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Spatio-Temporal Variation Characteristics of PM(2.5) in the Beijing–Tianjin–Hebei Region, China, from 2013 to 2018

Air pollution, including particulate matter (PM(2.5)) pollution, is extremely harmful to the environment as well as human health. The Beijing–Tianjin–Hebei (BTH) Region has experienced heavy PM(2.5) pollution within China. In this study, a six-year time series (January 2013–December 2018) of PM(2.5)...

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Autores principales: Wang, Lili, Xiong, Qiulin, Wu, Gaofeng, Gautam, Atul, Jiang, Jianfang, Liu, Shuang, Zhao, Wenji, Guan, Hongliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862089/
https://www.ncbi.nlm.nih.gov/pubmed/31689921
http://dx.doi.org/10.3390/ijerph16214276
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author Wang, Lili
Xiong, Qiulin
Wu, Gaofeng
Gautam, Atul
Jiang, Jianfang
Liu, Shuang
Zhao, Wenji
Guan, Hongliang
author_facet Wang, Lili
Xiong, Qiulin
Wu, Gaofeng
Gautam, Atul
Jiang, Jianfang
Liu, Shuang
Zhao, Wenji
Guan, Hongliang
author_sort Wang, Lili
collection PubMed
description Air pollution, including particulate matter (PM(2.5)) pollution, is extremely harmful to the environment as well as human health. The Beijing–Tianjin–Hebei (BTH) Region has experienced heavy PM(2.5) pollution within China. In this study, a six-year time series (January 2013–December 2018) of PM(2.5) mass concentration data from 102 air quality monitoring stations were studied to understand the spatio-temporal variation characteristics of the BTH region. The average annual PM(2.5) mass concentration in the BTH region decreased from 98.9 μg/m(3) in 2013 to 64.9 μg/m(3) in 2017. Therefore, China has achieved its Air Pollution Prevention and Control Plan goal of reducing the concentration of fine particulate matter in the BTH region by 25% by 2017. The PM(2.5) pollution in BTH plain areas showed a more significant change than mountains areas, with the highest PM(2.5) mass concentration in winter and the lowest in summer. The results of spatial autocorrelation and cluster analyses showed that the PM(2.5) mass concentration in the BTH region from 2013–2018 showed a significant spatial agglomeration, and that spatial distribution characteristics were high in the south and low in the north. Changes in PM(2.5) mass concentration in the BTH region were affected by both socio-economic factors and meteorological factors. Our results can provide a point of reference for making PM(2.5) pollution control decisions.
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spelling pubmed-68620892019-12-05 Spatio-Temporal Variation Characteristics of PM(2.5) in the Beijing–Tianjin–Hebei Region, China, from 2013 to 2018 Wang, Lili Xiong, Qiulin Wu, Gaofeng Gautam, Atul Jiang, Jianfang Liu, Shuang Zhao, Wenji Guan, Hongliang Int J Environ Res Public Health Article Air pollution, including particulate matter (PM(2.5)) pollution, is extremely harmful to the environment as well as human health. The Beijing–Tianjin–Hebei (BTH) Region has experienced heavy PM(2.5) pollution within China. In this study, a six-year time series (January 2013–December 2018) of PM(2.5) mass concentration data from 102 air quality monitoring stations were studied to understand the spatio-temporal variation characteristics of the BTH region. The average annual PM(2.5) mass concentration in the BTH region decreased from 98.9 μg/m(3) in 2013 to 64.9 μg/m(3) in 2017. Therefore, China has achieved its Air Pollution Prevention and Control Plan goal of reducing the concentration of fine particulate matter in the BTH region by 25% by 2017. The PM(2.5) pollution in BTH plain areas showed a more significant change than mountains areas, with the highest PM(2.5) mass concentration in winter and the lowest in summer. The results of spatial autocorrelation and cluster analyses showed that the PM(2.5) mass concentration in the BTH region from 2013–2018 showed a significant spatial agglomeration, and that spatial distribution characteristics were high in the south and low in the north. Changes in PM(2.5) mass concentration in the BTH region were affected by both socio-economic factors and meteorological factors. Our results can provide a point of reference for making PM(2.5) pollution control decisions. MDPI 2019-11-04 2019-11 /pmc/articles/PMC6862089/ /pubmed/31689921 http://dx.doi.org/10.3390/ijerph16214276 Text en © 2019 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
Wang, Lili
Xiong, Qiulin
Wu, Gaofeng
Gautam, Atul
Jiang, Jianfang
Liu, Shuang
Zhao, Wenji
Guan, Hongliang
Spatio-Temporal Variation Characteristics of PM(2.5) in the Beijing–Tianjin–Hebei Region, China, from 2013 to 2018
title Spatio-Temporal Variation Characteristics of PM(2.5) in the Beijing–Tianjin–Hebei Region, China, from 2013 to 2018
title_full Spatio-Temporal Variation Characteristics of PM(2.5) in the Beijing–Tianjin–Hebei Region, China, from 2013 to 2018
title_fullStr Spatio-Temporal Variation Characteristics of PM(2.5) in the Beijing–Tianjin–Hebei Region, China, from 2013 to 2018
title_full_unstemmed Spatio-Temporal Variation Characteristics of PM(2.5) in the Beijing–Tianjin–Hebei Region, China, from 2013 to 2018
title_short Spatio-Temporal Variation Characteristics of PM(2.5) in the Beijing–Tianjin–Hebei Region, China, from 2013 to 2018
title_sort spatio-temporal variation characteristics of pm(2.5) in the beijing–tianjin–hebei region, china, from 2013 to 2018
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862089/
https://www.ncbi.nlm.nih.gov/pubmed/31689921
http://dx.doi.org/10.3390/ijerph16214276
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