Quasi-weekly oscillation of regional PM <sub>2.5</sub> transport over China driven by the synoptic-scale disturbance of the East Asian winter monsoon circulation

Abstract. Regional PM2.5 transport is an important cause of atmospheric environment change. However, the variations in regional PM2.5 transport on a 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–receptor 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 the Siberian high. These findings provide new insights into the understanding of regional PM2.5 transport with the source–receptor relationship and the meteorological mechanism in atmospheric environment change.

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Publication Details

Journal
Atmospheric chemistry and physics
Published
2025-01-29
DOI
https://doi.org/10.5194/acp-25-1273-2025
Citations
4
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
5.20

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article

Quasi-weekly oscillation of regional PM 2.5 transport over China driven by the synoptic-scale disturbance of the East Asian winter monsoon circulation

Yanyu Yue, Tianliang Zhao, Yan Zhu, Weiyang Hu et al.
4 citations
Atmospheric chemistry and physics
Atmospheric chemistry and aerosols
5.20
article

Quasi-weekly oscillation of regional PM 2.5 transport over China driven by the synoptic-scale disturbance of the East Asian winter monsoon circulation

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

Abstract

Abstract. Regional PM2.5 transport is an important cause of atmospheric environment change. However, the variations in regional PM2.5 transport on a 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–receptor 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 the Siberian high. These findings provide new insights into the understanding of regional PM2.5 transport with the source–receptor relationship and the meteorological mechanism in atmospheric environment change.

Atmospheric chemistry and physicsVol. 25(2)
China Meteorological Administration (CN), Nanjing University of Information Science and Technology (CN), State Key Laboratory of Pollution Control and Resource Reuse (CN), Hebei Meteorological Bureau (CN), Jiangsu Institute of Meteorological Sciences (CN), Nanjing University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Atmospheric chemistry and aerosols
5.20
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