Developing Three-Dimensional CFD City Model Based on Public Accessible Information for Street-Level Wind Risk Assessment

H. Y. Miao, J. L. Shen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

A three-dimensional city model based on public accessible online information has been developed with success in this study. Detailed procedures on how to develop such model for computational fluid dynamics (CFD) simulation by using online maps, public accessible building information and online multimedia data will be reported in this paper. The city model developed in this study covers Marina Bay area of Singapore that includes highly developed urban region with many skyscrapers, greenery and water bodies, making it suitable for future urban heat island investigation. It can predict the street-level wind climate with a resolution of meters and has been validated by comparing with the measured wind data. We then conduct a risk assessment study of urban wind channels caused by a tropical typhoon, Vamei, which passed by Singapore on 27th Dec 2001. Furthermore, the application of the CFD city model in improving a real time wind prediction system for water quality control purpose is discussed.

Original languageEnglish
Title of host publicationProceedings of the 19th Australasian Fluid Mechanics Conference, AFMC 2014
PublisherAustralasian Fluid Mechanics Society
Pages1095-1098
Number of pages4
Volume1
ISBN (Electronic)9780646596952
ISBN (Print)9781510826847
Publication statusPublished - 2016
Externally publishedYes
Event19th Australasian Fluid Mechanics Conference - Melbourne, Australia
Duration: 8 Dec 201411 Dec 2014
Conference number: 19

Conference

Conference19th Australasian Fluid Mechanics Conference
Abbreviated titleAFMC 2014
Country/TerritoryAustralia
CityMelbourne
Period8/12/1411/12/14

Fingerprint

Dive into the research topics of 'Developing Three-Dimensional CFD City Model Based on Public Accessible Information for Street-Level Wind Risk Assessment'. Together they form a unique fingerprint.

Cite this