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Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: A study in Hong Kong
In this study, a high-resolution frontal area density (FAD) map that depicts the surface roughness of urban Hong Kong is produced using a mapping method that takes into account the dense urban morphology and the site wind availability of the territory. Using the MM5/CALMET model simulated wind data...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127139/ https://www.ncbi.nlm.nih.gov/pubmed/32287617 http://dx.doi.org/10.1016/j.landurbplan.2011.01.004 |
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author | Ng, Edward Yuan, Chao Chen, Liang Ren, Chao Fung, Jimmy C.H. |
author_facet | Ng, Edward Yuan, Chao Chen, Liang Ren, Chao Fung, Jimmy C.H. |
author_sort | Ng, Edward |
collection | PubMed |
description | In this study, a high-resolution frontal area density (FAD) map that depicts the surface roughness of urban Hong Kong is produced using a mapping method that takes into account the dense urban morphology and the site wind availability of the territory. Using the MM5/CALMET model simulated wind data of Hong Kong, the FAD map of three urban zones are calculated: podium (0–15 m), building (15–60 m), and urban canopy (0–60 m). The wind tunnel test data is used to correlate the FAD understanding of the three zones. The grid sensitivity test indicates that 200 m × 200 m is the reasonable resolution for the FAD map; the test also establishes that the lower urban podium zone yields the best correlation with the experimental data. The study further establishes that the simpler two-dimensional ground coverage ratio (GCR), which is readily available in the planning circle, can be used to predict the area's average pedestrian level urban ventilation performance of the city. Working with their inhouse GIS team using available data, it allows the planners a way to understand the urban ventilation of the city for decisions related to air paths, urban permeability and site porosity. |
format | Online Article Text |
id | pubmed-7127139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71271392020-04-08 Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: A study in Hong Kong Ng, Edward Yuan, Chao Chen, Liang Ren, Chao Fung, Jimmy C.H. Landsc Urban Plan Article In this study, a high-resolution frontal area density (FAD) map that depicts the surface roughness of urban Hong Kong is produced using a mapping method that takes into account the dense urban morphology and the site wind availability of the territory. Using the MM5/CALMET model simulated wind data of Hong Kong, the FAD map of three urban zones are calculated: podium (0–15 m), building (15–60 m), and urban canopy (0–60 m). The wind tunnel test data is used to correlate the FAD understanding of the three zones. The grid sensitivity test indicates that 200 m × 200 m is the reasonable resolution for the FAD map; the test also establishes that the lower urban podium zone yields the best correlation with the experimental data. The study further establishes that the simpler two-dimensional ground coverage ratio (GCR), which is readily available in the planning circle, can be used to predict the area's average pedestrian level urban ventilation performance of the city. Working with their inhouse GIS team using available data, it allows the planners a way to understand the urban ventilation of the city for decisions related to air paths, urban permeability and site porosity. Elsevier B.V. 2011-05-15 2011-02-09 /pmc/articles/PMC7127139/ /pubmed/32287617 http://dx.doi.org/10.1016/j.landurbplan.2011.01.004 Text en Copyright © 2011 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ng, Edward Yuan, Chao Chen, Liang Ren, Chao Fung, Jimmy C.H. Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: A study in Hong Kong |
title | Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: A study in Hong Kong |
title_full | Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: A study in Hong Kong |
title_fullStr | Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: A study in Hong Kong |
title_full_unstemmed | Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: A study in Hong Kong |
title_short | Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: A study in Hong Kong |
title_sort | improving the wind environment in high-density cities by understanding urban morphology and surface roughness: a study in hong kong |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127139/ https://www.ncbi.nlm.nih.gov/pubmed/32287617 http://dx.doi.org/10.1016/j.landurbplan.2011.01.004 |
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