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Spatial Distribution and Multiscale Transport Characteristics of PM2.5 in China

Category: Aerosol and Atmospheric Chemistry

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DOI: 10.4209/aaqr.2019.04.0202
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Qing Wang, Kun Luo , Jianren Fan, Xiang Gao, Kefa Cen

  • State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China

Highlights

  • Community Multi-scale Air Quality represents accepted performance in most provinces.
  • Local sources and regional transport are both contributors to PM2.5 concentrations.
  • Local emission contributes more than regional transport in each region.
  • Regional transport of PM2.5 affected by dominant wind mainly from surrounding areas.

Abstract

Weather Research and Forecasting (WRF) model coupled with Community Multiscale Air Quality (CMAQ) model was used to simulate temporal and spatial distribution and multiscale transport patterns of PM2.5 among 2 large regions (NORTH and SOUTH), 8 small regions (North, Northeast, East, Center, South, Southwest, Northwest and others) and 31 provinces in China in January and July of 2015. The simulated PM2.5 concentrations were compared with the observed values, showing the accuracy of WRF-CMAQ. In January and July, local emissions were the major contributors to PM2.5 concentrations with the percentage exceeding 60% in seven regions in China. Among 31 provinces, external transport was dominant source of PM2.5 in some provinces, such as Shanghai and Qinghai, and local emissions were the main contributors in other provinces, such as Hebei and Xinjiang. We also identified the major contributor of PM2.5 in each region, indicating distinctly different regional transport patterns among provinces and regions in China.

Keywords

Particulate Matter Regional transport WRF-CMAQ model Multiscale regions


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