Articles | Volume 13, issue 2
Earth Syst. Dynam., 13, 1029–1039, 2022
https://doi.org/10.5194/esd-13-1029-2022
Earth Syst. Dynam., 13, 1029–1039, 2022
https://doi.org/10.5194/esd-13-1029-2022
Research article
21 Jun 2022
Research article | 21 Jun 2022

Complex network analysis of fine particulate matter (PM2.5): transport and clustering

Na Ying et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on esd-2022-9', Anonymous Referee #1, 08 Apr 2022
    • AC2: 'Reply on RC1', Na Ying, 20 Apr 2022
  • RC2: 'Comment on esd-2022-9', Anonymous Referee #2, 17 Apr 2022
    • AC1: 'Reply on RC2', Na Ying, 20 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (28 Apr 2022) by Ben Kravitz
AR by Na Ying on behalf of the Authors (04 May 2022)  Author's response    Author's tracked changes
ED: Publish subject to minor revisions (review by editor) (06 May 2022) by Ben Kravitz
AR by Na Ying on behalf of the Authors (13 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (16 May 2022) by Ben Kravitz
AR by Na Ying on behalf of the Authors (23 May 2022)  Author's response    Manuscript
Download
Short summary
A complex PM2.5 measurement network has been built to investigate transport patterns and cooperative regions in China. Network-based degree measurements are used to reveal the spatial transport pattern of PM2.5. The study also attempts to investigate the seasonal transport path of PM2.5. In addition, the cooperation regions of PM2.5 are quantified according to their synchronicity characteristics. The proposed study can be applied to other air pollutant data, such as ozone and NOx.
Altmetrics
Final-revised paper
Preprint