Articles | Volume 17, issue 7
https://doi.org/10.5194/acp-17-4477-2017
https://doi.org/10.5194/acp-17-4477-2017
Research article
 | 
03 Apr 2017
Research article |  | 03 Apr 2017

Impacts of coal burning on ambient PM2.5 pollution in China

Qiao Ma, Siyi Cai, Shuxiao Wang, Bin Zhao, Randall V. Martin, Michael Brauer, Aaron Cohen, Jingkun Jiang, Wei Zhou, Jiming Hao, Joseph Frostad, Mohammad H. Forouzanfar, and Richard T. Burnett

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Cited articles

Alexander, B., Park, R. J., Jacob, D. J., Li, Q. B., Yantosca, R. M., Savarino, J., Lee, C. C. W., and Thiemens, M. H.: Sulfate formation in sea-salt aerosols: constraints from oxygen isotopes, J. Geophys. Res., 110, D10307, https://doi.org/10.1029/2004JD005659, 2005.
Benkovitz, C. M., Scholtz, M. T., Pacyna, J., Tarrasón, L., Dignon, J., Voldner, E. C., Spiro, P. A., Logan, J. A., and Graedel, T. E.: Global gridded inventories of anthropogenic emissions of sulfur and nitrogen, J. Geophys. Res., 101, 29239–29253, https://doi.org/10.1029/96JD00126, 1996.
Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. A., Field, B., Fiore, A. M., Li, Q., Liu, H., Mickley, L. J., and Schultz, M.: Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation, J. Geophys. Res., 106, 23073–23096, https://doi.org/10.1029/2001JD000807, 2001.
Bi, X., Feng, Y., Wu, J., Wang, Y., and Zhu, T.: Source apportionment of PM10 in six cities of northern China, Atmos. Environ., 41, 903–912, https://doi.org/10.1016/j.atmosenv.2006.09.033, 2007.
BP: Statistical Review of World Energy 2015, available at: http://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html, (last access: 16 May 2016), 2015.
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In order to quantitatively identify the contributions of coal combustion to airborne fine particles, we developed an emission inventory using up-to-date information and conducted simulations using an atmospheric model. Results show that coal combustion contributes 40 % of the airborne fine-particle concentration on national average in China. Among the subsectors of coal combustion, industrial coal burning is the dominant contributor, which should be prioritized when policies are applied.
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