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Understanding seasonal contributions of urban morphology to thermal environment based on boosted regression tree approach

文献类型：期刊论文

作者Han, Dongrui2; An, Hongmin1; Wang, Fei2; Xu, Xinliang3; Qiao, Zhi4; Wang, Meng2; Sui, Xueyan2; Liang, Shouzhen2; Hou, Xuehui2; Cai, Hongyan3,6
刊名BUILDING AND ENVIRONMENT
出版日期2022-12-01
卷号226页码:13
ISSN号0360-1323
关键词Urban morphology Building Thermal environment Land surface temperature Boosted regression tree
DOI10.1016/j.buildenv.2022.109770
通讯作者Cai, Hongyan(caihy@igsnrr.ac.cn)
英文摘要Urban morphology significantly affects the urban thermal environment. Seasonal impacts of two-dimensional (2D) and three-dimensional (3D) urban morphology on land surface temperature (LST) remain uncertain, and the impacts exist scale effects. Thus, taking Beijing as the study area, boosted regression tree (BRT) model was used to investigate the seasonal contributions of urban morphology to the thermal environment. Building density (BD), building height (BH), floor area ratio (FAR), sky view factor (SVF), and frontal area index (FAI), were used to comprehensively characterize urban morphology, and 13 scales ranging from 30 m to 600 m were used to investigate scale effects. The results showed that there are obvious spatial differences in LST and urban morphology indicators in the study area. 270 m was determined as the optimal scale for modeling in the study area. BH and BD are the domain indicators, which together contribute more than 75% of the variance of LST among four seasons, while the relative influences of SVF, FAR, and FAI are relatively low. Relationships between urban morphology indicators and LST are nonlinear among four seasons. The findings provide a scientific un-derstanding for urban planners on mitigating the UHI effects through optimizing buildings.
WOS关键词LAND-SURFACE TEMPERATURE ; LOCAL CLIMATE ZONES ; REMOTE-SENSING DATA ; HEAT-ISLAND ; AIR-TEMPERATURE ; ENERGY-BALANCE ; SPATIOTEMPORAL ANALYSIS ; CONFIGURATIONS ; MICROCLIMATE ; INDICATORS
资助项目National Natural Science Foundation of China[41971389] ; National Natural Science Foundation of China[52270187] ; National Key Research and Development Program of China[2021YFB3901303] ; Agricultural Science and Technology Innovation Project of Shandong Academy of Agricultural Sciences[CXGC2022E07] ; Shandong Natural Science Foundation[ZR2020MD019] ; Shandong Natural Science Foundation[ZR2021MD055]
WOS研究方向Construction & Building Technology ; Engineering
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:000892642600001
资助机构National Natural Science Foundation of China ; National Key Research and Development Program of China ; Agricultural Science and Technology Innovation Project of Shandong Academy of Agricultural Sciences ; Shandong Natural Science Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/187921]  
专题中国科学院地理科学与资源研究所
通讯作者Cai, Hongyan
作者单位1.Shandong Univ, Sch Management, Jinan 250100, Peoples R China
2.Shandong Acad Agr Sci, Inst Agr Informat & Econ, 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.Linyi Bur Nat Resources & Planning, Urban & Rural Planning Res Ctr, Linyi 276000, Peoples R China
6.11A,Datun Rd, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Han, Dongrui,An, Hongmin,Wang, Fei,et al. Understanding seasonal contributions of urban morphology to thermal environment based on boosted regression tree approach[J]. BUILDING AND ENVIRONMENT,2022,226:13.
APA Han, Dongrui.,An, Hongmin.,Wang, Fei.,Xu, Xinliang.,Qiao, Zhi.,...&Liu, Yihui.(2022).Understanding seasonal contributions of urban morphology to thermal environment based on boosted regression tree approach.BUILDING AND ENVIRONMENT,226,13.
MLA Han, Dongrui,et al."Understanding seasonal contributions of urban morphology to thermal environment based on boosted regression tree approach".BUILDING AND ENVIRONMENT 226(2022):13.

入库方式： OAI收割

来源：地理科学与资源研究所

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