Articles | Volume 19, issue 6
https://doi.org/10.5194/acp-19-3447-2019
https://doi.org/10.5194/acp-19-3447-2019
Research article
 | 
19 Mar 2019
Research article |  | 19 Mar 2019

Development of a unit-based industrial emission inventory in the Beijing–Tianjin–Hebei region and resulting improvement in air quality modeling

Haotian Zheng, Siyi Cai, Shuxiao Wang, Bin Zhao, Xing Chang, and Jiming Hao

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Cited articles

Beijing Municipal Bureau of Statistics: Beijing Statistical Yearbook 2014, China Statistics Press, Beijing, China, 2015. 
Boylan, J. W. and Russell, A. G.: PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models, Atmos. Environ., 40, 4946–4959, https://doi.org/10.1016/j.atmosenv.2005.09.087, 2006. 
Briggs, G. A.: Plume Rise Predictions, in: Lectures on Air Pollution and Environmental Impact Analyses, edited by: Haugen, D. A., American Meteorological Society, Boston, MA, USA, 59–111, 1982. 
Cai, S., Li, Q., Wang, S., Chen, J., Ding, D., Zhao, B., Yang, D., and Hao, J.: Pollutant emissions from residential combustion and reduction strategies estimated via a village-based emission inventory in Beijing, Environ. Pollut., 238, 230–237, https://doi.org/10.1016/j.envpol.2018.03.036, 2018. 
Chen, L., Sun, Y., Wu, X., Zhang, Y., Zheng, C., Gao, X., and Cen, K.: Unit-based emission inventory and uncertainty assessment of coal-fired power plants, Atmos. Environ., 99, 527–535, https://doi.org/10.1016/j.atmosenv.2014.10.023, 2014. 
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Short summary
The heavy air pollution in the Beijing-Tianjin-Hebei (BTH) region is a global hot topic. We established a unit-based industrial emission inventory for the BTH region. The inventory significantly improved air quality modeling results; this improvement subsequently contributes to an accurate source apportionment of haze pollution and more precisely targeted decision making.
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