The Ventilation Efficiency of Urban Built Intensity and Ventilation Path Identification: A Case Study of Wuhan

Urban ventilation is being hampered by rough surfaces in dense urban areas, and the microclimate and air quality of the urban built environment are not ideal. Identifying urban ventilation paths is helpful to save energy, reduce emissions, and improve the urban ecological environment. Wuhan is the c...

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Autores principales:	Jie Yin, Qingming Zhan, Muhammad Tayyab, Aqeela Zahra
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	urban built intensity index ventilation efficiency index ventilation path geographic information system (GIS) computational fluid dynamics (CFD) Medicine R
Acceso en línea:	https://doaj.org/article/66c3b7dc5a1b471aa7bba5b2f77c05cd
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spelling	oai:doaj.org-article:66c3b7dc5a1b471aa7bba5b2f77c05cd2021-11-11T16:46:16ZThe Ventilation Efficiency of Urban Built Intensity and Ventilation Path Identification: A Case Study of Wuhan10.3390/ijerph1821116841660-46011661-7827https://doaj.org/article/66c3b7dc5a1b471aa7bba5b2f77c05cd2021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11684https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Urban ventilation is being hampered by rough surfaces in dense urban areas, and the microclimate and air quality of the urban built environment are not ideal. Identifying urban ventilation paths is helpful to save energy, reduce emissions, and improve the urban ecological environment. Wuhan is the capital city of Hubei, and it has a high urban built intensity and hot summers. Taking Wuhan city, with a size of 35 km ×50 km, as an example, the built environment was divided into grids of 100 m × 100 m and included the building density, floor area ratio, and average building height. The ventilation mechanism of the urban built intensity index has previously been explained. The decrease in building density is not the sole factor causing an increase in wind speed; the enclosure and width of the ventilation path and the height of the front building are also influential. Twelve urban built units were selected for CFD numerical simulation. The ventilation efficiency of each grid was evaluated by calculating the wind speed ratio, maximum wind speed, average wind speed, and area ratio of strong wind. The relationship between the urban built intensity index and ventilation efficiency index was established using the factor analysis method and the Pearson correlation coefficient; building density and average building height are the most critical indexes of ventilation potential. In addition, the layout of the building also has an important impact on ventilation. A suitable built environment is that in which the building density is less than 30%, the average building height is greater than 15 m, and the floor area ratio is greater than 1.5. The urban built intensity map was weighted to identify urban ventilation paths. The paper provides a quantitative reference for scientific planning and design of the urban spatial form to improve ventilation.Jie YinQingming ZhanMuhammad TayyabAqeela ZahraMDPI AGarticleurban built intensity indexventilation efficiency indexventilation pathgeographic information system (GIS)computational fluid dynamics (CFD)MedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11684, p 11684 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	urban built intensity index ventilation efficiency index ventilation path geographic information system (GIS) computational fluid dynamics (CFD) Medicine R
spellingShingle	urban built intensity index ventilation efficiency index ventilation path geographic information system (GIS) computational fluid dynamics (CFD) Medicine R Jie Yin Qingming Zhan Muhammad Tayyab Aqeela Zahra The Ventilation Efficiency of Urban Built Intensity and Ventilation Path Identification: A Case Study of Wuhan
description	Urban ventilation is being hampered by rough surfaces in dense urban areas, and the microclimate and air quality of the urban built environment are not ideal. Identifying urban ventilation paths is helpful to save energy, reduce emissions, and improve the urban ecological environment. Wuhan is the capital city of Hubei, and it has a high urban built intensity and hot summers. Taking Wuhan city, with a size of 35 km ×50 km, as an example, the built environment was divided into grids of 100 m × 100 m and included the building density, floor area ratio, and average building height. The ventilation mechanism of the urban built intensity index has previously been explained. The decrease in building density is not the sole factor causing an increase in wind speed; the enclosure and width of the ventilation path and the height of the front building are also influential. Twelve urban built units were selected for CFD numerical simulation. The ventilation efficiency of each grid was evaluated by calculating the wind speed ratio, maximum wind speed, average wind speed, and area ratio of strong wind. The relationship between the urban built intensity index and ventilation efficiency index was established using the factor analysis method and the Pearson correlation coefficient; building density and average building height are the most critical indexes of ventilation potential. In addition, the layout of the building also has an important impact on ventilation. A suitable built environment is that in which the building density is less than 30%, the average building height is greater than 15 m, and the floor area ratio is greater than 1.5. The urban built intensity map was weighted to identify urban ventilation paths. The paper provides a quantitative reference for scientific planning and design of the urban spatial form to improve ventilation.
format	article
author	Jie Yin Qingming Zhan Muhammad Tayyab Aqeela Zahra
author_facet	Jie Yin Qingming Zhan Muhammad Tayyab Aqeela Zahra
author_sort	Jie Yin
title	The Ventilation Efficiency of Urban Built Intensity and Ventilation Path Identification: A Case Study of Wuhan
title_short	The Ventilation Efficiency of Urban Built Intensity and Ventilation Path Identification: A Case Study of Wuhan
title_full	The Ventilation Efficiency of Urban Built Intensity and Ventilation Path Identification: A Case Study of Wuhan
title_fullStr	The Ventilation Efficiency of Urban Built Intensity and Ventilation Path Identification: A Case Study of Wuhan
title_full_unstemmed	The Ventilation Efficiency of Urban Built Intensity and Ventilation Path Identification: A Case Study of Wuhan
title_sort	ventilation efficiency of urban built intensity and ventilation path identification: a case study of wuhan
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/66c3b7dc5a1b471aa7bba5b2f77c05cd
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The Ventilation Efficiency of Urban Built Intensity and Ventilation Path Identification: A Case Study of Wuhan

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