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Spatial-temporal heterogeneity and driving factors of PM(2.5) in China: A natural and socioeconomic perspective

BACKGROUND: Fine particulate matter (PM(2.5)), one of the major atmospheric pollutants, has a significant impact on human health. However, the determinant power of natural and socioeconomic factors on the spatial-temporal variation of PM(2.5) pollution is controversial in China. METHODS: In this stu...

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Autores principales: She, Yuanyang, Chen, Qingyan, Ye, Shen, Wang, Peng, Wu, Bobo, Zhang, Shaoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713317/
https://www.ncbi.nlm.nih.gov/pubmed/36466497
http://dx.doi.org/10.3389/fpubh.2022.1051116
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author She, Yuanyang
Chen, Qingyan
Ye, Shen
Wang, Peng
Wu, Bobo
Zhang, Shaoyu
author_facet She, Yuanyang
Chen, Qingyan
Ye, Shen
Wang, Peng
Wu, Bobo
Zhang, Shaoyu
author_sort She, Yuanyang
collection PubMed
description BACKGROUND: Fine particulate matter (PM(2.5)), one of the major atmospheric pollutants, has a significant impact on human health. However, the determinant power of natural and socioeconomic factors on the spatial-temporal variation of PM(2.5) pollution is controversial in China. METHODS: In this study, we explored spatial-temporal characteristics and driving factors of PM(2.5) through 252 prefecture-level cities in China from 2015 to 2019, based on the spatial autocorrelation and geographically and temporally weighted regression model (GTWR). RESULTS: PM(2.5) concentrations showed a significant downward trend, with a decline rate of 3.58 μg m(−3) a(−1), and a 26.49% decrease in 2019 compared to 2015, Eastern and Central China were the two regions with the highest PM(2.5) concentrations. The driving force of socioeconomic factors on PM(2.5) concentrations was slightly higher than that of natural factors. Population density had a positive significant driving effect on PM(2.5) concentrations, and precipitation was the negative main driving factor. The two main driving factors (population density and precipitation) showed that the driving capability in northern region was stronger than that in southern China. North China and Central China were the regions of largest decline, and the reason for the PM(2.5) decline might be the transition from a high environmental pollution-based industrial economy to a resource-clean high-tech economy since the implementation the Air Pollution Prevention and Control Action Plan in 2013. CONCLUSION: We need to fully consider the coordinated development of population size and local environmental carrying capacity in terms of control of PM(2.5) concentrations in the future. This research is helpful for policy-makers to understand the distribution characteristics of PM(2.5) emission and put forward effective policy to alleviate haze pollution.
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spelling pubmed-97133172022-12-02 Spatial-temporal heterogeneity and driving factors of PM(2.5) in China: A natural and socioeconomic perspective She, Yuanyang Chen, Qingyan Ye, Shen Wang, Peng Wu, Bobo Zhang, Shaoyu Front Public Health Public Health BACKGROUND: Fine particulate matter (PM(2.5)), one of the major atmospheric pollutants, has a significant impact on human health. However, the determinant power of natural and socioeconomic factors on the spatial-temporal variation of PM(2.5) pollution is controversial in China. METHODS: In this study, we explored spatial-temporal characteristics and driving factors of PM(2.5) through 252 prefecture-level cities in China from 2015 to 2019, based on the spatial autocorrelation and geographically and temporally weighted regression model (GTWR). RESULTS: PM(2.5) concentrations showed a significant downward trend, with a decline rate of 3.58 μg m(−3) a(−1), and a 26.49% decrease in 2019 compared to 2015, Eastern and Central China were the two regions with the highest PM(2.5) concentrations. The driving force of socioeconomic factors on PM(2.5) concentrations was slightly higher than that of natural factors. Population density had a positive significant driving effect on PM(2.5) concentrations, and precipitation was the negative main driving factor. The two main driving factors (population density and precipitation) showed that the driving capability in northern region was stronger than that in southern China. North China and Central China were the regions of largest decline, and the reason for the PM(2.5) decline might be the transition from a high environmental pollution-based industrial economy to a resource-clean high-tech economy since the implementation the Air Pollution Prevention and Control Action Plan in 2013. CONCLUSION: We need to fully consider the coordinated development of population size and local environmental carrying capacity in terms of control of PM(2.5) concentrations in the future. This research is helpful for policy-makers to understand the distribution characteristics of PM(2.5) emission and put forward effective policy to alleviate haze pollution. Frontiers Media S.A. 2022-11-17 /pmc/articles/PMC9713317/ /pubmed/36466497 http://dx.doi.org/10.3389/fpubh.2022.1051116 Text en Copyright © 2022 She, Chen, Ye, Wang, Wu and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
She, Yuanyang
Chen, Qingyan
Ye, Shen
Wang, Peng
Wu, Bobo
Zhang, Shaoyu
Spatial-temporal heterogeneity and driving factors of PM(2.5) in China: A natural and socioeconomic perspective
title Spatial-temporal heterogeneity and driving factors of PM(2.5) in China: A natural and socioeconomic perspective
title_full Spatial-temporal heterogeneity and driving factors of PM(2.5) in China: A natural and socioeconomic perspective
title_fullStr Spatial-temporal heterogeneity and driving factors of PM(2.5) in China: A natural and socioeconomic perspective
title_full_unstemmed Spatial-temporal heterogeneity and driving factors of PM(2.5) in China: A natural and socioeconomic perspective
title_short Spatial-temporal heterogeneity and driving factors of PM(2.5) in China: A natural and socioeconomic perspective
title_sort spatial-temporal heterogeneity and driving factors of pm(2.5) in china: a natural and socioeconomic perspective
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713317/
https://www.ncbi.nlm.nih.gov/pubmed/36466497
http://dx.doi.org/10.3389/fpubh.2022.1051116
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