Cargando…

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

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) concentration...

Descripción completa

Detalles Bibliográficos
Autores principales: Yao, Youru, Ma, Kang, He, Cheng, Zhang, Yong, Lin, Yuesheng, Fang, Fengman, Li, Shiyin, He, Huan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001023/
https://www.ncbi.nlm.nih.gov/pubmed/36900822
http://dx.doi.org/10.3390/ijerph20053810
_version_ 1784904030556782592
author Yao, Youru
Ma, Kang
He, Cheng
Zhang, Yong
Lin, Yuesheng
Fang, Fengman
Li, Shiyin
He, Huan
author_facet Yao, Youru
Ma, Kang
He, Cheng
Zhang, Yong
Lin, Yuesheng
Fang, Fengman
Li, Shiyin
He, Huan
author_sort Yao, Youru
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10001023
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-100010232023-03-11 Urban Surface Ozone Concentration in Mainland China during 2015–2020: Spatial Clustering and Temporal Dynamics Yao, Youru Ma, Kang He, Cheng Zhang, Yong Lin, Yuesheng Fang, Fengman Li, Shiyin He, Huan Int J Environ Res Public Health Article 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. MDPI 2023-02-21 /pmc/articles/PMC10001023/ /pubmed/36900822 http://dx.doi.org/10.3390/ijerph20053810 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yao, Youru
Ma, Kang
He, Cheng
Zhang, Yong
Lin, Yuesheng
Fang, Fengman
Li, Shiyin
He, Huan
Urban Surface Ozone Concentration in Mainland China during 2015–2020: Spatial Clustering and Temporal Dynamics
title Urban Surface Ozone Concentration in Mainland China during 2015–2020: Spatial Clustering and Temporal Dynamics
title_full Urban Surface Ozone Concentration in Mainland China during 2015–2020: Spatial Clustering and Temporal Dynamics
title_fullStr Urban Surface Ozone Concentration in Mainland China during 2015–2020: Spatial Clustering and Temporal Dynamics
title_full_unstemmed Urban Surface Ozone Concentration in Mainland China during 2015–2020: Spatial Clustering and Temporal Dynamics
title_short Urban Surface Ozone Concentration in Mainland China during 2015–2020: Spatial Clustering and Temporal Dynamics
title_sort urban surface ozone concentration in mainland china during 2015–2020: spatial clustering and temporal dynamics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001023/
https://www.ncbi.nlm.nih.gov/pubmed/36900822
http://dx.doi.org/10.3390/ijerph20053810
work_keys_str_mv AT yaoyouru urbansurfaceozoneconcentrationinmainlandchinaduring20152020spatialclusteringandtemporaldynamics
AT makang urbansurfaceozoneconcentrationinmainlandchinaduring20152020spatialclusteringandtemporaldynamics
AT hecheng urbansurfaceozoneconcentrationinmainlandchinaduring20152020spatialclusteringandtemporaldynamics
AT zhangyong urbansurfaceozoneconcentrationinmainlandchinaduring20152020spatialclusteringandtemporaldynamics
AT linyuesheng urbansurfaceozoneconcentrationinmainlandchinaduring20152020spatialclusteringandtemporaldynamics
AT fangfengman urbansurfaceozoneconcentrationinmainlandchinaduring20152020spatialclusteringandtemporaldynamics
AT lishiyin urbansurfaceozoneconcentrationinmainlandchinaduring20152020spatialclusteringandtemporaldynamics
AT hehuan urbansurfaceozoneconcentrationinmainlandchinaduring20152020spatialclusteringandtemporaldynamics