Effectiveness of short-term air quality emission controls: a high-resolution model study of Beijing during the Asia-Pacific Economic Cooperation (APEC) summit period
Tabish Umar Ansari,Oliver Wild,Jie Li,Ting Yang,Weiqi Xu,Yele Sun,and Zifa Wang
Lancaster Environment Centre, Lancaster University, Lancaster, UK
Jie Li
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute
of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute
of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Weiqi Xu
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute
of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute
of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Zifa Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute
of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
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We explore the effectiveness of short-term emission controls on haze events in Beijing in October–November 2014 with high-resolution model studies. The model captures observed hourly variation in key pollutants well, but representation of boundary layer processes remains a key constraint. The controls contributed to improved air quality in early November but would not have been sufficient had the meteorology been less favourable. We quantify the much more stringent controls needed in that case.
We explore the effectiveness of short-term emission controls on haze events in Beijing in...
