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Simulation-based Design of Regional Emission Control Experiments under Simultaneous Pollution of O3 and PM2.5 in Jinan, China

Category: Air Pollution Modeling

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DOI: 10.4209/aaqr.2019.03.0125
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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

  • 1 Department of Atmospheric Sciences, Yunnan University, Kunming 650500, China
  • 2 LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • 3 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
  • 4 University of Chinese Academy of Sciences, Beijing 100049, China
  • 5 Department of Atmospheric Sciences, Chengdu University of Information and Technology, Chengdu 610225, China
  • 6 Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China

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. The simultaneous pollutions of O3 and PM2.5 occurred on 8 days in June with the maximum 8-hour average O3 concentration of 255μg m-3 and the maximum daily average PM2.5 concentration of 111μg m-3. In order to investigate how to perform simultaneous control of the 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 (named conventional control) was reducing the emissions over Jinan and surrounding areas with the strictest control measures. The results suggested that this control scenario resulted in 15.7% reduction of O3 concentrations on O3 polluted days and 21.3% reduction of PM2.5 concentrations on PM2.5 polluted days. The other emission control scenario (named source-tagging control) was designed based on the online source tagging modeling results from NAQPMS. Different from the conventional control, the emission reduction region was selected based on their source contributions to O3 and PM2.5 concentrations in Jinan. And the emission reduction intensity over the areas with small source contributions to O3 and PM2.5 concentrations in Jinan were significantly lower than that in conventional control. The total reduction emissions of primary pollutants were only 61% of that in the conventional control, and the areas and population affected of this control were also smaller than the conventional control by 12% and 31% respectively. The modeling results suggest that the source-tagging control can bring out a slightly better control effect than the conventional control. 16.2% reduction of O3 was obtained on O3 polluted days and 22.8% reduction of PM2.5 concentrations on PM2.5 polluted days. This highlights the advantages and potentials of using the source tagging modeling results in designing the regional control measures under the simultaneous pollution of O3 and PM2.5.

Keywords

Emission control Source tagging method Simultaneous pollution O3 PM2.5


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