摘要：The Emissions Database for Global Atmospheric Research (EDGAR) compilesanthropogenic emissions data for greenhouse gases (GHGs), and for multiple airpollutants, based on international statistics and emission factors. EDGAR dataprovide quantitative support for atmospheric modelling and for mitigationscenario and impact assessment analyses as well as for policy evaluation. Thenew version (v4.3.2) of the EDGAR emission inventory provides globalestimates, broken down to IPCC-relevant source-sector levels, from 1970 (theyear of the European Union's first Air Quality Directive) to 2012 (the endyear of the first commitment period of the Kyoto Protocol, KP). Strengths ofEDGAR v4.3.2 include global geo-coverage (226 countries), continuity in time,and comprehensiveness in activities. Emissions of multiple chemicalcompounds, GHGs as well as air pollutants, from relevant sources (fossil fuelactivities but also, for example, fermentation processes in agriculturalactivities) are compiled following a bottom-up (BU), transparent and IPCC-compliant methodology. This paper describesEDGAR v4.3.2 developments with respect to three major long-lived GHGs (CO2,CH4, and N2O) derived from a wide range of human activitiesapart from the land-use, land-use change and forestry (LULUCF) sector andapart from savannah burning; a companion paper quantifies and discussesemissions of air pollutants. Detailed information is included for each of theIPCC-relevant source sectors, leading to global totals for 2010 (in themiddle of the first KP commitment period) (with a 95% confidenceinterval in parentheses): 33.6(±5.9)PgCO2yr−1, 0.34(±0.16)PgCH4yr−1, and 7.2(±3.7)TgN2Oyr−1. We provide uncertainty factors in emissionsdata for the different GHGs and for three different groups of countries: OECDcountries of 1990, countries with economies in transition in 1990, and theremaining countries in development (the UNFCCC non-Annex I parties). Wedocument trends for the major emitting countries together with the EuropeanUnion in more detail, demonstrating that effects of fuel markets andfinancial instability have had greater impacts on GHG trends than effects ofincome or population. These data (https://doi.org/10.5281/zenodo.2658138,Janssens-Maenhout et al., 2019) are visualised with annual and monthly global emissions grid mapsof 0.1∘×0.1∘ for each source sector.
