The significant contribution of HONO to secondary pollutants during a severe winter pollution event in southern China

Fu, Xiao; Wang, Tao; Zhang, Li; Li, Qinyi; Wang, Zhe; Xia, Men; Yun, Hui; Wang, Weihao; Yu, Chuan; Yue, Dingli; Zhou, Yan; Zheng, Junyun; Han, Rui

doi:https://doi.org/10.5194/acp-19-1-2019

Articles | Volume 19, issue 1

https://doi.org/10.5194/acp-19-1-2019

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

Special issue:

Regional transport and transformation of air pollution in...

https://doi.org/10.5194/acp-19-1-2019

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

Articles | Volume 19, issue 1

Research article

|

02 Jan 2019

Research article |

| 02 Jan 2019

The significant contribution of HONO to secondary pollutants during a severe winter pollution event in southern China

Xiao Fu, Tao Wang, Li Zhang, Qinyi Li, Zhe Wang, Men Xia, Hui Yun, Weihao Wang, Chuan Yu, Dingli Yue, Yan Zhou, Junyun Zheng, and Rui Han

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Final revised paper (published on 02 Jan 2019)
Supplement to the final revised paper
Preprint (discussion started on 17 Sep 2018)
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Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Referee Comment', Anonymous Referee #1, 10 Oct 2018
- AC1: 'Response to RC1', Tao Wang, 22 Nov 2018
RC2: 'Review', Anonymous Referee #2, 15 Oct 2018
- AC2: 'Response to RC2', Tao Wang, 22 Nov 2018

Peer-review completion

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

AR by Tao Wang on behalf of the Authors (25 Nov 2018) Author's response Manuscript

ED: Publish as is (10 Dec 2018) by Dwayne Heard

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Short summary

This study has identified the major contributors to the observed high HONO levels during a severe winter pollution episode and highlighted the importance of HONO chemistry in the combined photochemical and haze pollution in a subtropical region. It also highlighted the critical need to include and update HONO sources in regional air quality models in order to predict ozone and other secondary pollutants better during heavy pollution events in southern China and similar regions.