Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.landurbplan.2011.01.004
DC FieldValue
dc.titleImproving the wind environment in high-density cities by understanding urban morphology and surface roughness: A study in Hong Kong
dc.contributor.authorNg, Edward
dc.contributor.authorYuan, Chao
dc.contributor.authorChen, Liang
dc.contributor.authorRen, Chao
dc.contributor.authorFung, Jimmy CH
dc.date.accessioned2021-07-06T01:30:30Z
dc.date.available2021-07-06T01:30:30Z
dc.date.issued2011-05-15
dc.identifier.citationNg, Edward, Yuan, Chao, Chen, Liang, Ren, Chao, Fung, Jimmy CH (2011-05-15). Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: A study in Hong Kong. LANDSCAPE AND URBAN PLANNING 101 (1) : 59-74. ScholarBank@NUS Repository. https://doi.org/10.1016/j.landurbplan.2011.01.004
dc.identifier.issn01692046
dc.identifier.issn18726062
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/193693
dc.description.abstractIn 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. © 2011 Elsevier B.V.
dc.language.isoen
dc.publisherELSEVIER
dc.sourceElements
dc.subjectScience & Technology
dc.subjectSocial Sciences
dc.subjectLife Sciences & Biomedicine
dc.subjectPhysical Sciences
dc.subjectEcology
dc.subjectEnvironmental Studies
dc.subjectGeography
dc.subjectGeography, Physical
dc.subjectRegional & Urban Planning
dc.subjectUrban Studies
dc.subjectEnvironmental Sciences & Ecology
dc.subjectPhysical Geography
dc.subjectPublic Administration
dc.subjectUrban planning
dc.subjectUrban ventilation
dc.subjectUrban roughness
dc.subjectFrontal area density
dc.subjectDRAG PARTITION
dc.subjectCFD ANALYSIS
dc.subjectTUNNEL
dc.subjectGUIDELINES
dc.subjectCLIMATE
dc.subjectSIMULATION
dc.subjectTESTS
dc.subjectMODEL
dc.typeArticle
dc.date.updated2021-07-05T06:42:27Z
dc.contributor.departmentARCHITECTURE
dc.description.doi10.1016/j.landurbplan.2011.01.004
dc.description.sourcetitleLANDSCAPE AND URBAN PLANNING
dc.description.volume101
dc.description.issue1
dc.description.page59-74
dc.published.statePublished
Appears in Collections:Staff Publications
Elements

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Frontal area density_2011.pdf4.99 MBAdobe PDF

CLOSED

None

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.