کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4465237 1621849 2011 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Quantitative urban climate mapping based on a geographical database: A simulation approach using Hong Kong as a case study
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
Quantitative urban climate mapping based on a geographical database: A simulation approach using Hong Kong as a case study
چکیده انگلیسی

The 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.


► GIS-based building database is used for modeling the sky view factor and the frontal area density.
► Urban climatic understanding is mapped into classified evaluations.
► Resulting climatic classes agree well with thermal comfort conditions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Applied Earth Observation and Geoinformation - Volume 13, Issue 4, August 2011, Pages 586–594
نویسندگان
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