: *ghgi_year + attribution_source: + BEA_Detail_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + year: 2012 source_names: GHG_national_2014_m1: # National Summary model @@ -170,7 +178,7 @@ source_names: electric_power: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:electric_power attribution_source: - Detail_Make_2014: + Detail_Supply_2014: selection_fields: SectorConsumedBy: {'2211': ''} # Electricity @@ -275,7 +283,7 @@ source_names: BEA_Detail_GrossOutput_IO: year: *ghgi_year geoscale: national - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail attribution_method: equal cropland: # allocated based on USDA land area harvested diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml index c82a645f9..9031ea14c 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml @@ -15,20 +15,28 @@ _industrial_allocation_dict: &industrial_dict sources_to_cache: Detail_Use_2015: - !include:Detail_Use.yaml + !include:Detail_Use_SUT.yaml year: *ghgi_year source_names: - BEA_Summary_Use_PRO_BeforeRedef: - !include:Detail_Use.yaml:source_names:BEA_Summary_Use_PRO_BeforeRedef + BEA_Summary_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT year: *ghgi_year + attribution_source: + BEA_Detail_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + year: 2012 - Detail_Make_2015: - !include:Detail_Make.yaml + Detail_Supply_2015: + !include:Detail_Supply.yaml year: *ghgi_year source_names: - BEA_Summary_Make_BeforeRedef: - !include:Detail_Make.yaml:source_names:BEA_Summary_Make_BeforeRedef + BEA_Summary_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply year: *ghgi_year + attribution_source: + BEA_Detail_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + year: 2012 source_names: "EPA_GHGI_T_2_1": #U.S. GHG emissions @@ -39,7 +47,7 @@ source_names: electric_power: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:electric_power attribution_source: - Detail_Make_2015: + Detail_Supply_2015: selection_fields: SectorConsumedBy: {'2211': ''} # Electricity @@ -304,7 +312,7 @@ source_names: electric_power: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:electric_power attribution_source: - Detail_Make_2015: + Detail_Supply_2015: selection_fields: SectorConsumedBy: {'2211': ''} # Electricity diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml index 2b35d76cb..b1a0ffc3a 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml @@ -11,20 +11,28 @@ mecs_year: &mecs_year 2014 sources_to_cache: Detail_Use_2015: - !include:Detail_Use.yaml + !include:Detail_Use_SUT.yaml year: *ghgi_year source_names: - BEA_Summary_Use_PRO_BeforeRedef: - !include:Detail_Use.yaml:source_names:BEA_Summary_Use_PRO_BeforeRedef + BEA_Summary_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT year: *ghgi_year + attribution_source: + BEA_Detail_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + year: 2012 - Detail_Make_2015: - !include:Detail_Make.yaml + Detail_Supply_2015: + !include:Detail_Supply.yaml year: *ghgi_year source_names: - BEA_Summary_Make_BeforeRedef: - !include:Detail_Make.yaml:source_names:BEA_Summary_Make_BeforeRedef + BEA_Summary_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply year: *ghgi_year + attribution_source: + BEA_Detail_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + year: 2012 source_names: GHG_national_2015_m1: # National Summary model @@ -170,7 +178,7 @@ source_names: electric_power: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:electric_power attribution_source: - Detail_Make_2015: + Detail_Supply_2015: selection_fields: SectorConsumedBy: {'2211': ''} # Electricity @@ -275,7 +283,7 @@ source_names: BEA_Detail_GrossOutput_IO: year: *ghgi_year geoscale: national - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail attribution_method: equal EPA_GHGI_T_2_1: #U.S. GHG emissions diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml index b99e035aa..97a21931a 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml @@ -15,20 +15,28 @@ _industrial_allocation_dict: &industrial_dict sources_to_cache: Detail_Use_2016: - !include:Detail_Use.yaml + !include:Detail_Use_SUT.yaml year: *ghgi_year source_names: - BEA_Summary_Use_PRO_BeforeRedef: - !include:Detail_Use.yaml:source_names:BEA_Summary_Use_PRO_BeforeRedef + BEA_Summary_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT year: *ghgi_year + attribution_source: + BEA_Detail_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + year: 2012 - Detail_Make_2016: - !include:Detail_Make.yaml + Detail_Supply_2016: + !include:Detail_Supply.yaml year: *ghgi_year source_names: - BEA_Summary_Make_BeforeRedef: - !include:Detail_Make.yaml:source_names:BEA_Summary_Make_BeforeRedef + BEA_Summary_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply year: *ghgi_year + attribution_source: + BEA_Detail_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + year: 2012 source_names: "EPA_GHGI_T_2_1": #U.S. GHG emissions @@ -39,7 +47,7 @@ source_names: electric_power: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:electric_power attribution_source: - Detail_Make_2016: + Detail_Supply_2016: selection_fields: SectorConsumedBy: {'2211': ''} # Electricity @@ -304,7 +312,7 @@ source_names: electric_power: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_3_8:activity_sets:electric_power attribution_source: - Detail_Make_2016: + Detail_Supply_2016: selection_fields: SectorConsumedBy: {'2211': ''} # Electricity diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml index 05b68c184..6887f31ce 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml @@ -11,20 +11,28 @@ mecs_year: &mecs_year 2018 sources_to_cache: Detail_Use_2016: - !include:Detail_Use.yaml + !include:Detail_Use_SUT.yaml year: *ghgi_year source_names: - BEA_Summary_Use_PRO_BeforeRedef: - !include:Detail_Use.yaml:source_names:BEA_Summary_Use_PRO_BeforeRedef + BEA_Summary_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT year: *ghgi_year + attribution_source: + BEA_Detail_Use_SUT: + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + year: 2012 - Detail_Make_2016: - !include:Detail_Make.yaml + Detail_Supply_2016: + !include:Detail_Supply.yaml year: *ghgi_year source_names: - BEA_Summary_Make_BeforeRedef: - !include:Detail_Make.yaml:source_names:BEA_Summary_Make_BeforeRedef + BEA_Summary_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply year: *ghgi_year + attribution_source: + BEA_Detail_Supply: + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + year: 2012 source_names: GHG_national_2016_m1: # National Summary model @@ -170,7 +178,7 @@ source_names: electric_power: !include:GHG_national_m2_common.yaml:source_names:GHG_national_m1:activity_sets:electric_power attribution_source: - Detail_Make_2016: + Detail_Supply_2016: selection_fields: SectorConsumedBy: {'2211': ''} # Electricity @@ -275,7 +283,7 @@ source_names: BEA_Detail_GrossOutput_IO: year: *ghgi_year geoscale: national - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail attribution_method: equal EPA_GHGI_T_2_1: #U.S. GHG emissions diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml index 5d69b6367..94cff9d3d 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml @@ -300,7 +300,7 @@ source_names: BEA_Detail_GrossOutput_IO: year: *ghgi_year geoscale: national - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail attribution_method: equal cropland: # allocated based on USDA land area harvested diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml index 0931bd731..9fe195c62 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml @@ -243,7 +243,7 @@ source_names: BEA_Detail_GrossOutput_IO: year: *ghgi_year geoscale: national - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail attribution_method: equal cropland: # allocated based on USDA land area harvested diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml index edd8d8fe4..25e3470d6 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml @@ -243,7 +243,7 @@ source_names: BEA_Detail_GrossOutput_IO: year: *ghgi_year geoscale: national - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail attribution_method: equal cropland: # allocated based on USDA land area harvested diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml index b1ba87146..7fb4fd1d1 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml @@ -244,7 +244,7 @@ source_names: BEA_Detail_GrossOutput_IO: year: *ghgi_year geoscale: national - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail attribution_method: equal cropland: # allocated based on USDA land area harvested diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml index 54435ec80..73ea760fd 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml @@ -244,7 +244,7 @@ source_names: BEA_Detail_GrossOutput_IO: year: *ghgi_year geoscale: national - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail attribution_method: equal cropland: # allocated based on USDA land area harvested diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml index fb306a6c7..c6feaf8d0 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml @@ -244,7 +244,7 @@ source_names: BEA_Detail_GrossOutput_IO: year: *ghgi_year geoscale: national - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail attribution_method: equal cropland: # allocated based on USDA land area harvested diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml index 60ddfd3c2..d7ed591b0 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml @@ -496,7 +496,7 @@ source_names: BEA_Detail_GrossOutput_IO: # year: *ghgi_year geoscale: national - activity_to_sector_mapping: BEA_2012_Detail + activity_to_sector_mapping: BEA_2017_Detail attribution_method: equal ## For tables requiring direct attribution, reattribute the original GHGI From 13722f4b7ef932daef96a531ceeec0b10b98f4f7 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Thu, 23 May 2024 20:58:08 -0400 Subject: [PATCH 55/69] update GO FBA --- flowsa/data/source_catalog.yaml | 2 +- flowsa/data_source_scripts/BEA.py | 2 +- flowsa/methods/flowbysectormethods/Detail_Use.yaml | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/flowsa/data/source_catalog.yaml b/flowsa/data/source_catalog.yaml index f67064425..f77c37c5a 100644 --- a/flowsa/data/source_catalog.yaml +++ b/flowsa/data/source_catalog.yaml @@ -2,7 +2,7 @@ BEA_Detail_GrossOutput_IO: data_format: FBA class: - Money - activity_schema: BEA_2012_Detail_Code + activity_schema: BEA_2017_Detail_Code sector_hierarchy: "flat" BEA_Detail_Make_AfterRedef: data_format: FBA diff --git a/flowsa/data_source_scripts/BEA.py b/flowsa/data_source_scripts/BEA.py index 42d87d4e6..b7f8fc955 100644 --- a/flowsa/data_source_scripts/BEA.py +++ b/flowsa/data_source_scripts/BEA.py @@ -33,7 +33,7 @@ def bea_parse(*, source, year, **_): elif 'Supply' in source: filename = f'{source}_{year}_17sch' else: # GrossOutput_IO - filename = f'{source}_17sch' if int(year) >= 2017 else source + filename = f'{source}_17sch' df = pd.read_csv(externaldatapath / f"{filename}.csv") diff --git a/flowsa/methods/flowbysectormethods/Detail_Use.yaml b/flowsa/methods/flowbysectormethods/Detail_Use.yaml index 41e6ac96b..153bea998 100644 --- a/flowsa/methods/flowbysectormethods/Detail_Use.yaml +++ b/flowsa/methods/flowbysectormethods/Detail_Use.yaml @@ -26,8 +26,8 @@ source_names: year: *summary_year activity_to_sector_mapping: BEA_2012_Summary primary_action_type: Consumed # speeds processing + # Drop unneeded codes - exclusion_fields: exclusion_fields: ActivityConsumedBy: ['F02E', 'F02N', 'F02R', 'F02S', 'F030', 'F040', 'F050', 'F051', 'F06C', 'F06E', 'F06N', 'F06S', From 6b91cca94bfad2313d0d435d5c3b03e77d647cb7 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Thu, 23 May 2024 21:22:31 -0400 Subject: [PATCH 56/69] add 2012 to Detail Supply and Use fba methods --- flowsa/methods/flowbyactivitymethods/BEA_Detail_Supply.yaml | 1 + flowsa/methods/flowbyactivitymethods/BEA_Detail_Use_SUT.yaml | 1 + 2 files changed, 2 insertions(+) diff --git a/flowsa/methods/flowbyactivitymethods/BEA_Detail_Supply.yaml b/flowsa/methods/flowbyactivitymethods/BEA_Detail_Supply.yaml index 8bb909a39..80b732fa4 100644 --- a/flowsa/methods/flowbyactivitymethods/BEA_Detail_Supply.yaml +++ b/flowsa/methods/flowbyactivitymethods/BEA_Detail_Supply.yaml @@ -7,4 +7,5 @@ format: csv url: None parse_response_fxn: !script_function:BEA bea_parse years: + - 2012 - 2017 diff --git a/flowsa/methods/flowbyactivitymethods/BEA_Detail_Use_SUT.yaml b/flowsa/methods/flowbyactivitymethods/BEA_Detail_Use_SUT.yaml index 0f5de6087..1e326461c 100644 --- a/flowsa/methods/flowbyactivitymethods/BEA_Detail_Use_SUT.yaml +++ b/flowsa/methods/flowbyactivitymethods/BEA_Detail_Use_SUT.yaml @@ -7,4 +7,5 @@ format: csv url: None parse_response_fxn: !script_function:BEA bea_parse years: + - 2012 - 2017 From 48790f8d13fce58531754a4ef52ea495b897a50c Mon Sep 17 00:00:00 2001 From: Ben Young Date: Thu, 23 May 2024 22:06:15 -0400 Subject: [PATCH 57/69] fix typo --- flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml | 4 ++-- 8 files changed, 16 insertions(+), 16 deletions(-) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml index 6de5bafca..5244a87ef 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml @@ -23,7 +23,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Use_SUT: - !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_source:BEA_Detail_Use_SUT year: 2012 Detail_Supply_2013: @@ -35,7 +35,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Supply: - !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_source:BEA_Detail_Supply year: 2012 source_names: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml index 171c7288c..af17d1c51 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml @@ -19,7 +19,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Use_SUT: - !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_source:BEA_Detail_Use_SUT year: 2012 Detail_Supply_2013: @@ -31,7 +31,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Supply: - !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_source:BEA_Detail_Supply year: 2012 source_names: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml index 927568856..04feba9c7 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml @@ -23,7 +23,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Use_SUT: - !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_source:BEA_Detail_Use_SUT year: 2012 Detail_Supply_2014: @@ -35,7 +35,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Supply: - !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_source:BEA_Detail_Supply year: 2012 source_names: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml index 59f7d63a0..9585abeb4 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml @@ -19,7 +19,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Use_SUT: - !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_source:BEA_Detail_Use_SUT year: 2012 Detail_Supply_2014: @@ -31,7 +31,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Supply: - !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_source:BEA_Detail_Supply year: 2012 source_names: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml index 9031ea14c..e9db40fef 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml @@ -23,7 +23,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Use_SUT: - !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_source:BEA_Detail_Use_SUT year: 2012 Detail_Supply_2015: @@ -35,7 +35,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Supply: - !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_source:BEA_Detail_Supply year: 2012 source_names: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml index b1a0ffc3a..aa23a1ec1 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml @@ -19,7 +19,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Use_SUT: - !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_source:BEA_Detail_Use_SUT year: 2012 Detail_Supply_2015: @@ -31,7 +31,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Supply: - !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_source:BEA_Detail_Supply year: 2012 source_names: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml index 97a21931a..0210ef843 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml @@ -23,7 +23,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Use_SUT: - !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_source:BEA_Detail_Use_SUT year: 2012 Detail_Supply_2016: @@ -35,7 +35,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Supply: - !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_source:BEA_Detail_Supply year: 2012 source_names: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml index 6887f31ce..11b43c9a3 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml @@ -19,7 +19,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Use_SUT: - !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_sources:BEA_Detail_Use_SUT + !include:Detail_Use_SUT.yaml:source_names:BEA_Summary_Use_SUT:attribution_source:BEA_Detail_Use_SUT year: 2012 Detail_Supply_2016: @@ -31,7 +31,7 @@ sources_to_cache: year: *ghgi_year attribution_source: BEA_Detail_Supply: - !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_sources:BEA_Detail_Supply + !include:Detail_Supply.yaml:source_names:BEA_Summary_Supply:attribution_source:BEA_Detail_Supply year: 2012 source_names: From e5c9b4e4ccc8e121475a44c1ad5fb5976dd00cde Mon Sep 17 00:00:00 2001 From: Ben Young Date: Tue, 28 May 2024 16:03:43 -0400 Subject: [PATCH 58/69] remove old tables --- flowsa/data_source_scripts/EPA_GHGI.py | 2 +- .../flowbyactivitymethods/EPA_GHGI.yaml | 35 ++----------------- 2 files changed, 3 insertions(+), 34 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index f5c001757..c51ee4806 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -685,7 +685,7 @@ def ghg_parse(*, df_list, year, config, **_): df = df[~df['FlowName'].str.contains("Total")] df.loc[:, 'ActivityProducedBy'] = meta.get('activity') - elif table_name in ["4-16", "4-127", "A-95"]: + elif table_name in ["4-16", "4-127"]: # Remove notes from activity names for index, row in df.iterrows(): apb_value = strip_char(row["ActivityProducedBy"].split("(")[0]) diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index f0805286d..2a3833ea2 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -296,18 +296,6 @@ Tables: Annex: "Annex 2": - # "A-4": # Not currently used #DROP - # "class": "Energy" - # "unit": "TBtu" - # "emission_compartment": "air" - # "emission": "CO2" - # "emission_unit": "MMT CO2e" - # "emission_class": "Chemicals" - # "desc": > - # 2020 Energy Consumption Data by Fuel Type (TBtu) - # and Adjusted Energy Consumption Data - # "year": "2020" - "A-5": # Separate emissions table for each year "class": "Energy" "unit": "TBtu" @@ -399,32 +387,13 @@ Annex: "Annex 3": - "A-71": # Allocation datasource + "A-71": # Allocation datasource ## WILL UPDATE TO A-68 "class": "Energy" "unit": "million gallons" "activity": "Fuel Consumption" "desc": "Table A-71: Fuel Consumption by Fuel and Vehicle Type (million gallons unless otherwise specified)" - #"A-70": # Not a primary emissions datasource - # "class": "Chemicals" - # "unit": "kt" - # "compartment": "air" - # "flow": "NOx" - # "desc": "NOx Emissions from Stationary Combustion (kt)" - #"A-71": # Not a primary emissions datasource - # "class": "Chemicals" - # "unit": "kt" - # "compartment": "air" - # "flow": "CO" - # "desc": "CO Emissions from Stationary Combustion (kt)" - #"A-95": # Not a primary emissions datasource - # "class": "Chemicals" - # "unit": "kt" - # "compartment": "air" - # "flow": "NMVOC" - # "desc": "NMVOCs Emissions from Mobile Combustion (kt)" - - "A-92": + "A-92": ## WILL UPDATE TO A-89 "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" From a910648a8bc400e48f9c0ec0635820e90aa2c1fa Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 12 Jun 2024 21:47:23 -0400 Subject: [PATCH 59/69] ensure git version uses tags with 'v' --- flowsa/settings.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/flowsa/settings.py b/flowsa/settings.py index 195caa000..03079ccd5 100644 --- a/flowsa/settings.py +++ b/flowsa/settings.py @@ -50,7 +50,7 @@ def return_pkg_version(): # set path to flowsa repository, necessary if running method files # outside the flowsa repo tags = subprocess.check_output( - ["git", "describe", "--tags", "--always"], + ["git", "describe", "--tags", "--always", "--match", "v[0-9]*"], cwd=MODULEPATH).decode().strip() pkg_version = tags.split("-", 1)[0].replace('v', "") except subprocess.CalledProcessError: From 40d214c122482610d3f2491cc84fb9e93e070e6e Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 12 Jun 2024 21:48:06 -0400 Subject: [PATCH 60/69] update with 2024 annex files --- flowsa/data_source_scripts/EPA_GHGI.py | 145 +++++++++++------- .../flowbyactivitymethods/EPA_GHGI.yaml | 14 +- 2 files changed, 96 insertions(+), 63 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index c51ee4806..9b5f1c93f 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -167,14 +167,14 @@ def ghg_call(*, resp, url, year, config, **_): if any(x in url for x in ['annex', 'Annex']): opath = config['path']['annex'] t_tables = config['Annex'] + annex = True else: opath = config['path']['base'] t_tables = config['Tables'] + annex = False for chapter, tables in t_tables.items(): - # Access chapter specific zip files within the main zip - chapter_name = f'{chapter.rsplit(" - ")[1]}.zip' - zfiledata = io.BytesIO(f.read(chapter_name)) - with zipfile.ZipFile(zfiledata) as f2: + if annex: + # Annex tables are in separate folders for table in tables: df = None tbl_year = tables[table].get('year') @@ -182,56 +182,19 @@ def ghg_call(*, resp, url, year, config, **_): # Skip tables when the year does not align with target year continue table_name = tables[table].get('table_name', table) - path = opath.replace('{table_name}', table_name) - # Handle special case of table 3-24 in external data folder - if table == "3-24b": - if str(year) in ['2022']: - # Skip 3-24b for current year (use 3-24 instead) - continue - else: - df=pd.read_csv(externaldatapath / f"GHGI_Table_{table}.csv", - skiprows=2, encoding="ISO-8859-1", thousands=",") - else: - try: - data=f2.open(path) - except KeyError: - log.error(f"error reading {table}") - continue - - if table in ['4-121']: - # Skip two rows - df=pd.read_csv(data, skiprows=2, encoding="ISO-8859-1", - thousands=",", decimal=".") - elif table == "3-24": - # Skip first row, but make headers the next 2 rows: - df=pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", - header=[0, 1], thousands=",") - # Row 0 is header, row 1 is unit - new_headers=[] - for col in df.columns: - new_header='Unnamed: 0' - if 'Unnamed' not in col[0]: - if 'Unnamed' not in col[1]: - new_header=f'{col[0]} {col[1]}' - else: - new_header=col[0] - else: - new_header=col[1] - new_headers.append(new_header) - df.columns=new_headers - elif table in ANNEX_ENERGY_TABLES: + path = (opath.replace('{table_name}', table_name) + .replace('{annex}', chapter)) + try: + data=f.open(path) + except KeyError: + log.error(f"error reading {table}") + continue + if table in ANNEX_ENERGY_TABLES: df=annex_yearly_tables(data, table) - elif table != '3-24b': - # Except for 3-24b already as df, - # Proceed with default case + else: df=pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", - thousands=",") - - if table == '3-13': - # remove notes from column headers in some years - cols=[c[:4] for c in list(df.columns[1:])] - df=df.rename(columns=dict(zip(df.columns[1:], cols))) - + thousands=",") + if df is not None and len(df.columns) > 1: years=YEARS.copy() years.remove(str(year)) @@ -239,7 +202,76 @@ def ghg_call(*, resp, url, year, config, **_): df["SourceName"]=f"EPA_GHGI_T_{table.replace('-', '_')}" frames.append(df) else: - log.warning(f"Error accessing {table}") + log.warning(f"Error accessing {table}") + + else: + # Access chapter specific zip files within the main zip + chapter_name = f'{chapter.rsplit(" - ")[1]}.zip' + zfiledata = io.BytesIO(f.read(chapter_name)) + with zipfile.ZipFile(zfiledata) as f2: + for table in tables: + df = None + tbl_year = tables[table].get('year') + if tbl_year is not None and tbl_year != year: + # Skip tables when the year does not align with target year + continue + table_name = tables[table].get('table_name', table) + path = opath.replace('{table_name}', table_name) + # Handle special case of table 3-24 in external data folder + if table == "3-24b": + if str(year) in ['2022']: + # Skip 3-24b for current year (use 3-24 instead) + continue + else: + df=pd.read_csv(externaldatapath / f"GHGI_Table_{table}.csv", + skiprows=2, encoding="ISO-8859-1", thousands=",") + else: + try: + data=f2.open(path) + except KeyError: + log.error(f"error reading {table}") + continue + + if table in ['4-121']: + # Skip two rows + df=pd.read_csv(data, skiprows=2, encoding="ISO-8859-1", + thousands=",", decimal=".") + elif table == "3-24": + # Skip first row, but make headers the next 2 rows: + df=pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", + header=[0, 1], thousands=",") + # Row 0 is header, row 1 is unit + new_headers=[] + for col in df.columns: + new_header='Unnamed: 0' + if 'Unnamed' not in col[0]: + if 'Unnamed' not in col[1]: + new_header=f'{col[0]} {col[1]}' + else: + new_header=col[0] + else: + new_header=col[1] + new_headers.append(new_header) + df.columns=new_headers + elif table != '3-24b': + # Except for 3-24b already as df, + # Proceed with default case + df=pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", + thousands=",") + + if table == '3-13': + # remove notes from column headers in some years + cols=[c[:4] for c in list(df.columns[1:])] + df=df.rename(columns=dict(zip(df.columns[1:], cols))) + + if df is not None and len(df.columns) > 1: + years=YEARS.copy() + years.remove(str(year)) + df=df.drop(columns=(DROP_COLS + years), errors='ignore') + df["SourceName"]=f"EPA_GHGI_T_{table.replace('-', '_')}" + frames.append(df) + else: + log.warning(f"Error accessing {table}") return frames @@ -634,7 +666,7 @@ def ghg_parse(*, df_list, year, config, **_): if "Total" == apb_value or "Total " == apb_value: df = df.drop(index) - elif table_name == "A-71": + elif table_name == "A-68": fuel_name = "" A_79_unit_dict = {'Natural Gas': 'trillion cubic feet', 'Electricity': 'million kilowatt-hours'} @@ -766,7 +798,7 @@ def allocate_industrial_combustion(fba: FlowByActivity, **_) -> FlowByActivity: """ Split industrial combustion emissions into two buckets to be further allocated. - clean_fba_df_fxn. Calculate the percentage of fuel consumption captured in + clean_fba_before_activity_sets. Calculate the percentage of fuel consumption captured in EIA MECS relative to EPA GHGI. Create new activities to distinguish those which use EIA MECS as allocation source and those that use alternate source. """ @@ -832,4 +864,5 @@ def split_HFCs_by_type(fba: FlowByActivity, **_) -> FlowByActivity: import flowsa # fba = flowsa.return_FBA('EPA_GHGI_T_4_101', 2016) # df = clean_HFC_fba(fba) - fba = flowsa.generateflowbyactivity.main(year=2022, source='EPA_GHGI') + flowsa.generateflowbyactivity.main(year=2022, source='EPA_GHGI') + fba = flowsa.getFlowByActivity('EPA_GHGI_T_2_1', 2022) diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index 2a3833ea2..6fe01c17e 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -5,10 +5,10 @@ bib_id: EPA_GHGI format: csv url: base_url: https://www.epa.gov/system/files/other-files/2024-05/main-text.zip - annex_url: https://www.epa.gov/system/files/other-files/2022-06/Annex.zip + annex_url: https://www.epa.gov/system/files/other-files/2024-06/2024-annex-tables.zip path: base: "Table {table_name}.csv" - annex: "Annex/{chapter}/Table {table_name}.csv" + annex: "2024 {annex} Tables/Table {table_name}.csv" # local_file: "DraftGHGI-90-22_CSVs.zip" url_replace_fxn: !script_function:EPA_GHGI ghg_url_helper call_response_fxn: !script_function:EPA_GHGI ghg_call @@ -37,7 +37,7 @@ source_No_activity: ["3-24", "3-24b"] source_activity_1: ["3-7", "3-8", "3-9", "5-17", "5-18"] source_activity_1_fuel: ["3-13", "3-14", "3-15"] # Tables with sub categories -source_activity_2: ["3-44", "3-73", "A-92"] +source_activity_2: ["3-44", "3-73", "A-89"] rows_as_flows: ["4-63", "4-64", "4-103", "4-109", "4-125"] Tables: @@ -387,15 +387,15 @@ Annex: "Annex 3": - "A-71": # Allocation datasource ## WILL UPDATE TO A-68 + "A-68": # Allocation datasource "class": "Energy" "unit": "million gallons" "activity": "Fuel Consumption" - "desc": "Table A-71: Fuel Consumption by Fuel and Vehicle Type (million gallons unless otherwise specified)" + "desc": "Table A-68: Fuel Consumption by Fuel and Vehicle Type (million gallons unless otherwise specified)" - "A-92": ## WILL UPDATE TO A-89 + "A-89": "class": "Chemicals" "unit": "MMT CO2e" "compartment": "air" "flow": "HFCs" - "desc": "Table A-92: HFC Emissions from Transportation Sources (MMT CO2 Eq.)" + "desc": "Table A-89: HFC Emissions from Transportation Sources (MMT CO2 Eq.)" From d92df80054c3befe4435cb4c4e856e406e7199d5 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 12 Jun 2024 22:26:36 -0400 Subject: [PATCH 61/69] fix error related to some annex tables with mis aligned columns --- flowsa/data_source_scripts/EPA_GHGI.py | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index 9b5f1c93f..2bde2ea85 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -121,8 +121,7 @@ def series_separate_name_and_units(series, default_flow_name, default_units): def annex_yearly_tables(data, table=None): """Special handling of ANNEX Energy Tables""" - skiprows=0 if table in ("A-9", "A-10") else 1 - df = pd.read_csv(data, skiprows=skiprows, encoding="ISO-8859-1", + df = pd.read_csv(data, skiprows=1, encoding="ISO-8859-1", header=[0, 1], thousands=",") if table == "A-4": # Table "Energy Consumption Data by Fuel Type (TBtu) and Adjusted @@ -131,6 +130,7 @@ def annex_yearly_tables(data, table=None): df = df.drop([0]) header_name = "" newcols = [] # empty list to have new column names + dropcols = [] for i in range(len(df.columns)): fuel_type = str(df.iloc[0, i]) for abbrev, full_name in SECTOR_DICT.items(): @@ -138,6 +138,10 @@ def annex_yearly_tables(data, table=None): fuel_type = fuel_type.strip() col_name = df.columns[i][1] + if df.iloc[:, i].isnull().all(): + # skip over mis aligned columns + dropcols.append(i) + continue if "Unnamed" in col_name: column_name = header_name elif col_name in ANNEX_HEADERS.keys(): @@ -145,6 +149,7 @@ def annex_yearly_tables(data, table=None): header_name = ANNEX_HEADERS[col_name] newcols.append(f"{column_name} - {fuel_type}") + df = df.drop(columns=df.columns[dropcols]) df.columns = newcols # assign column names df = df.iloc[1:, :] # exclude first row df.dropna(how='all', inplace=True) @@ -864,5 +869,6 @@ def split_HFCs_by_type(fba: FlowByActivity, **_) -> FlowByActivity: import flowsa # fba = flowsa.return_FBA('EPA_GHGI_T_4_101', 2016) # df = clean_HFC_fba(fba) - flowsa.generateflowbyactivity.main(year=2022, source='EPA_GHGI') - fba = flowsa.getFlowByActivity('EPA_GHGI_T_2_1', 2022) + for y in range(2012, 2023): + flowsa.generateflowbyactivity.main(year=y, source='EPA_GHGI') + # fba = flowsa.getFlowByActivity('EPA_GHGI_T_2_1', 2022) From c7d96b934223abd33877d27495ca4dae64875fe3 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Wed, 12 Jun 2024 22:49:23 -0400 Subject: [PATCH 62/69] update `A_92` to `A_89` --- flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml | 4 ++-- flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml | 4 ++-- .../methods/flowbysectormethods/GHG_national_m1_common.yaml | 2 +- .../methods/flowbysectormethods/GHG_national_m2_common.yaml | 4 ++-- 24 files changed, 47 insertions(+), 47 deletions(-) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml index 6c036fc24..61a2378f6 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml @@ -232,8 +232,8 @@ source_names: '326150': '' # Urethane and other foam - "EPA_GHGI_T_A_92": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + "EPA_GHGI_T_A_89": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year "EPA_GHGI_T_4_103": # PFCs from aluminum production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml index 5a7351455..9c56e97e2 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml @@ -422,8 +422,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year - EPA_GHGI_T_A_92: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 + EPA_GHGI_T_A_89: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year EPA_GHGI_T_4_103: # PFCs from aluminum production diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml index 5244a87ef..2ae2bd99b 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml @@ -228,8 +228,8 @@ source_names: '32615': '' # Urethane and other foam - "EPA_GHGI_T_A_92": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + "EPA_GHGI_T_A_89": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year "EPA_GHGI_T_4_103": # PFCs from aluminum production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml index af17d1c51..00145ba6c 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m2.yaml @@ -405,8 +405,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year - EPA_GHGI_T_A_92: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 + EPA_GHGI_T_A_89: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year EPA_GHGI_T_4_103: # PFCs from aluminum production diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml index 04feba9c7..31ec8c113 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml @@ -228,8 +228,8 @@ source_names: '32615': '' # Urethane and other foam - "EPA_GHGI_T_A_92": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + "EPA_GHGI_T_A_89": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year "EPA_GHGI_T_4_103": # PFCs from aluminum production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml index 9585abeb4..08b1309ff 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m2.yaml @@ -405,8 +405,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year - EPA_GHGI_T_A_92: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 + EPA_GHGI_T_A_89: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year EPA_GHGI_T_4_103: # PFCs from aluminum production diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml index e9db40fef..20e237406 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml @@ -228,8 +228,8 @@ source_names: '32615': '' # Urethane and other foam - "EPA_GHGI_T_A_92": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + "EPA_GHGI_T_A_89": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year "EPA_GHGI_T_4_103": # PFCs from aluminum production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml index aa23a1ec1..7fe0ff59e 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m2.yaml @@ -385,8 +385,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year - EPA_GHGI_T_A_92: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 + EPA_GHGI_T_A_89: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year EPA_GHGI_T_4_103: # PFCs from aluminum production diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml index 0210ef843..c9a1bb256 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml @@ -228,8 +228,8 @@ source_names: '32615': '' # Urethane and other foam - "EPA_GHGI_T_A_92": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + "EPA_GHGI_T_A_89": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year "EPA_GHGI_T_4_103": # PFCs from aluminum production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml index 11b43c9a3..130954ea2 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m2.yaml @@ -385,8 +385,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year - EPA_GHGI_T_A_92: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 + EPA_GHGI_T_A_89: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year EPA_GHGI_T_4_103: # PFCs from aluminum production diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml index 5d3762a9e..35c20b666 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m1.yaml @@ -232,8 +232,8 @@ source_names: '326150': '' # Urethane and other foam - "EPA_GHGI_T_A_92": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + "EPA_GHGI_T_A_89": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year "EPA_GHGI_T_4_103": # PFCs from aluminum production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml index 94cff9d3d..4092ec729 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml @@ -420,8 +420,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year - EPA_GHGI_T_A_92: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 + EPA_GHGI_T_A_89: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year EPA_GHGI_T_4_103: # PFCs from aluminum production diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml index 96727ae0e..2d26c39b6 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m1.yaml @@ -195,8 +195,8 @@ source_names: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams:attribution_source:Detail_Use_YEAR - "EPA_GHGI_T_A_92": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + "EPA_GHGI_T_A_89": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year "EPA_GHGI_T_4_103": # PFCs from aluminum production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml index 9fe195c62..4e041c303 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2018_m2.yaml @@ -363,8 +363,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year - EPA_GHGI_T_A_92: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 + EPA_GHGI_T_A_89: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year EPA_GHGI_T_4_103: # PFCs from aluminum production diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml index 05dda36f6..33a611fdc 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m1.yaml @@ -195,8 +195,8 @@ source_names: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams:attribution_source:Detail_Use_YEAR - "EPA_GHGI_T_A_92": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + "EPA_GHGI_T_A_89": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year "EPA_GHGI_T_4_103": # PFCs from aluminum production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml index 25e3470d6..1a37f087a 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2019_m2.yaml @@ -363,8 +363,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year - EPA_GHGI_T_A_92: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 + EPA_GHGI_T_A_89: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year EPA_GHGI_T_4_103: # PFCs from aluminum production diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml index 1970e0de0..d6cff3566 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m1.yaml @@ -195,8 +195,8 @@ source_names: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams:attribution_source:Detail_Use_YEAR - "EPA_GHGI_T_A_92": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + "EPA_GHGI_T_A_89": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year "EPA_GHGI_T_4_103": # PFCs from aluminum production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml index 7fb4fd1d1..362c180e5 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2020_m2.yaml @@ -364,8 +364,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year - EPA_GHGI_T_A_92: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 + EPA_GHGI_T_A_89: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year EPA_GHGI_T_4_103: # PFCs from aluminum production diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml index 21be3cb11..81d4c9668 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2021_m1.yaml @@ -195,8 +195,8 @@ source_names: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams:attribution_source:Detail_Use_YEAR - "EPA_GHGI_T_A_92": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + "EPA_GHGI_T_A_89": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year "EPA_GHGI_T_4_103": # PFCs from aluminum production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml index 73ea760fd..905d1978b 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2021_m2.yaml @@ -364,8 +364,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year - EPA_GHGI_T_A_92: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 + EPA_GHGI_T_A_89: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year EPA_GHGI_T_4_103: # PFCs from aluminum production diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml index 9a85ca9da..7544e3c59 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2022_m1.yaml @@ -195,8 +195,8 @@ source_names: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:foams:attribution_source:Detail_Use_YEAR - "EPA_GHGI_T_A_92": # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + "EPA_GHGI_T_A_89": # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year "EPA_GHGI_T_4_103": # PFCs from aluminum production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml index c6feaf8d0..b65fe336d 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2022_m2.yaml @@ -364,8 +364,8 @@ source_names: !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_4_127 year: *ghgi_year - EPA_GHGI_T_A_92: # HFCs from Transportation - !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_92 + EPA_GHGI_T_A_89: # HFCs from Transportation + !include:GHG_national_m2_common.yaml:source_names:EPA_GHGI_T_A_89 year: *ghgi_year EPA_GHGI_T_4_103: # PFCs from aluminum production diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml index 27c026c30..eb7abca58 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m1_common.yaml @@ -750,7 +750,7 @@ source_names: '32615': '' # Urethane and other foam (326150) - EPA_GHGI_T_A_92: # HFCs from Transportation + EPA_GHGI_T_A_89: # HFCs from Transportation # year: # override with ghgi_year clean_fba_before_mapping: !script_function:EPA_GHGI split_HFCs_by_type clean_parameter: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml index d7ed591b0..921988aa0 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml @@ -614,8 +614,8 @@ source_names: households: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_127:activity_sets:households - EPA_GHGI_T_A_92: # HFCs from Transportation - !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_92 + EPA_GHGI_T_A_89: # HFCs from Transportation + !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_A_89 EPA_GHGI_T_4_103: # PFCs from aluminum production !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_4_103 From 3b6c620425d8e993fc477a6917ca25387aa42efe Mon Sep 17 00:00:00 2001 From: Ben Young Date: Mon, 17 Jun 2024 10:29:39 -0400 Subject: [PATCH 63/69] add back develop tags --- .gitignore | 3 ++- requirements.txt | 6 +++--- setup.py | 6 +++--- 3 files changed, 8 insertions(+), 7 deletions(-) diff --git a/.gitignore b/.gitignore index 34e289c2b..d32c86cee 100644 --- a/.gitignore +++ b/.gitignore @@ -8,4 +8,5 @@ external_data.yaml *.egg* *.cache **/data/fbs_diff/* -flowby-old.py \ No newline at end of file +flowby-old.py +.spyproject* diff --git a/requirements.txt b/requirements.txt index 28435d096..5c7ede698 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,6 @@ -git+https://github.com/USEPA/fedelemflowlist.git#egg=fedelemflowlist -git+https://github.com/USEPA/esupy.git#egg=esupy -git+https://github.com/USEPA/standardizedinventories.git#egg=StEWI +git+https://github.com/USEPA/fedelemflowlist.git@develop#egg=fedelemflowlist +git+https://github.com/USEPA/esupy.git@develop#egg=esupy +git+https://github.com/USEPA/standardizedinventories.git@develop#egg=StEWI appdirs >= 1.4.3 # Storing user data bibtexparser>=1.2.0 # Generates bibtex kaleido == 0.1.0.post1; platform_system == "Windows" # export plotly.py figures as static images diff --git a/setup.py b/setup.py index 7c82c6587..f35682c4d 100644 --- a/setup.py +++ b/setup.py @@ -12,9 +12,9 @@ include_package_data=True, python_requires=">=3.9", install_requires=[ - 'fedelemflowlist @ git+https://github.com/USEPA/fedelemflowlist.git#egg=fedelemflowlist', - 'esupy @ git+https://github.com/USEPA/esupy.git#egg=esupy', - 'StEWI @ git+https://github.com/USEPA/standardizedinventories.git#egg=StEWI', + 'fedelemflowlist @ git+https://github.com/USEPA/fedelemflowlist.git@develop#egg=fedelemflowlist', + 'esupy @ git+https://github.com/USEPA/esupy.git@develop#egg=esupy', + 'StEWI @ git+https://github.com/USEPA/standardizedinventories.git@develop#egg=StEWI', 'appdirs>=1.4.3', 'bibtexparser>=1.2.0', "kaleido==0.1.0.post1;platform_system=='Windows'", From 1e6039981d1c4606623d2e015c502c71feab5449 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Tue, 2 Jul 2024 13:42:57 -0400 Subject: [PATCH 64/69] update chapter names for zip file --- flowsa/data_source_scripts/EPA_GHGI.py | 2 +- flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/flowsa/data_source_scripts/EPA_GHGI.py b/flowsa/data_source_scripts/EPA_GHGI.py index 2bde2ea85..89b264a03 100644 --- a/flowsa/data_source_scripts/EPA_GHGI.py +++ b/flowsa/data_source_scripts/EPA_GHGI.py @@ -211,7 +211,7 @@ def ghg_call(*, resp, url, year, config, **_): else: # Access chapter specific zip files within the main zip - chapter_name = f'{chapter.rsplit(" - ")[1]}.zip' + chapter_name = f'{chapter}.zip' zfiledata = io.BytesIO(f.read(chapter_name)) with zipfile.ZipFile(zfiledata) as f2: for table in tables: diff --git a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml index 6fe01c17e..14438de67 100644 --- a/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml +++ b/flowsa/methods/flowbyactivitymethods/EPA_GHGI.yaml @@ -41,7 +41,7 @@ source_activity_2: ["3-44", "3-73", "A-89"] rows_as_flows: ["4-63", "4-64", "4-103", "4-109", "4-125"] Tables: - "Ch 2 - Trends in Greenhouse Gas Emissions and Removals": + "Chapter 2 - Trends in Greenhouse Gas Emissions and Removals": "2-1": "class": "Chemicals" "unit": "MMT CO2e" @@ -49,7 +49,7 @@ Tables: "flow": "CO2e" "desc": "Table 2-1: Recent Trends in U.S. Greenhouse Gas Emissions and Sinks (MMT CO2 Eq.)" - "Ch 3 - Energy": + "Chapter 3 - Energy": "3-7": "class": "Chemicals" "unit": "MMT CO2e" @@ -166,7 +166,7 @@ Tables: "compartment": "air" "desc": "Table 3-116: CO2, CH4, and N2O Emissions from International Bunker Fuels (MMT CO2 Eq.)" - "Ch 4 - Industrial Processes": + "Chapter 4 - Industrial Processes and Product Use": "4-16": # Emissions captured in 2-1 "class": "Chemicals" "unit": "MMT CO2e" @@ -259,7 +259,7 @@ Tables: "compartment": "air" "desc": "Table 4-135: SF6 and PFC Emissions from Other Product Use (MMT CO2 Eq.)" - "Ch 5 - Agriculture": + "Chapter 5 - Agriculture": "5-3": "class": "Chemicals" "unit": "MMT CO2e" From dcd3a252ab14510e949df95def6e6be0412ca99f Mon Sep 17 00:00:00 2001 From: Ben Young Date: Tue, 2 Jul 2024 14:42:26 -0400 Subject: [PATCH 65/69] add appendix A-13 back in for 2012 data --- .../methods/flowbysectormethods/GHG_national_m2_common.yaml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml index 921988aa0..1cb5c8b8f 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_m2_common.yaml @@ -241,6 +241,7 @@ source_names: - 'EPA_GHGI_T_A_10.non_manufacturing_coal' - 'EPA_GHGI_T_A_11.non_manufacturing_coal' - 'EPA_GHGI_T_A_12.non_manufacturing_coal' + - 'EPA_GHGI_T_A_13.non_manufacturing_coal' attribution_method: proportional attribution_source: Detail_Use_YEAR: ## Update year @@ -258,6 +259,7 @@ source_names: - 'EPA_GHGI_T_A_10.non_manufacturing_natural_gas' - 'EPA_GHGI_T_A_11.non_manufacturing_natural_gas' - 'EPA_GHGI_T_A_12.non_manufacturing_natural_gas' + - 'EPA_GHGI_T_A_13.non_manufacturing_natural_gas' attribution_method: proportional attribution_source: Detail_Use_YEAR: ## Update year @@ -275,6 +277,7 @@ source_names: - 'EPA_GHGI_T_A_10.coal_manufacturing_co2' - 'EPA_GHGI_T_A_11.coal_manufacturing_co2' - 'EPA_GHGI_T_A_12.coal_manufacturing_co2' + - 'EPA_GHGI_T_A_13.coal_manufacturing_co2' attribution_method: proportional attribution_source: EIA_MECS_Energy: @@ -300,6 +303,7 @@ source_names: - 'EPA_GHGI_T_A_10.natural_gas_manufacturing' - 'EPA_GHGI_T_A_11.natural_gas_manufacturing' - 'EPA_GHGI_T_A_12.natural_gas_manufacturing' + - 'EPA_GHGI_T_A_13.natural_gas_manufacturing' attribution_method: proportional attribution_source: EIA_MECS_Energy: @@ -323,6 +327,7 @@ source_names: - 'EPA_GHGI_T_A_10.petroleum' - 'EPA_GHGI_T_A_11.petroleum' - 'EPA_GHGI_T_A_12.petroleum' + - 'EPA_GHGI_T_A_13.petroleum' attribution_method: proportional attribution_source: Detail_Use_YEAR: ## Update year From 24a3f74e5c4f9e8bfeda005b6e2ccf396ff691c3 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Tue, 2 Jul 2024 14:49:21 -0400 Subject: [PATCH 66/69] adjust mapping for liming to avoid dropping of emissions data, where no liming use for agricultural sectors --- .../activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv | 3 +-- .../methods/flowbysectormethods/GHG_national_2012_m1.yaml | 8 ++------ .../methods/flowbysectormethods/GHG_national_2013_m1.yaml | 7 ++----- .../methods/flowbysectormethods/GHG_national_2014_m1.yaml | 7 ++----- .../methods/flowbysectormethods/GHG_national_2015_m1.yaml | 7 ++----- .../methods/flowbysectormethods/GHG_national_2016_m1.yaml | 7 ++----- 6 files changed, 11 insertions(+), 28 deletions(-) diff --git a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv index 12e51b405..7db7a0f0f 100644 --- a/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv +++ b/flowsa/data/activitytosectormapping/NAICS_Crosswalk_EPA_GHGI.csv @@ -38,8 +38,7 @@ EPA_GHGI,Electrical Equipment,NAICS_2012_Code,2211,,new activity,EPA_GHGI_T_2_1 EPA_GHGI,Electric Power,NAICS_2012_Code,2211,,"Commodity: 221100 (or I: 221100, S00101, S00202)",EPA_GHGI_T_2_1 EPA_GHGI,Electric Power,NAICS_2012_Code,S00101,,,EPA_GHGI_T_2_1 EPA_GHGI,Electric Power,NAICS_2012_Code,S00202,,,EPA_GHGI_T_2_1 -EPA_GHGI,Liming,NAICS_2012_Code,111,,"111, 112",EPA_GHGI_T_2_1 -EPA_GHGI,Liming,NAICS_2012_Code,112,,,EPA_GHGI_T_2_1 +EPA_GHGI,Liming,NAICS_2012_Code,111,,111,EPA_GHGI_T_2_1 EPA_GHGI,Urea Fertilization,NAICS_2012_Code,111,,"111, 112",EPA_GHGI_T_2_1 EPA_GHGI,Urea Fertilization,NAICS_2012_Code,112,,,EPA_GHGI_T_2_1 EPA_GHGI,Rice Cultivation,NAICS_2012_Code,11116,,1111B0,EPA_GHGI_T_2_1 diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml index 61a2378f6..3bf355cf9 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m1.yaml @@ -11,7 +11,7 @@ mecs_year: &mecs_year 2014 _industrial_allocation_dict: &industrial_dict energy_fba: 'EIA_MECS_Energy' year: *mecs_year - ghg_fba: 'EPA_GHGI_T_A_11' # 2014 Table + ghg_fba: 'EPA_GHGI_T_A_11' # 2014 Table from 2022 GHGI release _attribution_sources: BEA: &bea # 2012 Make and Use tables @@ -42,11 +42,7 @@ source_names: liming: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:liming - attribution_source: - BEA_Detail_Use_SUT: - <<: *bea - selection_fields: - ActivityProducedBy: {'327400': ''} # Lime + attribution_method: direct urea: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml index 2ae2bd99b..33734e900 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2013_m1.yaml @@ -11,7 +11,7 @@ mecs_year: &mecs_year 2014 _industrial_allocation_dict: &industrial_dict energy_fba: 'EIA_MECS_Energy' year: *mecs_year - ghg_fba: 'EPA_GHGI_T_A_11' # 2014 Table + ghg_fba: 'EPA_GHGI_T_A_11' # 2014 Table from 2022 GHGI release sources_to_cache: Detail_Use_2013: @@ -53,10 +53,7 @@ source_names: liming: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:liming - attribution_source: - Detail_Use_2013: - selection_fields: - SectorProducedBy: {'3274': ''} # Lime + attribution_method: direct urea: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml index 31ec8c113..bfd482954 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2014_m1.yaml @@ -11,7 +11,7 @@ mecs_year: &mecs_year 2014 _industrial_allocation_dict: &industrial_dict energy_fba: 'EIA_MECS_Energy' year: *mecs_year - ghg_fba: 'EPA_GHGI_T_A_11' # 2014 Table + ghg_fba: 'EPA_GHGI_T_A_11' # 2014 Table from 2022 GHGI release sources_to_cache: Detail_Use_2014: @@ -53,10 +53,7 @@ source_names: liming: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:liming - attribution_source: - Detail_Use_2014: - selection_fields: - SectorProducedBy: {'3274': ''} # Lime + attribution_method: direct urea: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml index 20e237406..113e990c9 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2015_m1.yaml @@ -11,7 +11,7 @@ mecs_year: &mecs_year 2014 _industrial_allocation_dict: &industrial_dict energy_fba: 'EIA_MECS_Energy' year: *mecs_year - ghg_fba: 'EPA_GHGI_T_A_11' # 2014 Table + ghg_fba: 'EPA_GHGI_T_A_11' # 2014 Table from 2022 GHGI release sources_to_cache: Detail_Use_2015: @@ -53,10 +53,7 @@ source_names: liming: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:liming - attribution_source: - Detail_Use_2015: - selection_fields: - SectorProducedBy: {'3274': ''} # Lime + attribution_method: direct urea: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml index c9a1bb256..2191520c0 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2016_m1.yaml @@ -11,7 +11,7 @@ mecs_year: &mecs_year 2018 _industrial_allocation_dict: &industrial_dict energy_fba: 'EIA_MECS_Energy' year: *mecs_year - ghg_fba: 'EPA_GHGI_T_A_7' # 2018 Table + ghg_fba: 'EPA_GHGI_T_A_9' # 2018 Table sources_to_cache: Detail_Use_2016: @@ -53,10 +53,7 @@ source_names: liming: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:liming - attribution_source: - Detail_Use_2016: - selection_fields: - SectorProducedBy: {'3274': ''} # Lime + attribution_method: direct urea: !include:GHG_national_m1_common.yaml:source_names:EPA_GHGI_T_2_1:activity_sets:urea From 1cb504c0e7a656ec8d9f2bf00b479df855838c43 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Tue, 2 Jul 2024 14:50:51 -0400 Subject: [PATCH 67/69] exclude more fields to avoid warnings --- .../methods/flowbysectormethods/GHG_national_2012_m2.yaml | 7 ++++--- .../methods/flowbysectormethods/GHG_national_2017_m2.yaml | 7 ++++--- 2 files changed, 8 insertions(+), 6 deletions(-) diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml index 9c56e97e2..85db2d092 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2012_m2.yaml @@ -16,9 +16,10 @@ _attribution_sources: exclusion_fields: # Drop irrelevant final demand and total sectors ActivityConsumedBy: ['F03000', 'F04000', 'F05000', 'F02E00', - 'F06E00', 'F07E00', 'F10E00', - 'T001', 'T004', 'T007'] - ActivityProducedBy: ['T007'] + 'F06E00', 'F07E00', 'F10E00', 'F02R00', + 'T001', 'T004', 'T007', 'T019'] + ActivityProducedBy: ['T007', 'T013', 'T015', 'T016', 'TOP', + 'MCIF'] attribution_method: equal source_names: diff --git a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml index 4092ec729..f752b0e2c 100644 --- a/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml +++ b/flowsa/methods/flowbysectormethods/GHG_national_2017_m2.yaml @@ -16,9 +16,10 @@ _attribution_sources: exclusion_fields: # Drop irrelevant final demand and total sectors ActivityConsumedBy: ['F03000', 'F04000', 'F05000', 'F02E00', - 'F06E00', 'F07E00', 'F10E00', - 'T001', 'T004', 'T007'] - ActivityProducedBy: ['T007'] + 'F06E00', 'F07E00', 'F10E00', 'F02R00', + 'T001', 'T004', 'T007', 'T019'] + ActivityProducedBy: ['T007', 'T013', 'T015', 'T016', 'TOP', + 'MCIF'] attribution_method: equal source_names: From aa7ff5e7807421a5719c8de6af7d3a8318847e17 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Tue, 2 Jul 2024 18:36:08 -0400 Subject: [PATCH 68/69] :bookmark: bump to v2.0.3 --- requirements.txt | 6 +++--- setup.py | 8 ++++---- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/requirements.txt b/requirements.txt index 5c7ede698..28435d096 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,6 @@ -git+https://github.com/USEPA/fedelemflowlist.git@develop#egg=fedelemflowlist -git+https://github.com/USEPA/esupy.git@develop#egg=esupy -git+https://github.com/USEPA/standardizedinventories.git@develop#egg=StEWI +git+https://github.com/USEPA/fedelemflowlist.git#egg=fedelemflowlist +git+https://github.com/USEPA/esupy.git#egg=esupy +git+https://github.com/USEPA/standardizedinventories.git#egg=StEWI appdirs >= 1.4.3 # Storing user data bibtexparser>=1.2.0 # Generates bibtex kaleido == 0.1.0.post1; platform_system == "Windows" # export plotly.py figures as static images diff --git a/setup.py b/setup.py index f35682c4d..b1d4b7fec 100644 --- a/setup.py +++ b/setup.py @@ -6,15 +6,15 @@ setup( name='flowsa', - version='2.0.2', + version='2.0.3', packages=find_packages(), package_dir={'flowsa': 'flowsa'}, include_package_data=True, python_requires=">=3.9", install_requires=[ - 'fedelemflowlist @ git+https://github.com/USEPA/fedelemflowlist.git@develop#egg=fedelemflowlist', - 'esupy @ git+https://github.com/USEPA/esupy.git@develop#egg=esupy', - 'StEWI @ git+https://github.com/USEPA/standardizedinventories.git@develop#egg=StEWI', + 'fedelemflowlist @ git+https://github.com/USEPA/fedelemflowlist.git#egg=fedelemflowlist', + 'esupy @ git+https://github.com/USEPA/esupy.git#egg=esupy', + 'StEWI @ git+https://github.com/USEPA/standardizedinventories.git#egg=StEWI', 'appdirs>=1.4.3', 'bibtexparser>=1.2.0', "kaleido==0.1.0.post1;platform_system=='Windows'", From 88290aff9f40577353ebf256e0dac414d7ed0572 Mon Sep 17 00:00:00 2001 From: Ben Young Date: Tue, 2 Jul 2024 21:48:10 -0400 Subject: [PATCH 69/69] add back GHG testing --- tests/test_examples.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_examples.py b/tests/test_examples.py index 8bd17924f..61b5c61f8 100644 --- a/tests/test_examples.py +++ b/tests/test_examples.py @@ -22,8 +22,8 @@ def test_get_flows_by_sector(): flowsa.flowbysector.getFlowBySector('TRI_DMR_state_2017', download_FBAs_if_missing=True) - # flowsa.flowbysector.getFlowBySector('GHG_national_2019_m1', - # download_FBAs_if_missing=True) + flowsa.flowbysector.getFlowBySector('GHG_national_2022_m1', + download_FBAs_if_missing=True) flowsa.flowbysector.getFlowBySector('CNHW_national_2018', download_FBAs_if_missing=True,