Articles | Volume 26, issue 6
https://doi.org/10.5194/acp-26-4231-2026
https://doi.org/10.5194/acp-26-4231-2026
Research article
 | 
26 Mar 2026
Research article |  | 26 Mar 2026

Investigation of aerosol transport flux structure over Beijing based on lidar observations and the impact of dust transport on air quality

Zhengguo Tian, Longlong Wang, Si Liu, Cheng Yao, Tong Lu, Weijie Zou, Zhenping Yin, Yun He, Lei Li, Bin Zhang, Daru Chen, Zhichao Bu, Yubao Chen, and Xuan Wang

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-4789', Anonymous Referee #1, 19 Dec 2025
    • AC1: 'Reply on RC1', Longlong Wang, 28 Jan 2026
  • RC2: 'Comment on egusphere-2025-4789', Anonymous Referee #2, 22 Dec 2025
    • AC2: 'Reply on RC2', Longlong Wang, 28 Jan 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Longlong Wang on behalf of the Authors (28 Jan 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (04 Feb 2026) by Andreas Petzold
RR by Anonymous Referee #1 (09 Feb 2026)
RR by Anonymous Referee #2 (12 Feb 2026)
ED: Publish subject to minor revisions (review by editor) (12 Feb 2026) by Andreas Petzold
AR by Longlong Wang on behalf of the Authors (15 Feb 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (19 Mar 2026) by Andreas Petzold
AR by Longlong Wang on behalf of the Authors (21 Mar 2026)  Manuscript 
Download
Short summary
This study investigates aerosol transport flux structure over Beijing and dust transport's impact on air quality using polarization lidar and Doppler wind profiling lidar, focusing on a 2–4 November 2023, winter haze event. It classifies dust and non-dust aerosols via particle depolarization ratio, calculates their vertical/horizontal mass flux profiles with the covariance method, and analyzes meteorological influences.
Share
Altmetrics
Final-revised paper
Preprint