Wei Wen1,2, Xiaodong He 1, Xin Ma 3, Peng Wei4, Shuiyuan Cheng5, Xiaoqi Wang5, Lei Liu2

1 Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
2 Key Laboratory of Atmospheric Chemistry, China Meteorological Administration, Beijing 100081, China
3 National Meteorological Center, Beijing 100081, China
4 Chinese Research Academy of Environment Science, Beijing 100012, China
5 Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China

Received: October 22, 2017
Revised: December 9, 2017
Accepted: December 23, 2017
Download Citation: ||https://doi.org/10.4209/aaqr.2017.10.0406  

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Cite this article:
Wen, W., He, X., Ma, X., Wei, P., Cheng, S., Wang, X. and Liu, L. (2018). Understanding the Regional Transport Contributions of Primary and Secondary PM2.5 Components over Beijing during a Severe Pollution Episodes. Aerosol Air Qual. Res. 18: 1720-1733. https://doi.org/10.4209/aaqr.2017.10.0406


  • The model was applied to study the regional transport of PM2.5 components.
  • The secondary components are more easily affected by transport than the primary.
  • The strategies require coordinated effort to reduce long-range transport and local generation.



This study applied the CAMx model to study the regional transport of various PM2.5 components in Beijing during a severe pollution episodes. The results revealed that during the episodes, Beijing had the average PM2.5 pollution value of 119 µg m–3. It was 1.58 times of the PM2.5 national air quality standard (75 µg m–3 Level II). The wind speed was low (< 2 m s–1) and relative humidity reached 98%. The anticyclone in Eastern China showed weak local flow fields and southerly winds at the surface and strong temperature inversion under 1000 m, which promote pollution accumulation. The contribution of monthly regional transport to primary PM2.5 components and SO42–, NO3, and secondary organic aerosol concentrations in Beijing were 29.6%, 41.5%, 58.7%, and 60.6%, respectively. The emissions from Baoding had the greatest effect on the primary components of PM2.5 (6.1%) in Beijing. The emissions from Tianjin had the greatest influence on the secondary components of PM2.5 concentrations. These values indicated that the secondary components of Beijing’s PM2.5 are more easily affected by transboundary transport than are the primary components. The present findings suggest that control strategies for PM2.5 pollution should include coordinated efforts aimed at reducing secondary aerosol precursors (SO2, NOx, and VOCs) from long-range transport and local generation in addition to primary particulate emissions.

Keywords: PM2.5 pollution; Regional transport; Secondary component; Air quality modeling.


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