Exploring the Joint Impacts of Natural and Built Environments on PM2.5 Concentrations and Their Spatial Heterogeneity in the Context of High-Density Chinese Cities

Air pollution in China has attracted wide interest from the public and academic communities. PM2.5 is the primary air pollutant across China. PM2.5 mainly comes from human activities, and the natural environment and urban built environment affect its dis...

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Autores principales:	Shanyou Duan, Qian Liu, Dumei Jiang, Yulin Jiang, Yinzhi Lin, Ziying Gong
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	natural and built environment PM<sub>2.5</sub> concentrations spatial heterogeneity Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/ca88a8612a164513bc6db01d5a26b371
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spelling	oai:doaj.org-article:ca88a8612a164513bc6db01d5a26b3712021-11-11T19:29:07ZExploring the Joint Impacts of Natural and Built Environments on PM<sub>2.5</sub> Concentrations and Their Spatial Heterogeneity in the Context of High-Density Chinese Cities10.3390/su1321117752071-1050https://doaj.org/article/ca88a8612a164513bc6db01d5a26b3712021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11775https://doaj.org/toc/2071-1050Air pollution in China has attracted wide interest from the public and academic communities. PM<sub>2.5</sub> is the primary air pollutant across China. PM<sub>2.5</sub> mainly comes from human activities, and the natural environment and urban built environment affect its distribution and diffusion. In contrast to American and European cities, Chinese cities are much denser, and studies on the relationships between urban form and air quality in high-density Chinese cities are still limited. In this paper, we used the ordinary least square (OLS) and geographical weighted regression (GWR) models, selected an already high-density city, Shenzhen, as the study area, and explored the effects of the natural and built environments on air pollution. The results showed that temperature always had a positive influence on PM<sub>2.5</sub> and wind speed had a varied impact on PM<sub>2.5</sub> within the city. Based on the natural factors analysis, the paper found that an increase in the floor area ratio (FAR) and road density may have caused the increase in the PM<sub>2.5</sub> concentration in the central city. In terms of land use mix, land use policies should be adopted separately in the central city and suburban areas. Finally, in terms of spatial heterogeneity, the GWR models achieved much better performances than the global multivariate regression models, with lower AICc and RMSE values and higher adjusted <i>R</i><sup>2</sup> values, ultimately explaining 60% of the variance across different city areas. The results indicated that policies and interventions should be more targeted to improve the air environment and reduce personal exposure according to the spatial geographical context.Shanyou DuanQian LiuDumei JiangYulin JiangYinzhi LinZiying GongMDPI AGarticlenatural and built environmentPM<sub>2.5</sub> concentrationsspatial heterogeneityEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11775, p 11775 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	natural and built environment PM<sub>2.5</sub> concentrations spatial heterogeneity Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	natural and built environment PM<sub>2.5</sub> concentrations spatial heterogeneity Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Shanyou Duan Qian Liu Dumei Jiang Yulin Jiang Yinzhi Lin Ziying Gong Exploring the Joint Impacts of Natural and Built Environments on PM<sub>2.5</sub> Concentrations and Their Spatial Heterogeneity in the Context of High-Density Chinese Cities
description	Air pollution in China has attracted wide interest from the public and academic communities. PM<sub>2.5</sub> is the primary air pollutant across China. PM<sub>2.5</sub> mainly comes from human activities, and the natural environment and urban built environment affect its distribution and diffusion. In contrast to American and European cities, Chinese cities are much denser, and studies on the relationships between urban form and air quality in high-density Chinese cities are still limited. In this paper, we used the ordinary least square (OLS) and geographical weighted regression (GWR) models, selected an already high-density city, Shenzhen, as the study area, and explored the effects of the natural and built environments on air pollution. The results showed that temperature always had a positive influence on PM<sub>2.5</sub> and wind speed had a varied impact on PM<sub>2.5</sub> within the city. Based on the natural factors analysis, the paper found that an increase in the floor area ratio (FAR) and road density may have caused the increase in the PM<sub>2.5</sub> concentration in the central city. In terms of land use mix, land use policies should be adopted separately in the central city and suburban areas. Finally, in terms of spatial heterogeneity, the GWR models achieved much better performances than the global multivariate regression models, with lower AICc and RMSE values and higher adjusted <i>R</i><sup>2</sup> values, ultimately explaining 60% of the variance across different city areas. The results indicated that policies and interventions should be more targeted to improve the air environment and reduce personal exposure according to the spatial geographical context.
format	article
author	Shanyou Duan Qian Liu Dumei Jiang Yulin Jiang Yinzhi Lin Ziying Gong
author_facet	Shanyou Duan Qian Liu Dumei Jiang Yulin Jiang Yinzhi Lin Ziying Gong
author_sort	Shanyou Duan
title	Exploring the Joint Impacts of Natural and Built Environments on PM<sub>2.5</sub> Concentrations and Their Spatial Heterogeneity in the Context of High-Density Chinese Cities
title_short	Exploring the Joint Impacts of Natural and Built Environments on PM<sub>2.5</sub> Concentrations and Their Spatial Heterogeneity in the Context of High-Density Chinese Cities
title_full	Exploring the Joint Impacts of Natural and Built Environments on PM<sub>2.5</sub> Concentrations and Their Spatial Heterogeneity in the Context of High-Density Chinese Cities
title_fullStr	Exploring the Joint Impacts of Natural and Built Environments on PM<sub>2.5</sub> Concentrations and Their Spatial Heterogeneity in the Context of High-Density Chinese Cities
title_full_unstemmed	Exploring the Joint Impacts of Natural and Built Environments on PM<sub>2.5</sub> Concentrations and Their Spatial Heterogeneity in the Context of High-Density Chinese Cities
title_sort	exploring the joint impacts of natural and built environments on pm<sub>2.5</sub> concentrations and their spatial heterogeneity in the context of high-density chinese cities
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ca88a8612a164513bc6db01d5a26b371
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Exploring the Joint Impacts of Natural and Built Environments on PM<sub>2.5</sub> Concentrations and Their Spatial Heterogeneity in the Context of High-Density Chinese Cities

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