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Heterogeneity and the determinants of PM(2.5) in the Yangtze River Economic Belt
Haze has reached epidemic levels in many Chinese cities in recent years. Few studies have explored the determinants and heterogeneity of PM(2.5). This paper investigates the spatiotemporal characteristics of PM(2.5) through spatial analytical methods based on aerosol optical depth data from the Yang...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907361/ https://www.ncbi.nlm.nih.gov/pubmed/35264674 http://dx.doi.org/10.1038/s41598-022-08086-3 |
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author | Xia, Siyou Liu, Xiaojie Liu, Qing Zhou, Yannan Yang, Yu |
author_facet | Xia, Siyou Liu, Xiaojie Liu, Qing Zhou, Yannan Yang, Yu |
author_sort | Xia, Siyou |
collection | PubMed |
description | Haze has reached epidemic levels in many Chinese cities in recent years. Few studies have explored the determinants and heterogeneity of PM(2.5). This paper investigates the spatiotemporal characteristics of PM(2.5) through spatial analytical methods based on aerosol optical depth data from the Yangtze River Economic Belt (YREB) between 2000 and 2017. Geographically weighted regression and geodetector models were applied to assess the heterogeneity of key factors influencing PM(2.5). The results indicate that the annual concentrations of PM(2.5) in the YREB were 23.49–37.37 μg/m(3), with an initial increase and a later decrease. PM(2.5) pollution showed a diagonal high spatial distribution pattern in the northeast and a low spatial distribution in the southwest, as well as a noticeable spatial convergence. The spatial variability of PM(2.5) was enlarged, and its main fractal dimension was in the northeast-southwest direction. There were clear spatiotemporal variations in the impacts of natural and anthropogenic factors on PM(2.5). Our findings contribute to a better understanding of the impact mechanisms of PM(2.5) and the geographic factors that form persistent and highly polluted areas and imply that more specific coping strategies need to be implemented in various areas toward successful particulate pollution prevention and control. |
format | Online Article Text |
id | pubmed-8907361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89073612022-03-11 Heterogeneity and the determinants of PM(2.5) in the Yangtze River Economic Belt Xia, Siyou Liu, Xiaojie Liu, Qing Zhou, Yannan Yang, Yu Sci Rep Article Haze has reached epidemic levels in many Chinese cities in recent years. Few studies have explored the determinants and heterogeneity of PM(2.5). This paper investigates the spatiotemporal characteristics of PM(2.5) through spatial analytical methods based on aerosol optical depth data from the Yangtze River Economic Belt (YREB) between 2000 and 2017. Geographically weighted regression and geodetector models were applied to assess the heterogeneity of key factors influencing PM(2.5). The results indicate that the annual concentrations of PM(2.5) in the YREB were 23.49–37.37 μg/m(3), with an initial increase and a later decrease. PM(2.5) pollution showed a diagonal high spatial distribution pattern in the northeast and a low spatial distribution in the southwest, as well as a noticeable spatial convergence. The spatial variability of PM(2.5) was enlarged, and its main fractal dimension was in the northeast-southwest direction. There were clear spatiotemporal variations in the impacts of natural and anthropogenic factors on PM(2.5). Our findings contribute to a better understanding of the impact mechanisms of PM(2.5) and the geographic factors that form persistent and highly polluted areas and imply that more specific coping strategies need to be implemented in various areas toward successful particulate pollution prevention and control. Nature Publishing Group UK 2022-03-09 /pmc/articles/PMC8907361/ /pubmed/35264674 http://dx.doi.org/10.1038/s41598-022-08086-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Xia, Siyou Liu, Xiaojie Liu, Qing Zhou, Yannan Yang, Yu Heterogeneity and the determinants of PM(2.5) in the Yangtze River Economic Belt |
title | Heterogeneity and the determinants of PM(2.5) in the Yangtze River Economic Belt |
title_full | Heterogeneity and the determinants of PM(2.5) in the Yangtze River Economic Belt |
title_fullStr | Heterogeneity and the determinants of PM(2.5) in the Yangtze River Economic Belt |
title_full_unstemmed | Heterogeneity and the determinants of PM(2.5) in the Yangtze River Economic Belt |
title_short | Heterogeneity and the determinants of PM(2.5) in the Yangtze River Economic Belt |
title_sort | heterogeneity and the determinants of pm(2.5) in the yangtze river economic belt |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907361/ https://www.ncbi.nlm.nih.gov/pubmed/35264674 http://dx.doi.org/10.1038/s41598-022-08086-3 |
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