Articles | Volume 21, issue 11
Research article
09 Jun 2021
Research article |  | 09 Jun 2021

Modeling the impact of COVID-19 on air quality in southern California: implications for future control policies

Zhe Jiang, Hongrong Shi, Bin Zhao, Yu Gu, Yifang Zhu, Kazuyuki Miyazaki, Xin Lu, Yuqiang Zhang, Kevin W. Bowman, Takashi Sekiya, and Kuo-Nan Liou


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Bin Zhao on behalf of the Authors (10 Apr 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 Apr 2021) by Zhanqing Li
RR by Anonymous Referee #1 (15 Apr 2021)
RR by Anonymous Referee #3 (29 Apr 2021)
ED: Publish as is (04 May 2021) by Zhanqing Li
AR by Bin Zhao on behalf of the Authors (09 May 2021)  Manuscript 
Short summary
We use the COVID-19 pandemic as a unique natural experiment to obtain a more robust understanding of the effectiveness of emission reductions toward air quality improvement by combining chemical transport simulations and observations. Our findings imply a shift from current control policies in California: a strengthened control on primary PM2.5 emissions and a well-balanced control on NOx and volatile organic compounds are needed to effectively and sustainably alleviate PM2.5 and O3 pollution.
Final-revised paper