Preprints
https://doi.org/10.5194/egusphere-2024-2493
https://doi.org/10.5194/egusphere-2024-2493
18 Sep 2024
 | 18 Sep 2024

Quasi-weekly oscillation of regional PM2.5 transport over China driven by the synoptic-scale disturbance of East Asian Winter Monsoon circulation

Yongqing Bai, Tianliang Zhao, Kai Meng, Yue Zhou, Jie Xiong, Xiaoyun Sun, Lijuan Shen, Yanyu Yue, Yan Zhu, Weiyang Hu, and Jingyan Yao

Abstract. The regional PM2.5 transport is one of the important causes for atmospheric environment change. However, the variations of regional PM2.5 transport in synoptic scale with meteorological drivers have been incomprehensively understood. Therefore, this study is targeted at the quasi-weekly oscillation (QWO) of regional PM2.5 transport over central and eastern China (CEC) with the influence of synoptic-scale disturbance of the East Asian Winter Monsoon (EAWM) circulation. By constructing the data of daily PM2.5 transport flux in CEC in the winters of 2015–2019, we utilize the extended empirical orthogonal function (EEOF) decomposition and other statistical methods to extract the moving spatial distribution of regional PM2.5 transport over CEC, recognizing the QWO in regional PM2.5 transport with the spatial-temporal variations over CEC. The source-acceptor relationship in regional transport of PM2.5 is identified with the 2-d lag effect of the North China Plain, as the upwind source region, on the PM2.5 pollution change in the Twain-Hu Basin, as the downwind receptor region in central China. The QWO of regional PM2.5 transport over CEC is regulated by the synoptic-scale disturbance of the EAWM circulation with the periodic activities of Siberian high. These findings could provide new insight into the understanding of regional PM2.5 transport with source-receptor relationship and the meteorological mechanism in atmospheric environment change.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Yongqing Bai, Tianliang Zhao, Kai Meng, Yue Zhou, Jie Xiong, Xiaoyun Sun, Lijuan Shen, Yanyu Yue, Yan Zhu, Weiyang Hu, and Jingyan Yao

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-2493', I. Pérez, 14 Oct 2024
    • AC3: 'Reply on RC1', Yongqing Bai, 10 Nov 2024
  • RC2: 'Comment on egusphere-2024-2493', Anonymous Referee #2, 22 Oct 2024
    • AC1: 'Reply on RC2', Yongqing Bai, 10 Nov 2024
  • RC3: 'Comment on egusphere-2024-2493', Anonymous Referee #3, 06 Nov 2024
    • AC2: 'Reply on RC3', Yongqing Bai, 10 Nov 2024
Yongqing Bai, Tianliang Zhao, Kai Meng, Yue Zhou, Jie Xiong, Xiaoyun Sun, Lijuan Shen, Yanyu Yue, Yan Zhu, Weiyang Hu, and Jingyan Yao
Yongqing Bai, Tianliang Zhao, Kai Meng, Yue Zhou, Jie Xiong, Xiaoyun Sun, Lijuan Shen, Yanyu Yue, Yan Zhu, Weiyang Hu, and Jingyan Yao

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Short summary
We proposed a composite statistical method to discern the long-term moving spatial distribution with Quasi-weekly oscillation (QWO) of regional PM2.5 transport over China. The QWO of regional PM2.5 transport is constrained by synoptic-scale disturbances of the East Asian Winter Monsoon circulation with the periodic activities of Siberian high, providing a new insight into the understanding of regional pollutant transport with meteorological drivers in atmospheric environment changes.