Articles | Volume 22, issue 8
Atmos. Chem. Phys., 22, 5495–5514, 2022
https://doi.org/10.5194/acp-22-5495-2022
Atmos. Chem. Phys., 22, 5495–5514, 2022
https://doi.org/10.5194/acp-22-5495-2022
Research article
26 Apr 2022
Research article | 26 Apr 2022

Estimation of secondary PM2.5 in China and the United States using a multi-tracer approach

Haoran Zhang et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-683', Anonymous Referee #3, 06 Dec 2021
    • AC1: 'Reply on RC1', Nan Li, 27 Mar 2022
  • RC2: 'Comment on acp-2021-683', Anonymous Referee #1, 01 Jan 2022
    • AC2: 'Reply on RC2', Nan Li, 27 Mar 2022
  • RC3: 'Comment on acp-2021-683', Anonymous Referee #4, 04 Jan 2022
    • AC3: 'Reply on RC3', Nan Li, 27 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Nan Li on behalf of the Authors (28 Mar 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (28 Mar 2022) by Ivan Kourtchev
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Short summary
We developed a new algorithm with low economic/technique costs to identify primary and secondary components of PM2.5. Our model was shown to be reliable by comparison with different observation datasets. We systematically explored the patterns and changes in the secondary PM2.5 pollution in China at large spatial and time scales. We believe that this method is a promising tool for efficiently estimating primary and secondary PM2.5, and has huge potential for future PM mitigation.
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