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Fine Particulate Matter and Ozone Pollution in the 18 Cities of Sichuan Basin, Southwestern China: Model Performance and Characteristics

Category: Air Pollution Modeling

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DOI: 10.4209/aaqr.2019.05.0235
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Xue Qiao1,2,3, Hao Guo3, Pengfei Wang3, Ya Tang4, Qi Ying5, Xing Zhao6, Wenye Deng7, Hongliang Zhang 3

  • 1 Institute of New Energy and Low-carbon Technology and Healthy Food Evaluation Research Center, Sichuan University, Chengdu 610065, China
  • 2 State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
  • 3 Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
  • 4 College of Architecture and Environment and Healthy Food Evaluation Research Center, Sichuan University, Chengdu 610065, China
  • 5 Zachry Department of Civil Engineering, Texas A&M University, College Station, TX 77843, USA
  • 6 Department of Epidemiology and Biostatistics, West China School of Public Health, Sichuan University, Chengdu 610041, China
  • 7 Xinjiang Academy of Environmental Protection Science, Urumqi 830011, China

Highlights

  • The model performance is good for daily PM2.5 in both summer and winter.
  • The model performance on 1-hr and 8-hr O3 in summer meets the US EPA criteria.
  • Time-series patterns of daily PM2.5 and 8-hr O3 are similar among the 18 cities.
  • Primary organic aerosols and SO42– are the top contributors to PM2.5 in winter.
  • Spatial changes of O3 and PM2.5 reflect trans-boundary transport of air pollutants.

Abstract

Sichuan Basin (SCB) is located in southwestern China and has a total population of 108.1 million from 18 cities, including the two largest cities in western China (Chengdu and Chongqing). As most air quality monitoring stations are located in urban areas, we simulated PM2.5 (i.e., particulate matter with an aerodynamic diameter 70% days in winter. In summer, almost the entire basin does not meet the WHO guideline of 8-hr O3 (~47 ppb) on >40% days. Based on the aforementioned spatial patterns of PM2.5 and O3 concentrations and wind directions within the basin, a strong controlling on SCB emissions alone may greatly reduce PM2.5 and O3 concentrations within the basin.

Keywords

Chengdu Chongqing Spatio-temporal Variations Air Pollution


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