Articles | Volume 23, issue 11
Research article
07 Jun 2023
Research article |  | 07 Jun 2023

Unbalanced emission reductions of different species and sectors in China during COVID-19 lockdown derived by multi-species surface observation assimilation

Lei Kong, Xiao Tang, Jiang Zhu, Zifa Wang, Yele Sun, Pingqing Fu, Meng Gao, Huangjian Wu, Miaomiao Lu, Qian Wu, Shuyuan Huang, Wenxuan Sui, Jie Li, Xiaole Pan, Lin Wu, Hajime Akimoto, and Gregory R. Carmichael


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-729', Anonymous Referee #1, 19 Jan 2023
    • AC1: 'Reply on RC1', Lei Kong, 27 Mar 2023
  • RC2: 'Comment on acp-2022-729', Anonymous Referee #2, 08 Feb 2023
    • AC2: 'Reply on RC2', Lei Kong, 27 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Lei Kong on behalf of the Authors (27 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (09 Apr 2023) by Chul Han Song
RR by Anonymous Referee #2 (18 Apr 2023)
RR by Anonymous Referee #1 (21 Apr 2023)
ED: Publish as is (04 May 2023) by Chul Han Song
AR by Lei Kong on behalf of the Authors (06 May 2023)  Manuscript 
Short summary
A multi-air-pollutant inversion system has been developed in this study to estimate emission changes in China during COVID-19 lockdown. The results demonstrate that the lockdown is largely a nationwide road traffic control measure with NOx emissions decreasing by ~40 %. Emissions of other species only decreased by ~10 % due to smaller effects of lockdown on other sectors. Assessment results further indicate that the lockdown only had limited effects on the control of PM2.5 and O3 in China.
Final-revised paper