GIS-based Mapping of Local Climate Zone in the High-density City of Hong Kong
Publication in refereed journal
Officially Accepted for Publication


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AbstractThis study aims to develop an Local Climate Zone (LCZ) classification map and establish the associated urban morphology database as a cross-discipline information platform for climate research and planning decision making in Hong Kong. Geographic information system (GIS) was applied to synergize various kinds of planning data, and
classify land surface properties following the LCZ framework. Sensitivity tests were performed to identify the appropriate raster resolution and geolocation for LCZ classification. Next, a set of urban morphology analysis maps were developed. Based on the spatial information supported by the urban morphology analysis maps, land surface properties were classified according to the LCZ classification criteria, and an LCZ classification map was formulated. Finally, spatial distribution pattern of LCZ classes was analyzed, and LCZ datasets were established following the standardized procedure suggested by the LCZ framework. The LCZ classification system not only provides site metadata for UHI observation in Hong Kong, but also expands the global LCZ database under the high-density urban scenario. This study proposes an integrative GIS-based method to process various kinds of planning data for urban morphology analysis and LCZ-based land surface classification, which is also applicable to other cities with a comprehensive set of planning information.
Acceptance Date21/05/2017
All Author(s) ListYingsheng ZHENG, Chao REN, Yong XU, Ran WANG; Justin HO, Kevin LAU, Edward NG
Journal nameUrban Climate
Year2017
Month6
PublisherElsevier
ISSN2212-0955
LanguagesEnglish-United Kingdom
KeywordsLocal Climate Zone, High-density city, Raster-based GIS method, Sensitivity test, Urban morphology analysis

Last updated on 2020-06-07 at 01:50