Baolei Lv1, Yu Liu2, Peng Yu3, Bin Zhang1, Yuqi Bai 1

  • 1 Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, 100084, China
  • 2 Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China
  • 3 Department of Hydraulic Engineering , Tsinghua University, Beijing, 100084, China

Received: April 27, 2015
Revised: July 18, 2015
Accepted: July 19, 2015
Download Citation: ||https://doi.org/10.4209/aaqr.2015.04.0266  

  • Download: PDF


Cite this article:
Lv, B., Liu, Y., Yu, P., Zhang, B. and Bai, Y. (2015). Characterizations of PM2.5 Pollution Pathways and Sources Analysis in Four Large Cities in China. Aerosol Air Qual. Res. 15: 1836-1843. https://doi.org/10.4209/aaqr.2015.04.0266


HIGHLIGHTS

  • We characterize the PM2.5 pollution pathways in four mega cities in China.
  • We analyze contributions of regional/local sources with a novel method.
  • There are strong regional transport pathways in Beijing and Shanghai.
  • Regional and local emissions both cause PM2.5 pollutions in Beijing and Shanghai.
  • PM2.5 pollution in Guangzhou and Chengdu are mainly caused by local sources.

 

ABSTRACT


Particulate matter with an aerodynamic diameter of 2.5 micrometers or less (PM2.5) is a primary pollutant in most cities in China. PM2.5 poses a significant human health risk, especially in the most densely populated urban areas. We used observations of PM2.5 and backward air mass trajectories modeled by HYSPLIT-4. We characterize how air movement patterns influence pollution levels in four large cities of China. Then we developed a method to evaluate regional and local sources and contributions of PM2.5. For Beijing and Shanghai, PM2.5 concentrations are sensitive to air moving direction, indicating significant influence of air movement on PM2.5 pollution. In Beijing, PM2.5 concentrations were higher when the air masses were from the south and the east. In Shanghai, pollution was greater with northerly air mass flows. Regional contributions of PM2.5 in Beijing during 2013 were 46, 62, 52, and 39% in spring, summer, autumn and winter, respectively. In Shanghai, regional contributions over four seasons were 36, 39, 45, and 35%. In Guangzhou and Chengdu, PM2.5 concentrations were more sensitive to speed rather than direction of air mass movements, indicating weaker pollution pathways. In Guangzhou, regional contributions were smaller over the four seasons: 15, 28, 16, and 22% while in Chengdu, they are 21, 52, 28, and 14%. These results are comparable to previous results obtained using complex atmospheric chemical transport models.


Keywords: PM2.5; China; Source analysis; Large city; Pollution pathway


Don't forget to share this article 

 

Subscribe to our Newsletter 

Aerosol and Air Quality Research has published over 2,000 peer-reviewed articles. Enter your email address to receive latest updates and research articles to your inbox every second week.

Latest coronavirus research from Aerosol and Air Quality Research

2018 Impact Factor: 2.735

5-Year Impact Factor: 2.827


SCImago Journal & Country Rank

Aerosol and Air Quality Research (AAQR) is an independently-run non-profit journal, promotes submissions of high-quality research, and strives to be one of the leading aerosol and air quality open-access journals in the world.