Urban Design Factors Influencing Surface Urban Heat Island in the High-Density City of Guangzhou Based on the Local Climate Zone

被引:45
|
作者
Shi, Yurong [1 ]
Xiang, Yirui [1 ]
Zhang, Yufeng [1 ]
机构
[1] South China Univ Technol, Dept Architecture, State Key Lab Subtrop Bldg Sci, 381 Wushan Rd, Guangzhou 510640, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
land surface temperature; surface urban heat island; social climate zone; retrieval algorithms; SPECTRAL MIXTURE ANALYSIS; MONO-WINDOW ALGORITHM; SKY VIEW-FACTORS; TEMPERATURE; RETRIEVAL; EMISSIVITY; WUDAPT; SCHEME; CLASSIFICATION; ENVIRONMENTS;
D O I
10.3390/s19163459
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Surface urban heat island (SUHI) depicts the deteriorating thermal environment in high-density cities and local climate zone (LCZ) classification provides a universal protocol for SUHI identification. In this study, taking the central urbanized area of Guangzhou in the humid subtropical region of China as the study area, the maps or images of LCZ, land surface temperature, SUHI, and urban design factors were achieved using Landsat satellite data, GIS database, and a series of retrieval and classification algorithms, and the urban design factors influencing SUHI were investigated based on 625 samples of LCZs. The results show that on the 18 September 2016 at the local time of 10:51 a.m., the land surface temperature (LST) varied greatly from 26 degrees C to 40 degrees C and the SUHI changed with a wide range of -6 degrees C to 8 degrees C in the LCZs of the study area. Seven and five urban design factors influencing the summer daytime SUHI were identified for the two dominant LCZs of LCZs 1-5 (LCZ 1 to LCZ 5) and the mixed LCZ (containing at least three types of LCZs), respectively, in which vegetation cover ratio, floor area ratio, ground emissivity, and complete surface area ratio showed negative correlations and building density showed positive correlations. The summer daytime SUHI prediction models were obtained by using the step-wise multiple linear regression, with the performance of R-2 of 0.774, RMSE of 0.95 degrees C, and the d value of 0.91 for the model of LCZs 1-5, and the values of 0.819, 0.81 degrees C, and 0.94 for the model of the mixed LCZ, indicating that the models can effectively predict the changes of SUHI with LCZs. This study presents a methodology to efficiently achieve a large sample of SUHI and urban design factors of LCZs, and provides information beneficial to the urban designs and regenerations in high-density cities.
引用
收藏
页数:20
相关论文
共 50 条
  • [41] Surface urban heat island analysis based on local climate zones using ECOSTRESS and Landsat data: A case study of Valencia city (Spain)
    Wei, Letian
    Sobrino, Jose A.
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 130
  • [42] Spatial Distribution of Urban Heat Island based on Local Climate Zone of Automatic Weather Station in Seoul Metropolitan Area
    Hong, Je-Woo
    Hong, Jinkyu
    Lee, Seong-Eun
    Lee, Jaewon
    [J]. ATMOSPHERE-KOREA, 2013, 23 (04): : 413 - 424
  • [43] An Urban Form Experiment on Urban Heat Island Effect in High Density Area
    Hu, Youpei
    White, Marcus
    Ding, Wowo
    [J]. FOURTH INTERNATIONAL CONFERENCE ON COUNTERMEASURES TO URBAN HEAT ISLAND, (UHI 2016), 2016, 169 : 166 - 174
  • [44] The effect of urban heat island on Izmir's city ecosystem and climate
    Corumluoglu, Ozsen
    Asri, Ibrahim
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2015, 22 (05) : 3202 - 3211
  • [45] The effect of urban heat island on Izmir’s city ecosystem and climate
    Ozsen Corumluoglu
    Ibrahim Asri
    [J]. Environmental Science and Pollution Research, 2015, 22 : 3202 - 3211
  • [46] Mitigating urban heat island effects in high-density cities based on sky view factor and urban morphological understanding: a study of Hong Kong
    Yuan, Chao
    Chen, Liang
    [J]. ARCHITECTURAL SCIENCE REVIEW, 2011, 54 (04) : 305 - 315
  • [47] Inter-local climate zone di fferentiation of land surface temperatures for Management of Urban Heat in Nairobi City, Kenya
    Ochola, Emmanuel Matsaba
    Fakharizadehshirazi, Elham
    Adimo, Aggrey Ochieng
    Mukundi, John Bosco
    Wesonga, John Mwibanda
    Sodoudi, Sahar
    [J]. URBAN CLIMATE, 2020, 31
  • [48] A systematic approach for urban heat island mitigation strategies in critical local climate zones of an Indian city
    Kotharkar, Rajashree
    Bagade, Anurag
    Singh, Pranjal Raj
    [J]. URBAN CLIMATE, 2020, 34
  • [49] Factors affecting urban renewal in high-density city: Case study of Hong Kong
    Lee, Grace K. L.
    Chan, Edwin H. W.
    [J]. JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 2008, 134 (03) : 140 - 148
  • [50] Effects of urban planning indicators on urban heat island: a case study of pocket parks in high-rise high-density environment
    Lin, Pingying
    Lau, Stephen Siu Yu
    Qin, Hao
    Gou, Zhonghua
    [J]. LANDSCAPE AND URBAN PLANNING, 2017, 168 : 48 - 60