Articles | Volume 23, issue 22
https://doi.org/10.5194/acp-23-14505-2023
https://doi.org/10.5194/acp-23-14505-2023
Research article
 | 
24 Nov 2023
Research article |  | 24 Nov 2023

Dynamics-based estimates of decline trend with fine temporal variations in China's PM2.5 emissions

Zhen Peng, Lili Lei, Zhe-Min Tan, Meigen Zhang, Aijun Ding, and Xingxia Kou

Viewed

Total article views: 1,162 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
846 258 58 1,162 41 34 49
  • HTML: 846
  • PDF: 258
  • XML: 58
  • Total: 1,162
  • Supplement: 41
  • BibTeX: 34
  • EndNote: 49
Views and downloads (calculated since 28 Apr 2023)
Cumulative views and downloads (calculated since 28 Apr 2023)

Viewed (geographical distribution)

Total article views: 1,162 (including HTML, PDF, and XML) Thereof 1,135 with geography defined and 27 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 05 Dec 2024
Download
Short summary
Annual PM2.5 emissions in China consistently decreased by about 3% to 5% from 2017 to 2020 with spatial variations and seasonal dependencies. High-temporal-resolution and dynamics-based PM2.5 emission estimates provide quantitative diurnal variations for each season. Significant reductions in PM2.5 emissions in the North China Plain and northeast of China in 2020 were caused by COVID-19.
Altmetrics
Final-revised paper
Preprint