Articles | Volume 21, issue 13
Atmos. Chem. Phys., 21, 10065–10080, 2021
https://doi.org/10.5194/acp-21-10065-2021
Atmos. Chem. Phys., 21, 10065–10080, 2021
https://doi.org/10.5194/acp-21-10065-2021

Research article 06 Jul 2021

Research article | 06 Jul 2021

Quantitative assessment of changes in surface particulate matter concentrations and precursor emissions over China during the COVID-19 pandemic and their implications for Chinese economic activity

Hyun Cheol Kim et al.

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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 hyuncheol kim on behalf of the Authors (22 Dec 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (23 Dec 2020) by James Allan
RR by Anonymous Referee #3 (29 Dec 2020)
RR by Anonymous Referee #1 (14 Jan 2021)
RR by Anonymous Referee #4 (28 Jan 2021)
ED: Reconsider after major revisions (10 Feb 2021) by James Allan
AR by hyuncheol kim on behalf of the Authors (01 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (01 Apr 2021) by James Allan
RR by Anonymous Referee #5 (25 Apr 2021)
RR by Anonymous Referee #3 (05 May 2021)
ED: Publish subject to minor revisions (review by editor) (06 May 2021) by James Allan
AR by hyuncheol kim on behalf of the Authors (13 May 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (17 May 2021) by James Allan
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Short summary
Global outbreaks of COVID-19 offer rare opportunities of natural experiments in emission control and corresponding responses of tropospheric chemistry. This study's novel approach investigates (1) isolating the pandemic's impact from natural and anthropogenic variations, (2) emission adjustment to reproduce real-time emissions, and (3) brute-force modeling to investigate Chinese economic activities. Results provide characteristics of the region's chemistry and emissions.
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