Mapping the local climate zones of urban areas by GIS-based and WUDAPT methods: A case study of Hong Kong

被引:143
作者
Wang, Ran [1 ]
Ren, Chao [1 ,2 ,3 ]
Xu, Yong [2 ]
Lau, Kevin Ka-Lun [2 ,3 ,4 ]
Shi, Yuan [1 ]
机构
[1] Chinese Univ Hong Kong, Sch Architecture, Shatin, Hong Kong, Peoples R China
[2] Chinese Univ Hong Kong, Inst Future Cities, Hong Kong, Hong Kong, Peoples R China
[3] Chinese Univ Hong Kong, Inst Energy Environm & Sustainabil, Hong Kong, Hong Kong, Peoples R China
[4] Chinese Univ Hong Kong, Inst Aging, Hong Kong, Hong Kong, Peoples R China
关键词
Local Climate Zone (LCZ); WUDAPT (World Urban Database and Access Portal Tools); High Density City; Urban Heat Island (UHI); Hong Kong; CLASSIFICATION; TEMPERATURE; CITIES;
D O I
10.1016/j.uclim.2017.10.001
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Local Climate Zone (LCZ) developed by Stewart and Oke has become an international standard to analyse urban morphology and the corresponding urban heat island phenomenon. Primary methods for LCZ mapping include in-situ measurements, geographic information system (GIS)based and remote-sensing-image-based calculations. However, there are few studies discussing their accuracy and suitability. This study focuses on examining and discussing the GIS-based method and the World Urban Database and Access Portal Tools (WUDAPT) Level 0 method. Hong Kong is selected as the study area due to its complex urban morphology and high-density context. The results show, at a city level, both methods can detect LCZ classifications that match with the actual spatial distribution of land use in Hong Kong. Thus WUDAPT level 0 data can be used as input data for mesoscale weather and climate modelling, when lacking precise urban morphology data. Meanwhile, at a district level, the GIS-based method detects more details than the WUDAPT method. However, WUDAPT method classifies land cover types more accurately. These findings provide an in-depth understanding of different LCZ mapping methods and their advantages and limitations. It can also help climatologists, modellers and planners select an appropriate LCZ mapping method for their studies of urban climatic applications.
引用
收藏
页码:567 / 576
页数:10
相关论文
共 36 条
  • [1] [Anonymous], 1987, BOUNDARY LAYER CLIMA
  • [2] [Anonymous], 2011 JOINT URB REM S
  • [3] [Anonymous], 2009, WORLD CLIM C
  • [4] Classification of Local Climate Zones Using SAR and Multispectral Data in an Arid Environment
    Bechtel, Benjamin
    See, Linda
    Mills, Gerald
    Foley, Micheal
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (07) : 3097 - 3105
  • [5] Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities
    Bechtel, Benjamin
    Alexander, Paul J.
    Boehner, Juergen
    Ching, Jason
    Conrad, Olaf
    Feddema, Johannes
    Mills, Gerald
    See, Linda
    Stewart, Iain
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2015, 4 (01) : 199 - 219
  • [6] Classification of Local Climate Zones Based on Multiple Earth Observation Data
    Bechtel, Benjamin
    Daneke, Christian
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2012, 5 (04) : 1191 - 1202
  • [7] Bockstael N, 1999, 48 IGBP IHDP
  • [8] Bohner J., 2006, GOTT GEOGR ABH, V115, P13
  • [9] WUDAPT, an efficient land use producing data tool for mesoscale models? Integration of urban LCZ in WRF over Madrid
    Brousse, Oscar
    Martilli, Alberto
    Foley, Michael
    Mills, Gerald
    Bechtel, Benjamin
    [J]. URBAN CLIMATE, 2016, 17 : 116 - 134
  • [10] Fuzzy prototype classifier based on items and its application in recommender system
    Cai, Mei
    Gong, Zaiwu
    Li, Yan
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2017, 10 (01) : 1016 - 1035