Urban Surface Ozone Concentration in Mainland China during 2015–2020: Spatial Clustering and Temporal Dynamics

Youru Yao, Kang Ma, Cheng He (), Yong Zhang, Yuesheng Lin, Fengman Fang, Shiyin Li and Huan He ()
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Youru Yao: Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze-Huaihe River Basin, School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China
Kang Ma: Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze-Huaihe River Basin, School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China
Cheng He: Helmholtz Zentrum München–German Research Center for Environmental Health (GmbH), Institute of Epidemiology, 85764 Neuherberg, Germany
Yong Zhang: Department of Geological Sciences, University of Alabama, Tuscaloosa, AL 35487, USA
Yuesheng Lin: Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze-Huaihe River Basin, School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China
Fengman Fang: Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze-Huaihe River Basin, School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China
Shiyin Li: School of Environment, Nanjing Normal University, Nanjing 210023, China
Huan He: School of Environment, Nanjing Normal University, Nanjing 210023, China

IJERPH, 2023, vol. 20, issue 5, 1-20

Abstract: Urban ozone (O 3 ) pollution in the atmosphere has become increasingly prominent on a national scale in mainland China, although the atmospheric particulate matter pollution has been significantly reduced in recent years. The clustering and dynamic variation characteristics of the O 3 concentrations in cities across the country, however, have not been accurately explored at relevant spatiotemporal scales. In this study, a standard deviational ellipse analysis and multiscale geographically weighted regression models were applied to explore the migration process and influencing factors of O 3 pollution based on measured data from urban monitoring sites in mainland China. The results suggested that the urban O 3 concentration in mainland China reached its peak in 2018, and the annual O 3 concentration reached 157 ± 27 μg/m 3 from 2015 to 2020. On the scale of the whole Chinese mainland, the distribution of O 3 exhibited spatial dependence and aggregation. On the regional scale, the areas of high O 3 concentrations were mainly concentrated in Beijing-Tianjin-Hebei, Shandong, Jiangsu, Henan, and other regions. In addition, the standard deviation ellipse of the urban O 3 concentration covered the entire eastern part of mainland China. Overall, the geographic center of ozone pollution has a tendency to move to the south with the time variation. The interaction between sunshine hours and other factors (precipitation, NO 2 , DEM, SO 2 , PM 2.5 ) significantly affected the variation of urban O 3 concentration. In Southwest China, Northwest China, and Central China, the suppression effect of vegetation on local O 3 was more obvious than that in other regions. Therefore, this study clarified for the first time the migration path of the gravity center of the urban O 3 pollution and identified the key areas for the prevention and control of O 3 pollution in mainland China.

Keywords: ozone; clustering; dynamic variations; influencing factors; mainland China (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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