Literature DB >> 33895455

Impact of urban morphology on the spatial and temporal distribution of PM2.5 concentration: A numerical simulation with WRF/CMAQ model in Wuhan, China.

Huahua Xu1, Hong Chen2.   

Abstract

The urban morphology can significantly change the urban microclimate, which in turn affects the diffusion of air pollutants. Urban planning is the most important means of shaping urban morphology. Therefore, this study takes Wuhan as an example and uses the method of WRF/CMAQ coupled UCM model to analyze the spatial and temporal distribution characteristics of PM2.5 in the Wuhan metropolitan area in winter 2015. The six most important urban morphological indicators in urban planning: the floor area ratio and building height, building density and building width, vegetation coverage ratio, and urban fraction, are selected and classified into three groups. Studying their impact on the spatial and temporal distribution of PM2.5 concentration provides support for urban planners to improve air quality. The results show that the maximum value of PM2.5 concentration in Wuhan urban area occurs in the morning rush hour, and PM2.5 is distributed concentrically in the downtown of the city (within the second ring highway) according to the highways around the city. The PM2.5 concentration in the downtown area with the most extensive urban morphological index is the highest, and it decreases with increasing distance from the downtown. Among the six indicators, building density and urban fraction have the most significant impact on PM2.5 concentration because they have the greatest impact on the wind speed at 10 m. The height of the planetary boundary layer is the key factors affect the vertical and horizontal diffusion of air pollutants. Except for the vegetation coverage ratio, the increase of other urban morphological indicators will lead to a decrease of PM2.5 concentration in Wuhan urban area at night. During the daytime, increasing the floor area ratio and building height will cause an increasing of PM2.5 concentration, but other indicators have the opposite effects.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Keywords:  Numerical simulation; PM(2.5) concentration; Spatiotemporal distribution; Urban morphology

Year:  2021        PMID: 33895455     DOI: 10.1016/j.jenvman.2021.112427

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  1 in total

1.  Consistency of the relationship between air pollution and the urban form: Evidence from the COVID-19 natural experiment.

Authors:  Mengyang Liu; Di Wei; Hong Chen
Journal:  Sustain Cities Soc       Date:  2022-05-30       Impact factor: 10.696

  1 in total

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