Mapping the spatial distribution of nocturnal urban heat island based on Local Climate Zone framework
A spatial understanding of street-scale urban heat island (UHI) is essential but challenging in Hong Kong, due to its highly heterogeneous urban environment and a limited weather station monitoring network. Night-time mobile measurements were conducted during the summertime of 2014 to monitor UHI va...
| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Online Access: | https://hdl.handle.net/10356/172468 |
| _version_ | 1811694447323250688 |
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| author | Zheng, Yingsheng Ren, Chao Shi, Yuan Yim, Steve Hung Lam Lai, Derrick Y. F. Xu, Yong Fang, Can Li, Wenjie |
| author2 | Asian School of the Environment |
| author_facet | Asian School of the Environment Zheng, Yingsheng Ren, Chao Shi, Yuan Yim, Steve Hung Lam Lai, Derrick Y. F. Xu, Yong Fang, Can Li, Wenjie |
| author_sort | Zheng, Yingsheng |
| collection | NTU |
| description | A spatial understanding of street-scale urban heat island (UHI) is essential but challenging in Hong Kong, due to its highly heterogeneous urban environment and a limited weather station monitoring network. Night-time mobile measurements were conducted during the summertime of 2014 to monitor UHI variation at local level. Three measurement routes and a total of 80 sample sites were selected according to the Local Climate Zone (LCZ) framework. The measured climatic data and urban morphology data were synergized and analyzed at LCZ scale through Geographical Information System (GIS). Stepwise Multiple Linear Regression (MLR) and Partial Least Square Regression (PLSR) were applied to quantify the connections between urban form and local UHI conditions of LCZ. Mean sky view factor, total street length, and pervious surface fraction of LCZ sites have been found to be the most explanatory variables of local UHI intensity, and over 50% of UHI variations can be explained by both statistical models of stepwise MLR and PLSR. An UHI evaluation map of urban areas in Hong Kong has been developed based on the statistical models, through which UHI hotspots have been identified. LCZ-based UHI mitigation strategies were further developed for climatic planning of Outline Zoning Plan areas. The results indicate that urban forms have significant influences on UHI development at local scale, and an optimal design of urban morphology is necessary for UHI mitigation and climate adaptation. |
| first_indexed | 2024-10-01T07:07:43Z |
| format | Journal Article |
| id | ntu-10356/172468 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:07:43Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1724682023-12-11T06:39:56Z Mapping the spatial distribution of nocturnal urban heat island based on Local Climate Zone framework Zheng, Yingsheng Ren, Chao Shi, Yuan Yim, Steve Hung Lam Lai, Derrick Y. F. Xu, Yong Fang, Can Li, Wenjie Asian School of the Environment Lee Kong Chian School of Medicine (LKCMedicine) Earth Observatory of Singapore Social sciences::Geography::Environmental sciences Urban Heat Island Local Climate Zone A spatial understanding of street-scale urban heat island (UHI) is essential but challenging in Hong Kong, due to its highly heterogeneous urban environment and a limited weather station monitoring network. Night-time mobile measurements were conducted during the summertime of 2014 to monitor UHI variation at local level. Three measurement routes and a total of 80 sample sites were selected according to the Local Climate Zone (LCZ) framework. The measured climatic data and urban morphology data were synergized and analyzed at LCZ scale through Geographical Information System (GIS). Stepwise Multiple Linear Regression (MLR) and Partial Least Square Regression (PLSR) were applied to quantify the connections between urban form and local UHI conditions of LCZ. Mean sky view factor, total street length, and pervious surface fraction of LCZ sites have been found to be the most explanatory variables of local UHI intensity, and over 50% of UHI variations can be explained by both statistical models of stepwise MLR and PLSR. An UHI evaluation map of urban areas in Hong Kong has been developed based on the statistical models, through which UHI hotspots have been identified. LCZ-based UHI mitigation strategies were further developed for climatic planning of Outline Zoning Plan areas. The results indicate that urban forms have significant influences on UHI development at local scale, and an optimal design of urban morphology is necessary for UHI mitigation and climate adaptation. This study is supported by Guangdong Philosophy and Social Science Foundation (Grant No. GD22CGL38), Grant from National Natural Science Foundation of China (Grant No. 42071394), Guangzhou Science and Technology Programme (Grant No. 202201020541), Guangzhou Philosophy and Social Science Planning 2022 Annual Project (Grant No. 2022GZQN19), Guangdong Basic and Applied Basic Research Foundation (Grant No. 2022A1515010171), and the Science and Technology Program of Guangzhou University (Grant No. PT252022006). 2023-12-11T06:39:56Z 2023-12-11T06:39:56Z 2023 Journal Article Zheng, Y., Ren, C., Shi, Y., Yim, S. H. L., Lai, D. Y. F., Xu, Y., Fang, C. & Li, W. (2023). Mapping the spatial distribution of nocturnal urban heat island based on Local Climate Zone framework. Building and Environment, 234, 110197-. https://dx.doi.org/10.1016/j.buildenv.2023.110197 0360-1323 https://hdl.handle.net/10356/172468 10.1016/j.buildenv.2023.110197 2-s2.0-85149903221 234 110197 en Building and Environment © 2023 Elsevier Ltd. All rights reserved. |
| spellingShingle | Social sciences::Geography::Environmental sciences Urban Heat Island Local Climate Zone Zheng, Yingsheng Ren, Chao Shi, Yuan Yim, Steve Hung Lam Lai, Derrick Y. F. Xu, Yong Fang, Can Li, Wenjie Mapping the spatial distribution of nocturnal urban heat island based on Local Climate Zone framework |
| title | Mapping the spatial distribution of nocturnal urban heat island based on Local Climate Zone framework |
| title_full | Mapping the spatial distribution of nocturnal urban heat island based on Local Climate Zone framework |
| title_fullStr | Mapping the spatial distribution of nocturnal urban heat island based on Local Climate Zone framework |
| title_full_unstemmed | Mapping the spatial distribution of nocturnal urban heat island based on Local Climate Zone framework |
| title_short | Mapping the spatial distribution of nocturnal urban heat island based on Local Climate Zone framework |
| title_sort | mapping the spatial distribution of nocturnal urban heat island based on local climate zone framework |
| topic | Social sciences::Geography::Environmental sciences Urban Heat Island Local Climate Zone |
| url | https://hdl.handle.net/10356/172468 |
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