Articles | Volume 21, issue 24
Atmos. Chem. Phys., 21, 18589–18608, 2021
https://doi.org/10.5194/acp-21-18589-2021

Special issue: Air quality research at street level (ACP/GMD inter-journal...

Atmos. Chem. Phys., 21, 18589–18608, 2021
https://doi.org/10.5194/acp-21-18589-2021

Research article 22 Dec 2021

Research article | 22 Dec 2021

The drivers and health risks of unexpected surface ozone enhancements over the Sichuan Basin, China, in 2020

Youwen Sun et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'use of potential vorticity', Heini Wernli, 23 Sep 2021
    • AC1: 'Reply on CC1', Youwen Sun, 26 Oct 2021
  • RC1: 'Comment on acp-2021-664', Anonymous Referee #1, 28 Sep 2021
    • AC2: 'Reply on RC1', Youwen Sun, 04 Nov 2021
      • AC4: 'Reply on AC2', Youwen Sun, 04 Nov 2021
      • AC5: 'Reply on AC2', Youwen Sun, 04 Nov 2021
  • RC2: 'Comment on acp-2021-664', Anonymous Referee #2, 15 Oct 2021
    • AC3: 'Reply on RC2', Youwen Sun, 04 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Youwen Sun on behalf of the Authors (08 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (18 Nov 2021) by Karine Sartelet
Download
Short summary
This study uses high-resolution nested-grid GEOS-Chem simulation, the eXtreme Gradient Boosting (XGBoost) machine learning method, and the exposure–response relationship to determine the drivers and evaluate the health risks of the unexpected surface O3 enhancements over the Sichuan Basin in 2020. These unexpected O3 enhancements were induced by meteorological anomalies and caused dramatically high health risks.
Altmetrics
Final-revised paper
Preprint