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Spatiotemporal Variations and Driving Factors of Air Pollution in China

In recent years, severe and persistent air pollution episodes in China have drawn wide public concern. Based on ground monitoring air quality data collected in 2015 in Chinese cities above the prefectural level, this study identifies the spatiotemporal variations of air pollution and its associated...

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Autores principales: Zhan, Dongsheng, Kwan, Mei-Po, Zhang, Wenzhong, Wang, Shaojian, Yu, Jianhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750956/
https://www.ncbi.nlm.nih.gov/pubmed/29292783
http://dx.doi.org/10.3390/ijerph14121538
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author Zhan, Dongsheng
Kwan, Mei-Po
Zhang, Wenzhong
Wang, Shaojian
Yu, Jianhui
author_facet Zhan, Dongsheng
Kwan, Mei-Po
Zhang, Wenzhong
Wang, Shaojian
Yu, Jianhui
author_sort Zhan, Dongsheng
collection PubMed
description In recent years, severe and persistent air pollution episodes in China have drawn wide public concern. Based on ground monitoring air quality data collected in 2015 in Chinese cities above the prefectural level, this study identifies the spatiotemporal variations of air pollution and its associated driving factors in China using descriptive statistics and geographical detector methods. The results show that the average air pollution ratio and continuous air pollution ratio across Chinese cities in 2015 were 23.1 ± 16.9% and 16.2 ± 14.8%. The highest levels of air pollution ratio and continuous air pollution ratio were observed in northern China, especially in the Bohai Rim region and Xinjiang province, and the lowest levels were found in southern China. The average and maximum levels of continuous air pollution show distinct spatial variations when compared with those of the continuous air pollution ratio. Monthly changes in both air pollution ratio and continuous air pollution ratio have a U-shaped variation, indicating that the highest levels of air pollution occurred in winter and the lowest levels happened in summer. The results of the geographical detector model further reveal that the effect intensity of natural factors on the spatial disparity of the air pollution ratio is greater than that of human-related factors. Specifically, among natural factors, the annual average temperature, land relief, and relative humidity have the greatest and most significant negative effects on the air pollution ratio, whereas human factors such as population density, the number of vehicles, and Gross Domestic Product (GDP) witness the strongest and most significant positive effects on air pollution ratio.
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spelling pubmed-57509562018-01-10 Spatiotemporal Variations and Driving Factors of Air Pollution in China Zhan, Dongsheng Kwan, Mei-Po Zhang, Wenzhong Wang, Shaojian Yu, Jianhui Int J Environ Res Public Health Article In recent years, severe and persistent air pollution episodes in China have drawn wide public concern. Based on ground monitoring air quality data collected in 2015 in Chinese cities above the prefectural level, this study identifies the spatiotemporal variations of air pollution and its associated driving factors in China using descriptive statistics and geographical detector methods. The results show that the average air pollution ratio and continuous air pollution ratio across Chinese cities in 2015 were 23.1 ± 16.9% and 16.2 ± 14.8%. The highest levels of air pollution ratio and continuous air pollution ratio were observed in northern China, especially in the Bohai Rim region and Xinjiang province, and the lowest levels were found in southern China. The average and maximum levels of continuous air pollution show distinct spatial variations when compared with those of the continuous air pollution ratio. Monthly changes in both air pollution ratio and continuous air pollution ratio have a U-shaped variation, indicating that the highest levels of air pollution occurred in winter and the lowest levels happened in summer. The results of the geographical detector model further reveal that the effect intensity of natural factors on the spatial disparity of the air pollution ratio is greater than that of human-related factors. Specifically, among natural factors, the annual average temperature, land relief, and relative humidity have the greatest and most significant negative effects on the air pollution ratio, whereas human factors such as population density, the number of vehicles, and Gross Domestic Product (GDP) witness the strongest and most significant positive effects on air pollution ratio. MDPI 2017-12-08 2017-12 /pmc/articles/PMC5750956/ /pubmed/29292783 http://dx.doi.org/10.3390/ijerph14121538 Text en © 2017 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhan, Dongsheng
Kwan, Mei-Po
Zhang, Wenzhong
Wang, Shaojian
Yu, Jianhui
Spatiotemporal Variations and Driving Factors of Air Pollution in China
title Spatiotemporal Variations and Driving Factors of Air Pollution in China
title_full Spatiotemporal Variations and Driving Factors of Air Pollution in China
title_fullStr Spatiotemporal Variations and Driving Factors of Air Pollution in China
title_full_unstemmed Spatiotemporal Variations and Driving Factors of Air Pollution in China
title_short Spatiotemporal Variations and Driving Factors of Air Pollution in China
title_sort spatiotemporal variations and driving factors of air pollution in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750956/
https://www.ncbi.nlm.nih.gov/pubmed/29292783
http://dx.doi.org/10.3390/ijerph14121538
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