Articles | Volume 16, issue 5
Research article
10 Mar 2023
Research article |  | 10 Mar 2023

Typhoon-associated air quality over the Guangdong–Hong Kong–Macao Greater Bay Area, China: machine-learning-based prediction and assessment

Yilin Chen, Yuanjian Yang, and Meng Gao


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-225', Anonymous Referee #1, 03 Oct 2022
    • AC1: 'Reply on RC1', Yilin Chen, 30 Dec 2022
  • RC2: 'Comment on amt-2022-225', Anonymous Referee #3, 09 Dec 2022
    • AC2: 'Reply on RC2', Yilin Chen, 30 Dec 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yilin Chen on behalf of the Authors (30 Dec 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (08 Jan 2023) by Simone Lolli
RR by Anonymous Referee #3 (25 Jan 2023)
RR by Anonymous Referee #4 (15 Feb 2023)
ED: Publish as is (21 Feb 2023) by Simone Lolli
AR by Yilin Chen on behalf of the Authors (22 Feb 2023)
Short summary
The Guangdong–Hong Kong–Macao Greater Bay Area suffers from summertime air pollution events related to typhoons. The present study leverages machine learning to predict typhoon-associated air quality over the area. The model evaluation shows that the model performs excellently. Moreover, the change in meteorological drivers of air quality on typhoon days and non-typhoon days suggests that air pollution control strategies should have different focuses on typhoon days and non-typhoon days.