Articles | Volume 18, issue 9
https://doi.org/10.5194/acp-18-6733-2018
https://doi.org/10.5194/acp-18-6733-2018
Research article
 | 
14 May 2018
Research article |  | 14 May 2018

Synoptic meteorological modes of variability for fine particulate matter (PM2.5) air quality in major metropolitan regions of China

Danny M. Leung, Amos P. K. Tai, Loretta J. Mickley, Jonathan M. Moch, Aaron van Donkelaar, Lu Shen, and Randall V. Martin

Viewed

Total article views: 4,889 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,985 1,803 101 4,889 567 66 112
  • HTML: 2,985
  • PDF: 1,803
  • XML: 101
  • Total: 4,889
  • Supplement: 567
  • BibTeX: 66
  • EndNote: 112
Views and downloads (calculated since 16 Oct 2017)
Cumulative views and downloads (calculated since 16 Oct 2017)

Viewed (geographical distribution)

Total article views: 4,889 (including HTML, PDF, and XML) Thereof 4,820 with geography defined and 69 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Nov 2024
Download
Short summary
This paper investigates how large-scale weather systems control fine particulate matter (PM2.5) air quality in China. We show that winter monsoons, onshore winds and frontal rains can drive daily PM2.5 variability in different regions of China. We further project future PM2.5 concentration change by 2050s due to climate change, and verify that climate change has little benefit on future PM2.5 in Beijing, implying cutting down emissions is necessary to mitigate pollutions in megacities of China.
Altmetrics
Final-revised paper
Preprint