Residential College | false |
Status | 已發表Published |
How to optimize urban blue space to maximize its cooling benefits? A case study in megacity of Beijing | |
Zhang, Linlin1,2; Meng, Qingyan1,3,4![]() | |
2025-02-15 | |
Source Publication | Building and Environment
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ISSN | 0360-1323 |
Volume | 270Pages:112502 |
Abstract | Global warming and intensive human activities have exacerbated the phenomenon of urban heat island (UHI). While studies on UHI mitigation strategies mainly focus on urban green space, ignoring urban blue space has prominent cooling effect with specific heat capacity and water evaporation. As a megacity in China, Beijing has frequent extreme heat events, how to optimize urban blue space to maximize its cooling benefits remains unclear. Taking Beijing as the case area, this study quantified the waterbody cooling benefits by indicators of cooling intensity, extent, efficiency and threshold value of efficiency (TVoE), identified the contribution of driving factors to cooling intensity in summer from four categories of blue, green, grey, and socio-economic. The results observed that the cooling effect of urban blue space has the characteristics of spatio-temporal heterogeneity, the mean waterbody cooling intensity (WCI) was 4.94 °C in summer and 1.29 °C in winter. The most prominent WCI driving factor was total building height in summer. For combined relationships affecting WCI, urban grey and socio-economic factors were proved as the most positively driving factors. The TVoE values of waterbody patch sizes were 1.01 ha, 0.60ha and 0.47ha in three different urbanization levels as high, medium and low. The results indicate preferable cooling benefits can be obtained through the planning and optimization of blue space, especially in dense built-up areas. |
Keyword | Urban Heat Island Urban Blue Space Cooling Effect Driving Factor Urbanization Level |
DOI | 10.1016/j.buildenv.2024.112502 |
URL | View the original |
Language | 英語English |
Scopus ID | 2-s2.0-85213539119 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Meng, Qingyan |
Affiliation | 1.Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China 2.Key Laboratory of Emergency Satellite Engineering and Application, Ministry of Emergency Management, 100124, China 3.University of Chinese Academy of Sciences, Beijing, 100049, China 4.Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Sanya, 572029, China 5.DFH Satellite Co., Ltd, Beijing, 100094, China 6.State Key Laboratory of Internet of Things for Smart City and Department of Ocean Science and Technology, University of Macau, 999078, Macao |
Recommended Citation GB/T 7714 | Zhang, Linlin,Meng, Qingyan,Yao, Shun,et al. How to optimize urban blue space to maximize its cooling benefits? A case study in megacity of Beijing[J]. Building and Environment, 2025, 270, 112502. |
APA | Zhang, Linlin., Meng, Qingyan., Yao, Shun., Qian, Jiangkang., Gao, Jianfeng., & Wu, Jiahao (2025). How to optimize urban blue space to maximize its cooling benefits? A case study in megacity of Beijing. Building and Environment, 270, 112502. |
MLA | Zhang, Linlin,et al."How to optimize urban blue space to maximize its cooling benefits? A case study in megacity of Beijing".Building and Environment 270(2025):112502. |
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