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

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

doi:https://doi.org/10.5194/acp-20-14347-2020

Articles | Volume 20, issue 22

https://doi.org/10.5194/acp-20-14347-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-20-14347-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 22

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

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Final revised paper (published on 25 Nov 2020)
Supplement to the final revised paper
Preprint (discussion started on 14 Jul 2020)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review', Anonymous Referee #1, 26 Aug 2020
RC2: 'Comments for acp-2020-522', Anonymous Referee #2, 27 Aug 2020
- AC2: 'Reply to the comments from Reviewer #2', J. X. XING, 03 Oct 2020
- AC3: 'Reply to the comments from Reviewer #2', J. X. XING, 03 Oct 2020
AC1: 'Reply to the comments from Reviewer #1', J. X. XING, 03 Oct 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by J. X. XING on behalf of the Authors (03 Oct 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (14 Oct 2020) by Tim Butler

RR by Anonymous Referee #1 (15 Oct 2020)

ED: Publish as is (15 Oct 2020) by Tim Butler

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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.