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Volume 17, issue 22
Atmos. Chem. Phys., 17, 13921–13940, 2017
https://doi.org/10.5194/acp-17-13921-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Regional transport and transformation of air pollution in...

Atmos. Chem. Phys., 17, 13921–13940, 2017
https://doi.org/10.5194/acp-17-13921-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 23 Nov 2017

Research article | 23 Nov 2017

The role of meteorological conditions and pollution control strategies in reducing air pollution in Beijing during APEC 2014 and Victory Parade 2015

Pengfei Liang et al.

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Barmpadimos, I., Keller, J., Oderbolz, D., Hueglin, C., and Prévôt, A. S. H.: One decade of parallel fine (PM2.5) and coarse (PM10–PM2.5) particulate matter measurements in Europe: trends and variability, Atmos. Chem. Phys., 12, 3189–3203, https://doi.org/10.5194/acp-12-3189-2012, 2012.
Calkins, C., Ge, C., Wang, J., Anderson, M., and Yang, K.: Effects of meteorological conditions on sulfur dioxide air pollution in the North China Plain during winters of 2006–2015, Atmos. Environ., 147, 296–309, https://doi.org/10.1016/j.atmosenv.2016.10.005, 2016.
CEPB: Chengdu Environmental Protection Bureau, available at: http://www.cdepb.gov.cn/cdepbws/Web/Template/GovDefaultInfo.aspx?cid=236&aid=22738, last access: 25 May 2017, (in Chinese), 2013.
China, S. C. o.: State Council of P. R. China's notification on Action Plan for Air Pollution Prevention and Control, available at: http://www.gov.cn/zwgk/2013-09/12/content_2486773.htm, last access: 12 September 2013 (in Chinese).
Chitranshi, S., Sharma, S. P., and Dey, S.: Spatio-temporal variations in the estimation of PM10 from MODIS-derived aerosol optical depth for the urban areas in the Central Indo-Gangetic Plain, Meteorol. Atmos. Phys., 127, 107–121, https://doi.org/10.1007/s00703-014-0347-z, 2015.
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The generalized linear regression model (GLM), even based only on meteorological parameters, could be satisfactory to estimate the contribution of meteorological conditions in reducing air pollution and hence the contribution of control strategies in reducing air pollution. Using the GLM, we found that the meteorological conditions and pollution control strategies contributed 30 % and 28 % to the reduction of the PM2.5 concentration during APEC 2014 and 38 % and 25 % during Parade 2015.
The generalized linear regression model (GLM), even based only on meteorological parameters,...
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