Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 24, issue 11
Articles | Volume 24, issue 11
https://doi.org/10.5194/acp-24-6539-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-6539-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 11
Research article
 | 
04 Jun 2024
Research article |  | 04 Jun 2024

Impact of weather patterns and meteorological factors on PM2.5 and O3 responses to the COVID-19 lockdown in China

Fuzhen Shen, Michaela I. Hegglin, and Yue Yuan

Viewed

Total article views: 3,139 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,165 871 103 3,139 141 110 169
  • HTML: 2,165
  • PDF: 871
  • XML: 103
  • Total: 3,139
  • Supplement: 141
  • BibTeX: 110
  • EndNote: 169
Views and downloads (calculated since 04 Dec 2023)
Cumulative views and downloads (calculated since 04 Dec 2023)

Viewed (geographical distribution)

Total article views: 3,139 (including HTML, PDF, and XML) Thereof 3,123 with geography defined and 16 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 30 Apr 2026
Download
Short summary
We attempt to use a novel structural self-organising map and machine learning models to identify a weather system and quantify the importance of each meteorological factor in driving the unexpected PM2.5 and O3 changes under the specific weather system during the COVID-19 lockdown in China. The result highlights that temperature under the double-centre high-pressure system plays the most crucial role in abnormal events.
Read more
Share
Altmetrics
Final-revised paper
Preprint