Articles | Volume 22, issue 24
Research article
22 Dec 2022
Research article |  | 22 Dec 2022

Decoupling impacts of weather conditions on interannual variations in concentrations of criteria air pollutants in South China – constraining analysis uncertainties by using multiple analysis tools

Yu Lin, Leiming Zhang, Qinchu Fan, He Meng, Yang Gao, Huiwang Gao, and Xiaohong Yao


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-502', Zongbo Shi, 30 Aug 2022
    • AC1: 'Reply on RC1', Xiaohong Yao, 07 Nov 2022
  • RC2: 'Comment on acp-2022-502', Anonymous Referee #2, 05 Oct 2022
    • AC2: 'Reply on RC2', Xiaohong Yao, 07 Nov 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Xiaohong Yao on behalf of the Authors (07 Nov 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (27 Nov 2022) by Rob MacKenzie
Short summary
In this study, we analyzed 7-year (from May 2014 to April 2021) concentration data of six criteria air pollutants (PM2.5, PM10, O3, NO2, CO and SO2) as well as the sum of NO2 and O3 in six cities in South China. Three different analysis methods were used to identify emission-driven interannual variations and perturbations from varying weather conditions. In addition, a self-developed method was further introduced to constrain analysis uncertainties.
Final-revised paper