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Temporal and Spatial Distribution Analysis of Atmospheric Pollutants in Chengdu–Chongqing Twin-City Economic Circle

In order to study the temporal and spatial distribution characteristics of atmospheric pollutants in cities (districts and counties) in the Chengdu–Chongqing Twin-city Economic Circle (CCEC) and to provide a theoretical basis for atmospheric pollution prevention and control, this paper combined Ambi...

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Detalles Bibliográficos
Autores principales: Qi, Ning, Tan, Xuemei, Wu, Tengfei, Tang, Qing, Ning, Fengshou, Jiang, Debin, Xu, Tengtun, Wu, Hong, Ren, Lingxiao, Deng, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8998823/
https://www.ncbi.nlm.nih.gov/pubmed/35410015
http://dx.doi.org/10.3390/ijerph19074333
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author Qi, Ning
Tan, Xuemei
Wu, Tengfei
Tang, Qing
Ning, Fengshou
Jiang, Debin
Xu, Tengtun
Wu, Hong
Ren, Lingxiao
Deng, Wei
author_facet Qi, Ning
Tan, Xuemei
Wu, Tengfei
Tang, Qing
Ning, Fengshou
Jiang, Debin
Xu, Tengtun
Wu, Hong
Ren, Lingxiao
Deng, Wei
author_sort Qi, Ning
collection PubMed
description In order to study the temporal and spatial distribution characteristics of atmospheric pollutants in cities (districts and counties) in the Chengdu–Chongqing Twin-city Economic Circle (CCEC) and to provide a theoretical basis for atmospheric pollution prevention and control, this paper combined Ambient Air Quality Standards (AAQS) and WHO Global Air Quality Guidelines (GAQG) to evaluate atmospheric pollution and used spatial correlation to determine key pollution areas. The results showed that the distribution of atmospheric pollutants in CCEC presents a certain law, which was consistent with the air pollution transmission channels. Except for particulate matter with an aerodynamic diameter equal to or less than 2.5 μm (PM(2.5)) and ozone (O(3)), other pollutants reached Grade II of AAQS in 2020, among which particulate matter with an aerodynamic diameter equal to or less than 10 μm (PM(10)), PM(2.5), sulfur dioxide (SO(2)), nitrogen dioxide (NO(2)) and carbon monoxide (CO) have improved. Compared with the air quality guidelines given in the GAQG, PM(10), PM(2.5), NO(2) and O(3) have certain effects on human health. The spatial aggregation of PM(10) and PM(2.5) decreased year by year, while the spatial aggregation of O(3) increased with the change in time, and the distribution of NO(2) pollution had no obvious aggregation. Comprehensive analysis showed that the pollution problems of particulate matter, NO(2) and O(3) in CCEC need to be further controlled.
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spelling pubmed-89988232022-04-12 Temporal and Spatial Distribution Analysis of Atmospheric Pollutants in Chengdu–Chongqing Twin-City Economic Circle Qi, Ning Tan, Xuemei Wu, Tengfei Tang, Qing Ning, Fengshou Jiang, Debin Xu, Tengtun Wu, Hong Ren, Lingxiao Deng, Wei Int J Environ Res Public Health Article In order to study the temporal and spatial distribution characteristics of atmospheric pollutants in cities (districts and counties) in the Chengdu–Chongqing Twin-city Economic Circle (CCEC) and to provide a theoretical basis for atmospheric pollution prevention and control, this paper combined Ambient Air Quality Standards (AAQS) and WHO Global Air Quality Guidelines (GAQG) to evaluate atmospheric pollution and used spatial correlation to determine key pollution areas. The results showed that the distribution of atmospheric pollutants in CCEC presents a certain law, which was consistent with the air pollution transmission channels. Except for particulate matter with an aerodynamic diameter equal to or less than 2.5 μm (PM(2.5)) and ozone (O(3)), other pollutants reached Grade II of AAQS in 2020, among which particulate matter with an aerodynamic diameter equal to or less than 10 μm (PM(10)), PM(2.5), sulfur dioxide (SO(2)), nitrogen dioxide (NO(2)) and carbon monoxide (CO) have improved. Compared with the air quality guidelines given in the GAQG, PM(10), PM(2.5), NO(2) and O(3) have certain effects on human health. The spatial aggregation of PM(10) and PM(2.5) decreased year by year, while the spatial aggregation of O(3) increased with the change in time, and the distribution of NO(2) pollution had no obvious aggregation. Comprehensive analysis showed that the pollution problems of particulate matter, NO(2) and O(3) in CCEC need to be further controlled. MDPI 2022-04-04 /pmc/articles/PMC8998823/ /pubmed/35410015 http://dx.doi.org/10.3390/ijerph19074333 Text en © 2022 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
Qi, Ning
Tan, Xuemei
Wu, Tengfei
Tang, Qing
Ning, Fengshou
Jiang, Debin
Xu, Tengtun
Wu, Hong
Ren, Lingxiao
Deng, Wei
Temporal and Spatial Distribution Analysis of Atmospheric Pollutants in Chengdu–Chongqing Twin-City Economic Circle
title Temporal and Spatial Distribution Analysis of Atmospheric Pollutants in Chengdu–Chongqing Twin-City Economic Circle
title_full Temporal and Spatial Distribution Analysis of Atmospheric Pollutants in Chengdu–Chongqing Twin-City Economic Circle
title_fullStr Temporal and Spatial Distribution Analysis of Atmospheric Pollutants in Chengdu–Chongqing Twin-City Economic Circle
title_full_unstemmed Temporal and Spatial Distribution Analysis of Atmospheric Pollutants in Chengdu–Chongqing Twin-City Economic Circle
title_short Temporal and Spatial Distribution Analysis of Atmospheric Pollutants in Chengdu–Chongqing Twin-City Economic Circle
title_sort temporal and spatial distribution analysis of atmospheric pollutants in chengdu–chongqing twin-city economic circle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8998823/
https://www.ncbi.nlm.nih.gov/pubmed/35410015
http://dx.doi.org/10.3390/ijerph19074333
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