Wind tunnel simulation of pollutant dispersion inside street canyons with galleries and multi-level flat roofs

Huang, Yuandong; Zeng, Ning-bin; Liu, Zeyu; Song, Yanping; Xu, Xuan

doi:10.1016/s1001-6058(16)60683-2

Cited by 13 publications

(2 citation statements)

References 17 publications

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“…In urban planning and urban ecology, urban spatial morphology includes three levels: micro, middle, and macro [44]. The microscale represents the functional space within the city [45] and the middle-and the macroscales are structures of the city cluster system [46]. The urban structure indicators (population density, industrial structure, traffic access, and nighttime remote sensing index) and the urban shape indicators (compactness, fractal dimension, centrality ratio, and circularity ratio) are defined on the middle-and macroscales [47].…”

Section: Meaning and Characterization Of Urban Spatial Morphology Ind...mentioning

confidence: 99%

The Relationship between Urban Expansion and Air Pollution Depends on Urban Spatial Morphology in the “2 + 26” Cities of Beijing-Tianjin-Hebei, China

Ye,

Wang,

Chen

et al. 2023

Applied Sciences

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Urban spatial morphology reflects the processes of external urban expansion and the internal spatial structure of the human economy, and exploring urban spatial morphology is important for regional management of PM2.5 pollutants in the air environment. Whether urban spatial morphology can influence air pollution is a question that has been explored and evaluated. Therefore, we constructed a spatial-temporal driving mechanism framework and explored the interactions among urban expansion and PM2.5 pollutants in the “2 + 26” cities of Beijing-Tianjin-Hebei (BTH). Based on 2010, 2015, and 2020 urban expansion factors and PM2.5 pollutants data from the “2 + 26” cities of BTH, the results of the Geo-Detector medal imply that: (1) The spatial distribution characteristics of areas with high PM2.5 pollutants in the “2 + 26” cities of BTH were affected by the PM2.5 concentration value, and the high-value phenomenon appeared to decrease with the improvement of PM2.5 pollutants. (2) The level of urbanization in the “2 + 26” cities of BTH had been increasing annually, with the most significant growth in construction land area located in the northeastern coastal cities. (3) The compactness index, was the most critical influencing urban expansion factor, explaining 0.63, 0.64, and 0.66 of PM2.5 pollutants in 2010, 2015, and 2020. (4) In factorial interactions, the compactness index and the centrality ratio explained spatial and temporal analysis characteristics of PM2.5 pollutants, and the interaction factor enhanced the explanation for the spatial-temporal characteristics. This study reveals the coupled spatial-temporal driving mechanism of air pollution in the “2 + 26” cities of BTH and also shows that reasonable urban planning has a positive impact on the regional ecological environment in the future.

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Section: Meaning and Characterization Of Urban Spatial Morphology Ind...mentioning

confidence: 99%

The Relationship between Urban Expansion and Air Pollution Depends on Urban Spatial Morphology in the “2 + 26” Cities of Beijing-Tianjin-Hebei, China

Ye,

Wang,

Chen

et al. 2023

Applied Sciences

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“…Indeed, the layout of buildings directly affects the wind fields by creating eddies and, thus, trapping pollutants [25]. Features of buildings, such as height, roof shape, and the presence of gallery (or porosity) influence the wind flow [26][27][28][29]. Most modeling programs represent buildings as rectangular boxes that may contain galleries, but the shape of the roof is rarely represented.…”

mentioning

confidence: 99%

Establishing an Air Quality Index Based on Proxy Data for Urban Planning Part 1: Methodological Developments and Preliminary Tests

Falzone

Romain²

2022

Atmosphere

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In the last few decades, urban planning has expanded regarding environmental considerations. However, air quality, which is regarded as an important aspect of the green development of cities, is not considered in urban planning. This research aims to propose a tool to easily introduce air quality considerations into urban projects. Nowadays, the usual air pollutants (NOx, PM, SO2, and O3) are measured via sophisticated monitoring stations—or even low-cost devices—to give near-real-time air quality indices. However, stations are not adapted to local air pollution and real-time data are not helpful for planning purposes. An index able to rank areas and projects based on urban “air proxy data” would help decision makers. This paper presents how to create an air quality index as a decision support tool for urban planning. No pollutant measurement campaign will be necessary and only data that are easily accessible, even to nonexperts, are used. This paper describes the methodological development of an index that we call AQOI (Air Quality Observed Index), and the results obtained for four different locations (industrial, urban, and rural) considered as preliminary tests.

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A wind tunnel study on flow instability and pollutant dispersion inside an isolated street canyon

Wu,

Cui,

Shen

et al. 2024

Environ Fluid Mech

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Wind tunnel simulation of pollutant dispersion inside street canyons with galleries and multi-level flat roofs

Cited by 13 publications

References 17 publications

The Relationship between Urban Expansion and Air Pollution Depends on Urban Spatial Morphology in the “2 + 26” Cities of Beijing-Tianjin-Hebei, China

The Relationship between Urban Expansion and Air Pollution Depends on Urban Spatial Morphology in the “2 + 26” Cities of Beijing-Tianjin-Hebei, China

Establishing an Air Quality Index Based on Proxy Data for Urban Planning Part 1: Methodological Developments and Preliminary Tests

A wind tunnel study on flow instability and pollutant dispersion inside an isolated street canyon

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