Comparison and evaluation of anthropogenic emissions of SO2 and NO2 over China

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published 83948 2 236024 document 83948 lightbox.jpg image/png a3f6d9aac2dc6d05f7fa10bece373bc8 MD5 52546 2018-05-03 09:09:39 https://pure.iiasa.ac.at/id/eprint/14798/10/lightbox.jpg 14798 10 10 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/83947 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/83947 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/83947 archive 5 disk0/00/01/47/98 2017-09-04 12:24:00 2021-08-27 17:29:18 2017-10-31 11:03:54 article show 1 Li M. 8969 Klimont Z. 1473 0000-0003-2630-198X Zhang Q. Martin R.V. Zheng B. Heyes C. 1540 0000-0001-5254-493X Cofala J. 1460 Zhang Y. He K. Comparison and evaluation of anthropogenic emissions of SO2 and NO2 over China pub prog_air prog_mag Bottom-up emission inventories provide primary understanding of sources of air pollution and essential input of chemical transport models. Focusing on SO2 and NOx, we conducted a comprehensive evaluation of two widely-used anthropogenic emission inventories over China, ECLIPSE and MIX, to explore the potential sources of uncertainties and find the clues in improving emission inventories. We first compared the activity rates and emission factors used in two inventories, and investigated the reasons of differences and the impacts on emission estimates. We found that SO2 emission estimates are consistent between two inventories (with 1 % differences), while NOx emissions in ECLIPSE's estimates are 16 % lower than those of MIX. Discrepancies at sectorial and provincial level are much higher. We then examined the impacts of different inventories on model performance, by using the nested GEOS-Chem model. We finally derived top-down NOx emissions by using the NO2 columns from the Ozone Monitoring Instrument (OMI) and compared with the bottom-up estimates. To our knowledge, this is the first work where source-sector comparisons are made along with the remote sensing retrievals and chemical transport modeling. Through the comparison between bottom-up emission inventories and evaluation with top-down information, we summarized the potential directions for further improvement in inventory development. 2018-03-08 published European Geosciences Union (EGU) 10.5194/acp-18-3433-2018 2795 159 123 55 public Atmospheric Chemistry and Physics 18 3343-3456 TRUE 1680-7324 FALSE info:eu-repo/semantics/article