The Influence of Three-Dimensional Building Morphology on PM 2.5 Concentrations in the Yangtze River Delta

Jing Zhang, Wenjian Zhu, Dubin Dong, Yuan Ren, Wenhao Hu, Xinjie Jin, Zhengxuan He, Jian Chen, Xiaoai Jin () and Tianhuan Zhou ()
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Jing Zhang: State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
Wenjian Zhu: State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
Dubin Dong: State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
Yuan Ren: State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
Wenhao Hu: School of Landscape Architecture and Architecture, Zhejiang A&F University, Hangzhou 311300, China
Xinjie Jin: College of Life and Environmental Sciences, Wenzhou University, Wenzhou 325035, China
Zhengxuan He: State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
Jian Chen: State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
Xiaoai Jin: State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
Tianhuan Zhou: Zhejiang Forest Resource Monitoring Center, Hangzhou 310020, China

Sustainability, 2024, vol. 16, issue 17, 1-17

Abstract: The rapid urbanization of urban areas in China has brought about great variation in the layout of cities and serious air pollution. Recently, the focus has been directed toward understanding the role of urban morphology in the generation and spread of atmospheric pollution, particularly in PM 2.5 emissions. However, there have been limited investigations into the impact of three-dimensional (3D) features on changes in PM 2.5 concentrations. By analyzing a wealth of data on building structures based on a mixed linear model and variance partition analysis in the Yangtze River Delta throughout 2018, this study sought to examine the associations between PM 2.5 concentrations and urban building form, and further compared the contributions of two-dimensional (2D) and 3D building features. The findings revealed that both 2D and 3D building forms played an important role in PM 2.5 concentrations. Notably, the greater contribution of 3D building forms on PM 2.5 concentrations was observed, especially during the summer, where they accounted for 20% compared to 7% for 2D forms. In particular, the building height range emerged as a crucial local factor affecting PM 2.5 concentrations, contributing up to 12%. Moreover, taller buildings with more variability in height were found to aid in the dispersion of pollution. These results underscore the substantial contribution of 3D building morphology to PM 2.5 pollution, contrasting with previous studies. Furthermore, compact buildings were linked to lower pollution levels, and an urban landscape characterized by polycentric urban structures and lower fragmentation was deemed more favorable for sustainable urban development. This study is significant in investigating the contribution of 3D morphology to PM 2.5 and its importance for pollution dispersion mechanisms. It suggests the adoption of a polycentric urban form with a broader range of building heights in urban planning for local governments in the Yangtze River Delta.

Keywords: PM 2.5 concentrations; building morphology; three-dimensional features; polycentric urban form (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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