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Investigating the biophysical and socioeconomic determinants of China tropospheric O(3) pollution based on a multilevel analysis approach

Severe tropospheric O(3) pollution has swept across China in recent years. Consequently, investigation of tropospheric O(3) concentration influencing mechanism is of significance for O(3) pollution control in China. Previous studies have rarely detected combined impacts of natural factors and anthro...

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Detalles Bibliográficos
Autores principales: Ding, Su, He, Jianhua, Liu, Dianfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789902/
https://www.ncbi.nlm.nih.gov/pubmed/33411122
http://dx.doi.org/10.1007/s10653-020-00797-8
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author Ding, Su
He, Jianhua
Liu, Dianfeng
author_facet Ding, Su
He, Jianhua
Liu, Dianfeng
author_sort Ding, Su
collection PubMed
description Severe tropospheric O(3) pollution has swept across China in recent years. Consequently, investigation of tropospheric O(3) concentration influencing mechanism is of significance for O(3) pollution control in China. Previous studies have rarely detected combined impacts of natural factors and anthropogenic activities behind tropospheric O(3) concentration in China at a national scale. Moreover, there is significant spatiotemporal heterogeneity of O(3) pollution distribution in China due to the temporal and regional differences of socioeconomic and natural environmental condition in the vast territory. The targeted O(3) control recommendations for different regions and seasons should be put forward in terms of the spatiotemporal heterogeneity of O(3) concentration determinants. In this context, a three-level regression model integrating multi-scale biophysical and socioeconomic variables was proposed to explore the determinants of O(3) pollution in China. The results showed that the tropospheric O(3) concentration in the eastern and southeastern regions of China was strongly affected by meteorological conditions. In contrast, tropospheric O(3) pollution concentrated in inland areas mainly depended on the emission intensity from anthropogenic sources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10653-020-00797-8.
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spelling pubmed-77899022021-01-08 Investigating the biophysical and socioeconomic determinants of China tropospheric O(3) pollution based on a multilevel analysis approach Ding, Su He, Jianhua Liu, Dianfeng Environ Geochem Health Original Paper Severe tropospheric O(3) pollution has swept across China in recent years. Consequently, investigation of tropospheric O(3) concentration influencing mechanism is of significance for O(3) pollution control in China. Previous studies have rarely detected combined impacts of natural factors and anthropogenic activities behind tropospheric O(3) concentration in China at a national scale. Moreover, there is significant spatiotemporal heterogeneity of O(3) pollution distribution in China due to the temporal and regional differences of socioeconomic and natural environmental condition in the vast territory. The targeted O(3) control recommendations for different regions and seasons should be put forward in terms of the spatiotemporal heterogeneity of O(3) concentration determinants. In this context, a three-level regression model integrating multi-scale biophysical and socioeconomic variables was proposed to explore the determinants of O(3) pollution in China. The results showed that the tropospheric O(3) concentration in the eastern and southeastern regions of China was strongly affected by meteorological conditions. In contrast, tropospheric O(3) pollution concentrated in inland areas mainly depended on the emission intensity from anthropogenic sources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10653-020-00797-8. Springer Netherlands 2021-01-07 2021 /pmc/articles/PMC7789902/ /pubmed/33411122 http://dx.doi.org/10.1007/s10653-020-00797-8 Text en © The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Ding, Su
He, Jianhua
Liu, Dianfeng
Investigating the biophysical and socioeconomic determinants of China tropospheric O(3) pollution based on a multilevel analysis approach
title Investigating the biophysical and socioeconomic determinants of China tropospheric O(3) pollution based on a multilevel analysis approach
title_full Investigating the biophysical and socioeconomic determinants of China tropospheric O(3) pollution based on a multilevel analysis approach
title_fullStr Investigating the biophysical and socioeconomic determinants of China tropospheric O(3) pollution based on a multilevel analysis approach
title_full_unstemmed Investigating the biophysical and socioeconomic determinants of China tropospheric O(3) pollution based on a multilevel analysis approach
title_short Investigating the biophysical and socioeconomic determinants of China tropospheric O(3) pollution based on a multilevel analysis approach
title_sort investigating the biophysical and socioeconomic determinants of china tropospheric o(3) pollution based on a multilevel analysis approach
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789902/
https://www.ncbi.nlm.nih.gov/pubmed/33411122
http://dx.doi.org/10.1007/s10653-020-00797-8
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