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Spatiotemporal Characteristics of Air Quality across Weifang from 2014–2018

Air pollution has become a severe threat and challenge in China. Focusing on air quality in a heavily polluted city (Weifang Cty), this study aims to investigate spatial and temporal distribution characteristics of air pollution and identify the influence of weather factors on primary pollutants in...

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Autores principales: Li, Chengming, Dai, Zhaoxin, Yang, Lina, Ma, Zhaoting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747545/
https://www.ncbi.nlm.nih.gov/pubmed/31461986
http://dx.doi.org/10.3390/ijerph16173122
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author Li, Chengming
Dai, Zhaoxin
Yang, Lina
Ma, Zhaoting
author_facet Li, Chengming
Dai, Zhaoxin
Yang, Lina
Ma, Zhaoting
author_sort Li, Chengming
collection PubMed
description Air pollution has become a severe threat and challenge in China. Focusing on air quality in a heavily polluted city (Weifang Cty), this study aims to investigate spatial and temporal distribution characteristics of air pollution and identify the influence of weather factors on primary pollutants in Weifang over a long period from 2014–2018. The results indicate the annual Air quality Index (AQI) in Weifang has decreased since 2014 but is still far from the standard for excellent air quality. The primary pollutants are O(3) (Ozone), PM(10) (Particles with aerodynamic diameter ≤10 µm), and PM(2.5) (Particles with aerodynamic diameter ≤10 µm); the annual concentrations of PM(10) and PM(2.5) show a significant reduction but that of O(3) is basically unchanged. Seasonally, PM(10) and PM(2.5) show a U-shaped pattern, while O(3) exhibits inverted U-shaped variations, and different pollutants also present different characteristics daily. Spatially, O(3) exhibits a high level in the central region and a low level in the rural areas, while PM(10) and PM(2.5) are high in the northwest and low in the southeast. Additionally, the concentration of pollutants is greatly affected by meteorological factors, with PM(2.5) being negatively correlated with temperature and wind speed, while O(3) is positively correlated with the temperature. This research investigated the spatiotemporal characteristics of the air pollution and provided important policy advice based on the findings, which can be used to mitigate air pollution.
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spelling pubmed-67475452019-09-27 Spatiotemporal Characteristics of Air Quality across Weifang from 2014–2018 Li, Chengming Dai, Zhaoxin Yang, Lina Ma, Zhaoting Int J Environ Res Public Health Article Air pollution has become a severe threat and challenge in China. Focusing on air quality in a heavily polluted city (Weifang Cty), this study aims to investigate spatial and temporal distribution characteristics of air pollution and identify the influence of weather factors on primary pollutants in Weifang over a long period from 2014–2018. The results indicate the annual Air quality Index (AQI) in Weifang has decreased since 2014 but is still far from the standard for excellent air quality. The primary pollutants are O(3) (Ozone), PM(10) (Particles with aerodynamic diameter ≤10 µm), and PM(2.5) (Particles with aerodynamic diameter ≤10 µm); the annual concentrations of PM(10) and PM(2.5) show a significant reduction but that of O(3) is basically unchanged. Seasonally, PM(10) and PM(2.5) show a U-shaped pattern, while O(3) exhibits inverted U-shaped variations, and different pollutants also present different characteristics daily. Spatially, O(3) exhibits a high level in the central region and a low level in the rural areas, while PM(10) and PM(2.5) are high in the northwest and low in the southeast. Additionally, the concentration of pollutants is greatly affected by meteorological factors, with PM(2.5) being negatively correlated with temperature and wind speed, while O(3) is positively correlated with the temperature. This research investigated the spatiotemporal characteristics of the air pollution and provided important policy advice based on the findings, which can be used to mitigate air pollution. MDPI 2019-08-27 2019-09 /pmc/articles/PMC6747545/ /pubmed/31461986 http://dx.doi.org/10.3390/ijerph16173122 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
Li, Chengming
Dai, Zhaoxin
Yang, Lina
Ma, Zhaoting
Spatiotemporal Characteristics of Air Quality across Weifang from 2014–2018
title Spatiotemporal Characteristics of Air Quality across Weifang from 2014–2018
title_full Spatiotemporal Characteristics of Air Quality across Weifang from 2014–2018
title_fullStr Spatiotemporal Characteristics of Air Quality across Weifang from 2014–2018
title_full_unstemmed Spatiotemporal Characteristics of Air Quality across Weifang from 2014–2018
title_short Spatiotemporal Characteristics of Air Quality across Weifang from 2014–2018
title_sort spatiotemporal characteristics of air quality across weifang from 2014–2018
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747545/
https://www.ncbi.nlm.nih.gov/pubmed/31461986
http://dx.doi.org/10.3390/ijerph16173122
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AT mazhaoting spatiotemporalcharacteristicsofairqualityacrossweifangfrom20142018