Quantitative urban climate mapping based on a geographical database: A simulation approach using Hong Kong as a case study
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AbstractThe urban environment has been dramatically changed by artificial constructions. How the modified urban geometry affects the urban climate and therefore human thermal comfort has become a primary concern for urban planners. The present study takes a simulation approach to analyze the influence of urban geometry on the urban climate and maps this climatic understanding from a quantitative perspective. A geographical building database is used to characterize two widely discussed aspects: urban heat island effect (UHI) and wind dynamics. The parameters of the sky view factor (SVF) and the frontal area density (FAD) are simulated using ArcGIS-embedded computer programs to link urban geometry with the UHI and wind dynamic conditions. The simulated results are synergized and classified to evaluate different urban climatic conditions based on thermal comfort consideration. A climatic map is then generated implementing the classification. The climatic map shows reasonable agreement with thermal comfort understanding, as indicated by the biometeorological index of the physiological equivalent temperature (PET) obtained in an earlier study. The proposed climate mapping approach can provide both quantitative and visual evaluation of the urban environment for urban planners with climatic concerns. The map could be used as a decision support tool in planning and policy-making processes. An urban area in Hong Kong is used as a case study. (C) 2011 Elsevier B.V. All rights reserved.
All Author(s) ListChen L, Ng E
Journal nameInternational Journal of Applied Earth Observation and Geoinformation
Detailed descriptiondoi: 10.1016/j.jag.2011.03.003.
Year2011
Month8
Day1
Volume Number13
Issue Number4
PublisherElsevier
Pages586 - 594
ISSN0303-2434
LanguagesEnglish-United Kingdom
KeywordsFrontal area density; Geographical information system; Sky view factor; Urban climate mapping; Urban simulation
Web of Science Subject CategoriesRemote Sensing; REMOTE SENSING

Last updated on 2020-14-07 at 00:27