Articles | Volume 20, issue 22
https://doi.org/10.5194/acp-20-14347-2020
https://doi.org/10.5194/acp-20-14347-2020
Research article
 | 
25 Nov 2020
Research article |  | 25 Nov 2020

Quantifying the emission changes and associated air quality impacts during the COVID-19 pandemic on the North China Plain: a response modeling study

Jia Xing, Siwei Li, Yueqi Jiang, Shuxiao Wang, Dian Ding, Zhaoxin Dong, Yun Zhu, and Jiming Hao

Viewed

Total article views: 3,218 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,150 1,029 39 3,218 269 32 63
  • HTML: 2,150
  • PDF: 1,029
  • XML: 39
  • Total: 3,218
  • Supplement: 269
  • BibTeX: 32
  • EndNote: 63
Views and downloads (calculated since 14 Jul 2020)
Cumulative views and downloads (calculated since 14 Jul 2020)

Viewed (geographical distribution)

Total article views: 3,218 (including HTML, PDF, and XML) Thereof 3,203 with geography defined and 15 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
Quantifying emission changes is a prerequisite for assessment of control effectiveness in improving air quality. However, traditional bottom-up methods usually take months to perform and limit timely assessments. A novel method was developed by using a response model that provides real-time estimation of emission changes based on air quality observations. It was successfully applied to quantify emission changes on the North China Plain due to the COVID-19 pandemic shutdown.
Altmetrics
Final-revised paper
Preprint