Development and application of observable response indicators for design of an effective ozone and fine-particle pollution control strategy in China

Xing, Jia; Ding, Dian; Wang, Shuxiao; Dong, Zhaoxin; Kelly, James T.; Jang, Carey; Zhu, Yun; Hao, Jiming

doi:https://doi.org/10.5194/acp-19-13627-2019

Articles | Volume 19, issue 21

https://doi.org/10.5194/acp-19-13627-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-19-13627-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 21

Research article

|

11 Nov 2019

Research article |

| 11 Nov 2019

Development and application of observable response indicators for design of an effective ozone and fine-particle pollution control strategy in China

Jia Xing, Dian Ding, Shuxiao Wang, Zhaoxin Dong, James T. Kelly, Carey Jang, Yun Zhu, and Jiming Hao

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Final revised paper (published on 11 Nov 2019)
Supplement to the final revised paper
Preprint (discussion started on 22 May 2019)
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: 'Minor improvements needed', Anonymous Referee #1, 23 Jul 2019
- AC1: 'reply to the comments from Anonymous Referee #1', J. X. XING, 29 Sep 2019
RC2: 'Assumes emissions change uniformly throughout China and that polynomial representation of CTM is perfect?', Anonymous Referee #3, 29 Aug 2019
- AC2: 'reply to the comments from Anonymous Referee #3', J. X. XING, 29 Sep 2019

Peer-review completion

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

AR by J. X. XING on behalf of the Authors (29 Sep 2019) Author's response Manuscript

ED: Publish as is (12 Oct 2019) by Joshua Fu

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Short summary

The study aims at addressing the challenge in efficient quantification of the nonlinear response of air pollution to precursor emission perturbations. The newly developed observable response indicators can be easily calculated by a combination of ambient concentrations of certain species. Their capability in representing the spatial and temporal variation in PM_2.5 and O₃ chemistry has also been well evaluated and applied in China.