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@@ -2,27 +2,28 @@
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Configuration file to read Bangladesh's BUR 1.
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# Overview of all available GHG tables
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+
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# not reading:
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# table 7, page 70 - already in main table in annex
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# table 8, page 71 - only four new data points for 2012
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# figure 22, page 83 - this is a summary of all energy tables
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# figure 23 - image of summary of IPUU, data are available as tables in same
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# chapter
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-# table 27 - rice cultivation available in main tables in annex
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-# table 28 - N2O from fertilizers in main tables
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-# table 29 - indirect N2O from fertilizer in main table
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-# table 31 - enteric CH4 by livestocke low priority ??
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-# table 32 - manure CH4 by livestocke low priority ??
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+# table 27 - rice cultivation available - in main tables
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+# table 28 - N2O from fertilizers - in main tables
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+# table 29 - indirect N2O from fertilizer - in main table
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+# table 31 - enteric CH4 by livestock - low priority
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+# table 32 - manure CH4 by livestock - low priority
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# table 37 - already in main tables in annex
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-# table 19-23, ammonia-urea, cement, glass, lubricants, steel mills
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+# table 19-23, ammonia-urea, cement, glass, lubricants, steel mills
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# 2013-2019 on pages 86-88 - already in main table
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# reading:
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-# table 16, page 78 - 2013-2019 by industry sub-sectors, image! DONE
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-# table 17, page 79 - 2013-2019 transportation - image! DONE
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-# table 18, page 80 - residential 2013-2019 commercial sector - image! DONE
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-# table 19, page 80 - agriculture energy use 2013-2019 - image! DONE
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-# figure 20, page 81 - gas leakage 2013-2019 - image!
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+# table 16, page 78 - 2013-2019 by industry sub-sectors - typed
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+# table 17, page 79 - 2013-2019 transportation - typed
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+# table 18, page 80 - residential 2013-2019 commercial sector - typed
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+# table 19, page 80 - agriculture energy use 2013-2019 - typed
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+# figure 20, page 81 - gas leakage 2013-2019 - typed
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"""
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@@ -52,21 +53,11 @@ gwp_to_use = "AR4GWP100"
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coords_value_mapping = {
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"unit": "PRIMAP1",
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"category": "PRIMAP1",
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- # "entity": {
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- # "HFCs": f"HFCS ({gwp_to_use})",
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- # "PFCs": f"PFCS ({gwp_to_use})",
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- # "SF6": f"SF6 ({gwp_to_use})",
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- # "other halogenated gases": f"other halogenated gases ({gwp_to_use})",
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- # "NMVOCs": "NMVOC",
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- # },
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}
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filter_remove = {
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"f_memo": {"category": "MEMO"},
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"f_info": {"category": "INFO"},
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- # "f2": {
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- # "entity": ["Other halogenated gases without CO2 equivalent conversion factors"],
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- # },
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}
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meta_data = {
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@@ -106,12 +97,12 @@ inv_conf_per_year = {
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"3 - GHG Emissions Agriculture, Livestock & Forest and Other Land -Use"
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],
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2: [
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- # B-Methane emission from domestic waste water and
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- # c-nitrous oxide emission from domestic waste water are the same category
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+ # "B-Methane emission from domestic waste water" and
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+ # "c-nitrous oxide emission from domestic waste water" are the same category
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# and should be merged
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"B-Methane emission from domestic waste water",
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- # Total Manure ch4 emissions and
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- # Total Direct n2o emissions from manure system are the same category
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+ # "Total Manure ch4 emissions" and
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+ # "Total Direct n2o emissions from manure system" are the same category
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# and should be merged
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"Total Manure ch4 emissions",
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],
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@@ -140,6 +131,7 @@ inv_conf_per_year = {
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"Gg",
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],
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"skip_rows": 6,
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+ # TODO The manual codes can be summarised for all years
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"cat_codes_manual": {
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"1-A - Fuel Combustion Activities_Energy Industries": "1.A",
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"1 - a1- electricity Generation": "1.A.1",
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@@ -147,6 +139,7 @@ inv_conf_per_year = {
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"1.a3-Transport": "1.A.3",
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"1.a4-other sectors": "1.A.4",
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"2 a. 1-cement Production": "2.A.1",
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+ "2a3 Glass Production": "2.A.3",
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"2 B. 1 - ammonia Production": "2.B.1",
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"2 C-Metal Industry": "2.C",
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"2 c. 1 iron and steel Production": "2.C.1",
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@@ -201,12 +194,12 @@ inv_conf_per_year = {
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"CO2 from Biomass burning for Energy purpose",
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],
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2: [
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- # B-Methane emission from domestic waste water and
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- # c-nitrous oxide emission from domestic waste water are the same category
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+ # "B-Methane emission from domestic waste water" and
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+ # "c-nitrous oxide emission from domestic waste water" are the same category
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# and should be merged
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"B-Methane emission from domestic waste water",
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- # Total Manure ch4 emissions and
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- # Total Direct n2o emissions from manure system are the same category
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+ # "Total Manure ch4 emissions" and
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+ # "Total Direct n2o emissions from manure system" are the same category
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# and should be merged
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"Total Manure ch4 emissions",
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],
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@@ -231,6 +224,7 @@ inv_conf_per_year = {
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"1.a3-Transport": "1.A.3",
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"1.a4-other sectors": "1.A.4",
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"2 a. 1-cement Production": "2.A.1",
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+ "2a3 Glass Production": "2.A.3",
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"2 B. 1 - ammonia Production": "2.B.1",
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"2 C-Metal Industry": "2.C",
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"2 c. 1 iron and steel Production": "2.C.1",
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@@ -287,12 +281,12 @@ inv_conf_per_year = {
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"c-co2 emission due to fuel wood removal for consumption",
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],
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2: [
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- # B-Methane emission from domestic waste water and
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- # c-nitrous oxide emission from domestic waste water are the same category
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+ # "B-Methane emission from domestic waste wate"r" and
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+ # "c-nitrous oxide emission from domestic waste water" are the same category
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# and should be merged
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"B-Methane emission from domestic waste water",
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- # Total Manure ch4 emissions and
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- # Total Direct n2o emissions from manure system are the same category
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+ # "Total Manure ch4 emissions" and
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+ # "Total Direct n2o emissions from manure system" are the same category
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# and should be merged
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"Total Manure ch4 emissions",
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],
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@@ -317,6 +311,7 @@ inv_conf_per_year = {
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"1.a3-Transport": "1.A.3",
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"1.a4-other sectors": "1.A.4",
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"2 a. 1-cement Production": "2.A.1",
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+ "2a3 Glass Production": "2.A.3",
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"2 B. 1 - ammonia Production": "2.B.1",
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"2 C-Metal Industry": "2.C",
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"2 c. 1 iron and steel Production": "2.C.1",
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@@ -377,12 +372,12 @@ inv_conf_per_year = {
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"CO2 from Biomass burning for Energy purpose",
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],
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2: [
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- # B-Methane emission from domestic waste water and
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- # c-nitrous oxide emission from domestic waste water are the same category
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+ # "B-Methane emission from domestic waste water" and
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+ # "c-nitrous oxide emission from domestic waste water" are the same category
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# and should be merged
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"B-Methane emission from domestic waste water",
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- # Total Manure ch4 emissions and
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- # Total Direct n2o emissions from manure system are the same category
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+ # "Total Manure ch4 emissions" and
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+ # "Total Direct n2o emissions from manure system" are the same category
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# and should be merged
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"Total Manure ch4 emissions",
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],
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@@ -407,6 +402,7 @@ inv_conf_per_year = {
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"1.a3-Transport": "1.A.3",
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"1.a4-other sectors": "1.A.4",
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"2 a. 1-cement Production": "2.A.1",
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+ "2a3 Glass Production": "2.A.3",
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"2 B. 1 - ammonia Production": "2.B.1",
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"2 C-Metal Industry": "2.C",
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"2 c. 1 iron and steel Production": "2.C.1",
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@@ -461,12 +457,12 @@ inv_conf_per_year = {
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"CO2 from Biomass burning for Energy purpose",
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],
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2: [
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- # B-Methane emission from domestic waste water and
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- # c-nitrous oxide emission from domestic waste water are the same category
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+ # "B-Methane emission from domestic waste water" and
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+ # "c-nitrous oxide emission from domestic waste water" are the same category
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# and should be merged
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"B-Methane emission from domestic waste water",
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- # Total Manure ch4 emissions and
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- # Total Direct n2o emissions from manure system are the same category
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+ # "Total Manure ch4 emissions" and
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+ # "Total Direct n2o emissions from manure system" are the same category
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# and should be merged
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"Total Manure ch4 emissions",
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],
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@@ -491,6 +487,7 @@ inv_conf_per_year = {
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"1.a2- Manufacturing industries and construction": "1.A.2",
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"1.a3-Transport": "1.A.3",
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"1.a4-other sectors": "1.A.4",
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+ "2a3 Glass Production": "2.A.3",
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"2 B. 1 - ammonia Production": "2.B.1",
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"2 C-Metal Industry": "2.C",
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"2 c. 1 iron and steel Production": "2.C.1",
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@@ -545,12 +542,12 @@ inv_conf_per_year = {
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"CO2 from Biomass burning for Energy purpose",
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],
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2: [
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- # B-Methane emission from domestic waste water and
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- # c-nitrous oxide emission from domestic waste water are the same category
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+ # "B-Methane emission from domestic waste water" and
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+ # "c-nitrous oxide emission from domestic waste water" are the same category
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# and should be merged
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"B-Methane emission from domestic waste water",
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- # Total Manure ch4 emissions and
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- # Total Direct n2o emissions from manure system are the same category
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+ # "Total Manure ch4 emissions" and
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+ # "Total Direct n2o emissions from manure system" are the same category
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# and should be merged
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"Total Manure ch4 emissions",
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],
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@@ -575,6 +572,7 @@ inv_conf_per_year = {
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"1.a3-Transport": "1.A.3",
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"1.a4-other sectors": "1.A.4",
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"2 a. 1-cement Production": "2.A.1",
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+ "2a3 Glass Production": "2.A.3",
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"2 B. 1 - ammonia Production": "2.B.1",
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"2 C-Metal Industry": "2.C",
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"2 c. 1 iron and steel Production": "2.C.1",
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@@ -629,12 +627,12 @@ inv_conf_per_year = {
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"CO2 from Biomass burning for Energy purpose",
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],
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2: [
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- # B-Methane emission from domestic waste water and
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- # c-nitrous oxide emission from domestic waste water are the same category
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+ # "B-Methane emission from domestic waste water" and
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+ # "c-nitrous oxide emission from domestic waste water" are the same category
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# and should be merged
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"B-Methane emission from domestic waste water",
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- # Total Manure ch4 emissions and
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- # Total Direct n2o emissions from manure system are the same category
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+ # "Total Manure ch4 emissions" and
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+ # "Total Direct n2o emissions from manure system" are the same category
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# and should be merged
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"Total Manure ch4 emissions",
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],
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@@ -659,6 +657,7 @@ inv_conf_per_year = {
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"1.a3-Transport": "1.A.3",
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"1.a4-other sectors": "1.A.4",
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"2 a. 1-cement Production": "2.A.1",
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+ "2a3 Glass Production": "2.A.3",
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"2 B. 1 - ammonia Production": "2.B.1",
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"2 C-Metal Industry": "2.C",
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"2 c. 1 iron and steel Production": "2.C.1",
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@@ -687,6 +686,7 @@ inv_conf_per_year = {
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},
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}
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+# needed for the pandas wide_to_long function
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wide_to_long_col_replace = {
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"2013": "data2013",
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"2014": "data2014",
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@@ -700,7 +700,7 @@ wide_to_long_col_replace = {
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manually_typed = {
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"figure_16": {
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# TODO Conflicting entities in figure: CO2e or CO2?
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- # It says CO2 and gG more often, so I'm going with this one
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+ # It says CO2 and gG more often, so I'm going with CO2
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"unit": "Gg",
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"entity": "CO2",
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"data": {
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@@ -718,15 +718,112 @@ manually_typed = {
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"1.A.2.k",
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"1.A.2.l",
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"1.A.2.m",
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- "1.A.2",
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],
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- "2013": [709, 6, 796, 421, 553, 12174, 1, 1, 0, 4, 5, 4885, 1280, 20835],
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- "2014": [706, 0, 636, 409, 515, 13896, 0, 0, 0, 0, 203, 4793, 1276, 22435],
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- "2015": [778, 0, 545, 458, 532, 13660, 0, 0, 0, 0, 195, 5180, 1799, 23148],
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- "2016": [830, 0, 445, 473, 527, 15771, 0, 0, 0, 0, 118, 5375, 1700, 25241],
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- "2017": [883, 0, 344, 492, 522, 15141, 0, 0, 0, 0, 179, 5294, 1546, 24402],
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- "2018": [943, 0, 247, 519, 519, 15949, 0, 0, 0, 0, 193, 5810, 1764, 25947],
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- "2019": [988, 0, 123, 527, 516, 16091, 0, 0, 0, 0, 216, 5935, 2492, 26888],
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+ "2013": [
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+ 709,
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+ 6,
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+ 796,
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+ 421,
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+ 553,
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+ 12174,
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+ 1,
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+ 1,
|
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+ 0,
|
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|
+ 4,
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+ 5,
|
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+ 4885,
|
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+ 1280,
|
|
|
+ ],
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+ "2014": [
|
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|
+ 706,
|
|
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+ 0,
|
|
|
+ 636,
|
|
|
+ 409,
|
|
|
+ 515,
|
|
|
+ 13896,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 203,
|
|
|
+ 4793,
|
|
|
+ 1276,
|
|
|
+ ],
|
|
|
+ "2015": [
|
|
|
+ 778,
|
|
|
+ 0,
|
|
|
+ 545,
|
|
|
+ 458,
|
|
|
+ 532,
|
|
|
+ 13660,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 195,
|
|
|
+ 5180,
|
|
|
+ 1799,
|
|
|
+ ],
|
|
|
+ "2016": [
|
|
|
+ 830,
|
|
|
+ 0,
|
|
|
+ 445,
|
|
|
+ 473,
|
|
|
+ 527,
|
|
|
+ 15771,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 118,
|
|
|
+ 5375,
|
|
|
+ 1700,
|
|
|
+ ],
|
|
|
+ "2017": [
|
|
|
+ 883,
|
|
|
+ 0,
|
|
|
+ 344,
|
|
|
+ 492,
|
|
|
+ 522,
|
|
|
+ 15141,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 179,
|
|
|
+ 5294,
|
|
|
+ 1546,
|
|
|
+ ],
|
|
|
+ "2018": [
|
|
|
+ 943,
|
|
|
+ 0,
|
|
|
+ 247,
|
|
|
+ 519,
|
|
|
+ 519,
|
|
|
+ 15949,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 193,
|
|
|
+ 5810,
|
|
|
+ 1764,
|
|
|
+ ],
|
|
|
+ "2019": [
|
|
|
+ 988,
|
|
|
+ 0,
|
|
|
+ 123,
|
|
|
+ 527,
|
|
|
+ 516,
|
|
|
+ 16091,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 0,
|
|
|
+ 216,
|
|
|
+ 5935,
|
|
|
+ 2492,
|
|
|
+ ],
|
|
|
},
|
|
|
},
|
|
|
"figure_17": {
|
|
|
@@ -743,15 +840,70 @@ manually_typed = {
|
|
|
"1.A.3.b.iv",
|
|
|
"1.A.3.c",
|
|
|
"1.A.3.d.ii",
|
|
|
- "1.A.3",
|
|
|
],
|
|
|
- "2013": [694, 1450, 1215, 8960, 979, 115, 162, 13576],
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|
|
- "2014": [704, 1485, 914, 8126, 934, 113, 196, 12472],
|
|
|
- "2015": [738, 1708, 1135, 9082, 1030, 117, 208, 14018],
|
|
|
- "2016": [757, 1710, 1030, 8504, 1089, 115, 350, 13554],
|
|
|
- "2017": [822, 1962, 1298, 10201, 1136, 156, 289, 15864],
|
|
|
- "2018": [890, 2019, 1410, 10320, 1152, 140, 332, 16264],
|
|
|
- "2019": [938, 2440, 1985, 12682, 1232, 168, 401, 19845],
|
|
|
+ "2013": [
|
|
|
+ 694,
|
|
|
+ 1450,
|
|
|
+ 1215,
|
|
|
+ 8960,
|
|
|
+ 979,
|
|
|
+ 115,
|
|
|
+ 162,
|
|
|
+ ],
|
|
|
+ "2014": [
|
|
|
+ 704,
|
|
|
+ 1485,
|
|
|
+ 914,
|
|
|
+ 8126,
|
|
|
+ 934,
|
|
|
+ 113,
|
|
|
+ 196,
|
|
|
+ ],
|
|
|
+ "2015": [
|
|
|
+ 738,
|
|
|
+ 1708,
|
|
|
+ 1135,
|
|
|
+ 9082,
|
|
|
+ 1030,
|
|
|
+ 117,
|
|
|
+ 208,
|
|
|
+ ],
|
|
|
+ "2016": [
|
|
|
+ 757,
|
|
|
+ 1710,
|
|
|
+ 1030,
|
|
|
+ 8504,
|
|
|
+ 1089,
|
|
|
+ 115,
|
|
|
+ 350,
|
|
|
+ ],
|
|
|
+ "2017": [
|
|
|
+ 822,
|
|
|
+ 1962,
|
|
|
+ 1298,
|
|
|
+ 10201,
|
|
|
+ 1136,
|
|
|
+ 156,
|
|
|
+ 289,
|
|
|
+ ],
|
|
|
+ "2018": [
|
|
|
+ 890,
|
|
|
+ 2019,
|
|
|
+ 1410,
|
|
|
+ 10320,
|
|
|
+ 1152,
|
|
|
+ 140,
|
|
|
+ 332,
|
|
|
+ ],
|
|
|
+ "2019": [
|
|
|
+ 938,
|
|
|
+ 2440,
|
|
|
+ 1985,
|
|
|
+ 12682,
|
|
|
+ 1232,
|
|
|
+ 168,
|
|
|
+ 401,
|
|
|
+ ],
|
|
|
},
|
|
|
},
|
|
|
"figure_18": {
|
|
|
@@ -759,14 +911,14 @@ manually_typed = {
|
|
|
"entity": "CO2",
|
|
|
"unit": "Gg",
|
|
|
"data": {
|
|
|
- "category": ["1.A.4.a", "1.A.4.b", "1.A.4"],
|
|
|
- "2013": [1871, 6703, 8574],
|
|
|
- "2014": [1619, 6960, 8579],
|
|
|
- "2015": [1522, 8573, 10095],
|
|
|
- "2016": [1260, 9755, 11015],
|
|
|
- "2017": [981, 9702, 10683],
|
|
|
- "2018": [833, 11355, 12188],
|
|
|
- "2019": [835, 12317, 13152],
|
|
|
+ "category": ["1.A.4.a", "1.A.4.b"],
|
|
|
+ "2013": [1871, 6703],
|
|
|
+ "2014": [1619, 6960],
|
|
|
+ "2015": [1522, 8573],
|
|
|
+ "2016": [1260, 9755],
|
|
|
+ "2017": [981, 9702],
|
|
|
+ "2018": [833, 11355],
|
|
|
+ "2019": [835, 12317],
|
|
|
},
|
|
|
},
|
|
|
"figure_19": {
|
|
|
@@ -800,13 +952,13 @@ manually_typed = {
|
|
|
},
|
|
|
}
|
|
|
|
|
|
-# correct values that are obvously wrong in the tables
|
|
|
+# correct values that are obviously wrong in the tables
|
|
|
values_to_correct = [
|
|
|
# the sum of 1.A sub-categories does not match the value of 1.A
|
|
|
("1.A", "CH4", "2014", 110),
|
|
|
("1.A", "CO2", "2014", 77373),
|
|
|
("1", "N2O", "2014", 3.8),
|
|
|
- # For the sum for category 3 and CO2, they forgot to add 3.B
|
|
|
+ # For the sum for CO2 in category 3 they forgot to add 3.B
|
|
|
("3", "CO2", "2013", 8140),
|
|
|
("3", "CO2", "2014", 8923),
|
|
|
("3", "CO2", "2015", 9791),
|
|
|
@@ -830,6 +982,7 @@ country_processing_step1 = {
|
|
|
},
|
|
|
# There is no data for 3.D
|
|
|
# "M.3.D.AG": {"sources": ["3.D.2"], "name": "Other (Agriculture)"},
|
|
|
+ # "M.3.D.AG" is empty, so I'm not sure we need it
|
|
|
"M.AG.ELV": {
|
|
|
"sources": ["M.3.C.AG", "M.3.D.AG"],
|
|
|
},
|
|
|
@@ -844,8 +997,32 @@ country_processing_step1 = {
|
|
|
"2": {"sources": ["2.A", "2.B", "2.C", "2.D", "2.F"]}, # consistency check IPPU
|
|
|
"3": {"sources": ["M.AG", "M.LULUCF"]}, # consistency check AFOLU
|
|
|
"4": {"sources": ["4.A", "4.D"]}, # consistency check waste
|
|
|
+ # check if typed numbers add up to the total of 1.A.2 from the main table
|
|
|
+ "1.A.2": {
|
|
|
+ "sources": [
|
|
|
+ "1.A.2.a",
|
|
|
+ "1.A.2.b",
|
|
|
+ "1.A.2.c",
|
|
|
+ "1.A.2.d",
|
|
|
+ "1.A.2.e",
|
|
|
+ "1.A.2.f",
|
|
|
+ "1.A.2.g",
|
|
|
+ "1.A.2.h",
|
|
|
+ "1.A.2.i",
|
|
|
+ "1.A.2.j",
|
|
|
+ "1.A.2.k",
|
|
|
+ "1.A.2.l",
|
|
|
+ "1.A.2.m",
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ # check if the typed numbers add up to the total of 1.A.4.c in the same table
|
|
|
+ "1.A.4.c": {"sources": ["1.A.4.c.i", "1.A.4.c.iii"]},
|
|
|
+ # check if typed numbers add up to the total of 1.A.4 from the main table
|
|
|
+ "1.A.4": {"sources": ["1.A.4.a", "1.A.4.b", "1.A.4.c"]},
|
|
|
+ # check if the typed numbers add up to the total of 1.A.4.c in the same table
|
|
|
+ "1.B.2.b.iii": {"sources": ["1.B.2.b.iii.4", "1.B.2.b.iii.5"]},
|
|
|
},
|
|
|
- # We don't have HFCs and PFCs in the report, hence this is not relevant
|
|
|
+ # We don't have HFCs and PFCs in the report, hence basket_copy is not relevant
|
|
|
# "basket_copy": {
|
|
|
# "GWPs_to_add": ["SARGWP100", "AR5GWP100", "AR6GWP100"],
|
|
|
# # "entities": ["HFCS", "PFCS"],
|
|
|
@@ -853,6 +1030,10 @@ country_processing_step1 = {
|
|
|
# },
|
|
|
}
|
|
|
|
|
|
+# Note on downscaling: Data are always available for the same years: 2013-2019,
|
|
|
+# so temporal downscaling does not makes sense here.
|
|
|
+# TODO: Perhaps entity, category downscaling can be done?
|
|
|
+
|
|
|
gas_baskets = {
|
|
|
"KYOTOGHG (SARGWP100)": ["CO2", "CH4", "N2O"],
|
|
|
"KYOTOGHG (AR4GWP100)": ["CO2", "CH4", "N2O"],
|
Daniel Busch