Articles | Volume 19, issue 16
Atmos. Chem. Phys., 19, 11031–11041, 2019
https://doi.org/10.5194/acp-19-11031-2019
Atmos. Chem. Phys., 19, 11031–11041, 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 et al.

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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. 
Cai, W., Li, K., Liao, H., Wang, H., and Wu, L.: Weather conditions conducive to Beijing severe haze more frequent under climate change, Nat. Clim. Change, 7, 257–263, 2017. 
Chang, L., Xu, J., Tie, X., and Wu, J.: Impact of the 2015 El Nino event on winter air quality in China, Sci. Rep.-UK, 6, 34275, https://doi.org/10.1038/srep34275, 2016. 
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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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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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