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Volume 14, No. 7, December 2014, Pages 1799-1811 PDF(1.07 MB)  
doi: 10.4209/aaqr.2014.08.0165   

Identification of Missing Anthropogenic Emission Sources in Russia: Implication for Modeling Arctic Haze

Kan Huang1, Joshua S. Fu1, Elke L. Hodson2, Xinyi Dong1, Joe Cresko2, Vitaly Y. Prikhodko3, John M. Storey3, Meng-Dawn Cheng3

1 Department of Civil and Environmental Engineering, The University of Tennessee, Knoxville, TN 37996, USA
2 U.S. Department of Energy, Washington, DC, USA
3 Energy and Environmental Sciences Directorate, Oak Ridge National Laboratory, Oak Ridge, TN, USA


  • AOD were significantly under-predicted in Russia using the EDGAR emission inventory.
  • Emissions from power plants and mining in Russia were significantly underestimated.
  • Gas flaring emissions were completely missing in EDGAR.
  • Most underestimated emissions were found in the high latitudinal regions.
  • The impacts from Russian emission on the Arctic haze were overlooked.



Any comprehensive simulation of air pollution in the Arctic requires an accurate emission inventory. Using a community global emission inventory EDGARv4.2 (Emissions Database for Global Atmospheric Research), GEOS-Chem modeling underestimated aerosol optical depth by 150–300% when compared to ground-based sites in Russia. Emissions from power plants, gas flaring, and mining were found significantly underestimated or even missing in EDGAR’s Russian emission inventory. Approximately 70% of Russian provinces had lower NOx and PM10 emission from power plants in EDGAR as compared to a Russian federal emission inventory. Emissions from gas flaring dominated in Russia’s main oil and gas producing regions. However, it is completely missing in EDGAR. In addition, EDGAR underestimated Russia’s mining emissions in most of its remote areas. Overall, we find EDGAR underestimated Russia’s emissions especially at high latitudes and this could overlook the impact of Russian emissions on the Arctic if EDGAR is used as input for models.



Keywords: Russia; EDAGR; Emission underestimation; Arctic.



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