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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: Yin, Jie, Zhan, Qingming, Tayyab, Muhammad, Zahra, Aqeela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582679/
https://www.ncbi.nlm.nih.gov/pubmed/34770197
http://dx.doi.org/10.3390/ijerph182111684
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author Yin, Jie
Zhan, Qingming
Tayyab, Muhammad
Zahra, Aqeela
author_facet Yin, Jie
Zhan, Qingming
Tayyab, Muhammad
Zahra, Aqeela
author_sort Yin, Jie
collection PubMed
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.
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spelling pubmed-85826792021-11-12 The Ventilation Efficiency of Urban Built Intensity and Ventilation Path Identification: A Case Study of Wuhan Yin, Jie Zhan, Qingming Tayyab, Muhammad Zahra, Aqeela Int J Environ Res Public Health Article 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. MDPI 2021-11-07 /pmc/articles/PMC8582679/ /pubmed/34770197 http://dx.doi.org/10.3390/ijerph182111684 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yin, Jie
Zhan, Qingming
Tayyab, Muhammad
Zahra, Aqeela
The Ventilation Efficiency of Urban Built Intensity and Ventilation Path Identification: A Case Study of Wuhan
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582679/
https://www.ncbi.nlm.nih.gov/pubmed/34770197
http://dx.doi.org/10.3390/ijerph182111684
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