Haoyue Wang1, Wenxuan Sui1,2, Xiao Tang 2,6, Miaomiao Lu2,3, Huangjian Wu2, Lei Kong2,4, Lina Han5, Lin Wu2, Weiguo Wang1, Zifa Wang2,4,6

Department of Atmospheric Sciences, Yunnan University, Kunming 650500, China
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
University of Chinese Academy of Sciences, Beijing 100049, China
Department of Atmospheric Sciences, Chengdu University of Information and Technology, Chengdu 610225, China
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 


Received: March 21, 2019
Revised: July 31, 2019
Accepted: September 3, 2019
Download Citation: ||https://doi.org/10.4209/aaqr.2019.03.0125 


Cite this article:
Wang, H., Sui, W., Tang, X., Lu, M., Wu, H., Kong, L., Han, L., Wu, L., Wang, W. and Wang, Z. (2019). Simulation-based Design of Regional Emission Control Experiments with Simultaneous Pollution of O3 and PM2.5 in Jinan, China. Aerosol Air Qual. Res. 19: 2543-2556. https://doi.org/10.4209/aaqr.2019.03.0125


Highlights

  • Performed emission control experiments under O3 and PM2.5 simultaneous pollution.
  • An effective emission reduction scheme was established for PM2.5 and O3 pollution.
  • The source tagging modeling results are beneficial to design regional control measures.
 

ABSTRACT


High O3 and PM2.5 concentrations were frequently observed in Jinan during June 2015 and simultaneously occurred on 8 days, with a maximum 8-hour-averaged O3 concentration of 255 µg m–3 and a maximum daily averaged PM2.5 concentration of 111 µg m–3. In order to investigate simultaneously controlling these two air pollutants, two simulation-based regional emission control experiments were designed using a nested air quality prediction model system (NAQPMS). One emission control scenario (“Conventional Control”) implemented the strictest control measures in Jinan and surrounding areas and resulted in a 15.7% reduction of O3 and a 21.3% reduction of PM2.5 on days polluted by O3 and PM2.5, respectively. The other emission control scenario (“Source-tagging Control”), by contrast, used online source-tagging modeling results from NAQPMS to select emission reduction regions based on their source contributions to the O3 and the PM2.5 in Jinan and resulted in a 16.2% reduction of O3 and a 22.8% reduction of PM2.5 on days polluted by O3 and PM2.5, respectively. Compared to Conventional Control, this scheme produced smaller reductions in emissions from areas with low contributions to the O3 and PM2.5 concentrations in Jinan as well as in the total emissions of primary pollutants (the reduced emissions was only 61% of that needed by Conventional Control), and the area and the population affected by these reductions decreased by 12% and 31%, respectively. However, this study demonstrates that Source-tagging Control is more efficient than Conventional Control in reducing simultaneous pollution by O3 and PM2.5 through regional measures.


Keywords: Emission control; Source-tagging method; Simultaneous pollution; O3; PM2.5.




Impact Factor: 2.735

5-Year Impact Factor: 2.827


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