中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
How do 2D/3D urban landscapes impact diurnal land surface temperature: Insights from block scale and machine learning algorithms

文献类型:期刊论文

作者Han, Dongrui1; An, Hongmin2; Cai, Hongyan3; Wang, Fei1; Xu, Xinliang3; Qiao, Zhi4,7; Jia, Kun5; Sun, Zongyao6; An, Ying6
刊名SUSTAINABLE CITIES AND SOCIETY
出版日期2023-12-01
卷号99页码:17
关键词Urban landscapes Diurnal land surface temperature Block scale Machine learning algorithms Urban heat island
ISSN号2210-6707
DOI10.1016/j.scs.2023.104933
通讯作者Qiao, Zhi(qiaozhi@tju.edu.cn)
英文摘要Urban landscapes significantly affect land surface temperature (LST) and are considered crucial factors affecting urban heat island (UHI). The impacts of urban landscapes on LST have been extensively explored, mainly focusing on grid scale and the daytime. However, how 2D/3D urban landscapes affect diurnal LST at the block scale is unclear. Therefore, taking 1, 536 blocks (including low-rise blocks (LRB), middle-rise blocks (MRB), and high-rise blocks (HRB)) in Beijing as samples, the performances of boosted regression tree (BRT) and random forest (RF) were first evaluated, and the impacts of 2D/3D urban landscapes on diurnal LST across different block types were explored. The results showed that the mean LST was the highest in MRB (daytime) and HRB (nighttime). BRT performed better than RF in investigating diurnal impacts at the block scale. Vegetation and buildings are the domain factors influencing daytime and nighttime LST in LRB and MRB, while buildings are the domain factor in HRB except at 03:09 (impervious surface). The relationships between the key 2D/3D urban landscape metrics and block diurnal LST are nonlinear. The findings can serve as f basis for UHI mitigation and urban renewal strategies by urban planners to develop thermal comfort.
WOS关键词HEAT-ISLAND ; PATTERN ; URBANIZATION ; MEGACITIES ; ASTER
资助项目Shandong Provincial Natural Science Foundation[ZR2022QD081] ; Shandong Provincial Natural Science Foundation[ZR2022QD034] ; Shandong Provincial Natural Science Foundation[ZR2021QD143] ; National Natural Science Foundation of China[41971389] ; National Natural Science Foundation of China[52270187] ; Agricultural Science and Technology Innovation Project of Shandong Academy of Agricultural Sciences[CXGC2023F07]
WOS研究方向Construction & Building Technology ; Science & Technology - Other Topics ; Energy & Fuels
语种英语
WOS记录号WOS:001079088300001
出版者ELSEVIER
资助机构Shandong Provincial Natural Science Foundation ; National Natural Science Foundation of China ; Agricultural Science and Technology Innovation Project of Shandong Academy of Agricultural Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/198725]  
专题中国科学院地理科学与资源研究所
通讯作者Qiao, Zhi
作者单位1.Shandong Acad Agr Sci, Inst Agr Informat & Econ, Jinan 250100, Peoples R China
2.Shandong Univ, Sch Management, Jinan 250100, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
4.Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300350, Peoples R China
5.Shandong Jianzhu Univ, Sch Management Engn, Jinan 250101, Peoples R China
6.Tianjin Univ, Sch Architecture, Tianjin 300272, Peoples R China
7.92 Weijin Rd, Tianjin 300072, Peoples R China
推荐引用方式
GB/T 7714
Han, Dongrui,An, Hongmin,Cai, Hongyan,et al. How do 2D/3D urban landscapes impact diurnal land surface temperature: Insights from block scale and machine learning algorithms[J]. SUSTAINABLE CITIES AND SOCIETY,2023,99:17.
APA Han, Dongrui.,An, Hongmin.,Cai, Hongyan.,Wang, Fei.,Xu, Xinliang.,...&An, Ying.(2023).How do 2D/3D urban landscapes impact diurnal land surface temperature: Insights from block scale and machine learning algorithms.SUSTAINABLE CITIES AND SOCIETY,99,17.
MLA Han, Dongrui,et al."How do 2D/3D urban landscapes impact diurnal land surface temperature: Insights from block scale and machine learning algorithms".SUSTAINABLE CITIES AND SOCIETY 99(2023):17.

入库方式: OAI收割

来源:地理科学与资源研究所

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