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Spatial–seasonal characteristics and critical impact factors of PM(2.5) concentration in the Beijing–Tianjin–Hebei urban agglomeration

As China’s political and economic centre, the Beijing–Tianjin–Hebei (BTH) urban agglomeration experiences serious environmental challenges on particulate matter (PM) concentration, which results in fundamental or irreparable damages in various socioeconomic aspects. This study investigates the seaso...

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Autores principales: Huang, Tianhang, Yu, Yunjiang, Wei, Yigang, Wang, Huiwen, Huang, Wenyang, Chen, Xuchang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147404/
https://www.ncbi.nlm.nih.gov/pubmed/30235240
http://dx.doi.org/10.1371/journal.pone.0201364
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author Huang, Tianhang
Yu, Yunjiang
Wei, Yigang
Wang, Huiwen
Huang, Wenyang
Chen, Xuchang
author_facet Huang, Tianhang
Yu, Yunjiang
Wei, Yigang
Wang, Huiwen
Huang, Wenyang
Chen, Xuchang
author_sort Huang, Tianhang
collection PubMed
description As China’s political and economic centre, the Beijing–Tianjin–Hebei (BTH) urban agglomeration experiences serious environmental challenges on particulate matter (PM) concentration, which results in fundamental or irreparable damages in various socioeconomic aspects. This study investigates the seasonal and spatial distribution characteristics of PM(2.5) concentration in the BTH urban agglomeration and their critical impact factors. Spatial interpolation are used to analyse the real-time monitoring of PM(2.5) data in BTH from December 2013 to May 2017, and partial least squares regression is applied to investigate the latest data of potential polluting variables in 2015. Several important findings are obtained: (1) Notable differences exist amongst PM(2.5) concentrations in different seasons; January (133.10 mg/m(3)) and December (120.19 mg/m(3)) are the most polluted months, whereas July (38.76 mg/m(3)) and August (41.31 mg/m(3)) are the least polluted months. PM(2.5) concentration shows a periodic U-shaped variation pattern with high pollution levels in autumn and winter and low levels in spring and summer. (2) In terms of spatial distribution characteristics, the most highly polluted areas are located south and east of the BTH urban agglomeration, and PM(2.5) concentration is significantly low in the north. (3) Empirical results demonstrate that the deterioration of PM(2.5) concentration in 2015 is closely related to a set of critical impact factors, including population density, urbanisation rate, road freight volume, secondary industry gross domestic product, overall energy consumption and industrial pollutants, such as steel production and volume of sulphur dioxide emission, which are ranked in terms of their contributing powers. The findings provide a basis for the causes and conditions of PM(2.5) pollution in the BTH regions. Viable policy recommendations are provided for effective air pollution treatment.
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spelling pubmed-61474042018-10-08 Spatial–seasonal characteristics and critical impact factors of PM(2.5) concentration in the Beijing–Tianjin–Hebei urban agglomeration Huang, Tianhang Yu, Yunjiang Wei, Yigang Wang, Huiwen Huang, Wenyang Chen, Xuchang PLoS One Research Article As China’s political and economic centre, the Beijing–Tianjin–Hebei (BTH) urban agglomeration experiences serious environmental challenges on particulate matter (PM) concentration, which results in fundamental or irreparable damages in various socioeconomic aspects. This study investigates the seasonal and spatial distribution characteristics of PM(2.5) concentration in the BTH urban agglomeration and their critical impact factors. Spatial interpolation are used to analyse the real-time monitoring of PM(2.5) data in BTH from December 2013 to May 2017, and partial least squares regression is applied to investigate the latest data of potential polluting variables in 2015. Several important findings are obtained: (1) Notable differences exist amongst PM(2.5) concentrations in different seasons; January (133.10 mg/m(3)) and December (120.19 mg/m(3)) are the most polluted months, whereas July (38.76 mg/m(3)) and August (41.31 mg/m(3)) are the least polluted months. PM(2.5) concentration shows a periodic U-shaped variation pattern with high pollution levels in autumn and winter and low levels in spring and summer. (2) In terms of spatial distribution characteristics, the most highly polluted areas are located south and east of the BTH urban agglomeration, and PM(2.5) concentration is significantly low in the north. (3) Empirical results demonstrate that the deterioration of PM(2.5) concentration in 2015 is closely related to a set of critical impact factors, including population density, urbanisation rate, road freight volume, secondary industry gross domestic product, overall energy consumption and industrial pollutants, such as steel production and volume of sulphur dioxide emission, which are ranked in terms of their contributing powers. The findings provide a basis for the causes and conditions of PM(2.5) pollution in the BTH regions. Viable policy recommendations are provided for effective air pollution treatment. Public Library of Science 2018-09-20 /pmc/articles/PMC6147404/ /pubmed/30235240 http://dx.doi.org/10.1371/journal.pone.0201364 Text en © 2018 Huang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Huang, Tianhang
Yu, Yunjiang
Wei, Yigang
Wang, Huiwen
Huang, Wenyang
Chen, Xuchang
Spatial–seasonal characteristics and critical impact factors of PM(2.5) concentration in the Beijing–Tianjin–Hebei urban agglomeration
title Spatial–seasonal characteristics and critical impact factors of PM(2.5) concentration in the Beijing–Tianjin–Hebei urban agglomeration
title_full Spatial–seasonal characteristics and critical impact factors of PM(2.5) concentration in the Beijing–Tianjin–Hebei urban agglomeration
title_fullStr Spatial–seasonal characteristics and critical impact factors of PM(2.5) concentration in the Beijing–Tianjin–Hebei urban agglomeration
title_full_unstemmed Spatial–seasonal characteristics and critical impact factors of PM(2.5) concentration in the Beijing–Tianjin–Hebei urban agglomeration
title_short Spatial–seasonal characteristics and critical impact factors of PM(2.5) concentration in the Beijing–Tianjin–Hebei urban agglomeration
title_sort spatial–seasonal characteristics and critical impact factors of pm(2.5) concentration in the beijing–tianjin–hebei urban agglomeration
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147404/
https://www.ncbi.nlm.nih.gov/pubmed/30235240
http://dx.doi.org/10.1371/journal.pone.0201364
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