Qing Wang, Kun Luo , Jianren Fan, Xiang Gao, Kefa Cen


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



Received: April 13, 2019
Revised: June 26, 2019
Accepted: July 31, 2019
Download Citation: ||https://doi.org/10.4209/aaqr.2019.04.0202  

  • Download: PDF


Cite this article:
Wang, Q., Luo, K., Fan, J., Gao, X. and Cen, K. (2019). Spatial Distribution and Multiscale Transport Characteristics of PM2.5 in China. Aerosol Air Qual. Res. 19: 1993-2007. https://doi.org/10.4209/aaqr.2019.04.0202


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


The Weather Research and Forecasting (WRF) model coupled with the Community Multiscale Air Quality (CMAQ) model was used to simulate the temporal and spatial distribution and the multiscale transport patterns of PM2.5 in 2 large regions (“NORTH” and “SOUTH”), 7 small regions (“North,” “Northeast,” “East,” “Center,” “South,” “Southwest,” and “Northwest”) and 31 provinces in China during January and July of 2015. The simulated PM2.5 concentrations were compared with the observed values to assess the accuracy of WRF-CMAQ. During January and July, local emissions contributed the majority of the PM2.5, with their percentage exceeding 60% in 7 of the regions. External transport was the dominant source of PM2.5 in some of the provinces, such as Shanghai and Qinghai, whereas local emission was the main contributor in others, such as Hebei and Xinjiang. We also identified the primary PM2.5 source in each region, the results of which indicated distinctly different regional transport patterns among the provinces and regions of China.


Keywords: Particulate matter; Regional transport; WRF-CMAQ model; Multiscale regions.

 



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.