Articles | Volume 17, issue 22
https://doi.org/10.5194/acp-17-13921-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-17-13921-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The role of meteorological conditions and pollution control strategies in reducing air pollution in Beijing during APEC 2014 and Victory Parade 2015
Pengfei Liang
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Yanhua Fang
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Yingruo Li
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Environmental Meteorology Forecast Center of
Beijing-Tianjin-Hebei, China Meteorological Administration, Beijing,
100089, China
Yiqun Han
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Yusheng Wu
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
Junxia Wang
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and
Engineering, Peking University, Beijing, 100871, China
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Latest update: 20 Nov 2024
Short summary
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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