Articles | Volume 19, issue 16
https://doi.org/10.5194/acp-19-11031-2019
https://doi.org/10.5194/acp-19-11031-2019
Research article
 | 
29 Aug 2019
Research article |  | 29 Aug 2019

Fine particulate matter (PM2.5) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology

Shixian Zhai, Daniel J. Jacob, Xuan Wang, Lu Shen, Ke Li, Yuzhong Zhang, Ke Gui, Tianliang Zhao, and Hong Liao

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Cited articles

Barrero, M. A., Orza, J. A. G., Cabello, M., and Canton, L.: Categorisation of air quality monitoring stations by evaluation of PM10 variability, Sci. Total Environ., 524–525, 225–236, https://doi.org/10.1016/j.scitotenv.2015.03.138, 2015. 
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Chen, Z., Xie, X., Cai, J., Chen, D., Gao, B., He, B., Cheng, N., and Xu, B.: Understanding meteorological influences on PM2.5 concentrations across China: a temporal and spatial perspective, Atmos. Chem. Phys., 18, 5343–5358, https://doi.org/10.5194/acp-18-5343-2018, 2018. 
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Short summary
Observed annual mean PM2.5 decreased by 30–50 % in China from 2013–2018. However, meteorologically PM2.5 variability complicates trend attribution. We used a stepwise multiple linear regression model to quantitatively separate contributions from anthropogenic emissions and meteorology. Results show that 88 % of the PM2.5 decrease across China is attributable to anthropogenic emission changes, and 12 % is attributable to meteorology.
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