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
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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 |
DOI | 10.1016/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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