- Calculation of emissions using a technology based emission factor approach consistently applied for all world countries.
Emissions (EM) for a country C are calculated for each compound x on an annual basis (y) and sector wise (for i sectors, multiplying on the one hand the country-specific activity data (AD), quantifying the human activity for each of the i sectors, with the mix of j technologies (TECH) for each sector i, and with their abatement percentage by one of the k end-of-pipe (EOP) measures for each technology j, and on the other hand the country-specific emission factor (EF) for each sector i and technology j with relative reduction (RED) of the uncontrolled emission by installed abatement measure k, as summarized in the following formula:
- Consistent set of activity data for calculating various substances, greenhouse gases and air pollutants, important for UNFCCC, CLRTAP and the co-benefits of air quality and climate policies.
Emissions are calculated for the following substances:
- Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2).
- Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4).
- Acidifying gases: Ammonia (NH3), Nitrogen oxides (NOx) and Sulfur Dioxide (SO2).
- Primary particulates: Fine Particulate Matter (PM10 and PM2.5 and Carbonaceous speciation (BC, OC).
- Stratospheric Ozone Depleting Substances: Chlorofluorocarbons (CFC-11, 12, 113, 114, 115), Halons (1211, 1301, 2402), Hydrochlorofluorocarbons (HCFC-22, 124, 141b, 142b), Carbon Tetrachloride (CCl4), Methyl Bromide (CH3Br) and Methyl Chloroform (CH3CCl2).
- Spatial allocation of emissions on 0.1 degree by 0.1degree grid cells
A geographical database was built using spatial proxy datasets with the location of energy and manufacturing facilities, road networks, shipping routes, human and animal population density and agricultural land use, that vary over time. The input datasets where point, line and area grids at various resolutions and using GIS techniques for conversion, resampling and aggregation the dataset have been included on a 0.1°x0.1° grid. National sector totals are then distributed with the given percentages of the spatial proxies over the country’s area.
- Availability of annual and monthly sector-specific emissions timeseries from 1970 onwards.
Input to EDGAR are international annual statistics, that are collected from 1970 onwards till year x-1 for CO2 and with 2 or even 4 years delay for other greenhouse gases respectively air pollutants and particulate matter. On the latest available year, sector- and region-specific monthly profiles are applied to generate global monthly emission gridmaps.
IEA part III: GHG: Olivier J, Janssens-Maenhout G. CO2 emissions from fossil fuel combustion: 2015 edition: Part III: Total greenhouse gas emissions. International Energy Agency (OECD); 2015. JRC99764
CO2 report series: Olivier J, Janssens-Maenhout G, Muntean M, Peters J. Trends in global CO2 emissions: 2016 Report. European Commission; Science for Policy report, JRC103428
G. Janssens-Maenhout, M. Crippa, D. Guizzardi, F. Dentener, M. Muntean, G. Pouliot, T. Keating, Q. Zhang, J. Kurokawa, R. Wankmüller, H. Denier van der Gon, Z. Klimont, G. Frost, S. Darras, and B. Koffi, M. Liu, J.J.P. Kuenen, HTAP_v2: a mosaic of regional and global emission gridmaps for 2008 and 2010 to study hemispheric transport of air pollution, Atmos. Chem. Phys. 15, 12867-12909, 2015 DOI: 10.5194/acp-15-11411-2015