Modeling the impact of 2D/3D urban indicators on the urban heat island over different seasons: A boosted regression tree approach

doi:10.1016/j.jenvman.2020.110424

	Modeling the impact of 2D/3D urban indicators on the urban heat island over different seasons: A boosted regression tree approach
	Hu, Yunfeng 1,4; Dai, Zhaoxin 1,2; Guldmann, Jean-Michel 3
刊名	JOURNAL OF ENVIRONMENTAL MANAGEMENT
	2020-07-15
卷号	266 页码:13
关键词	Urban heat island Multi-dimensional urban factors Land surface temperatures Different seasons Boosted regression trees
ISSN号	0301-4797
DOI	10.1016/j.jenvman.2020.110424
通讯作者	Dai, Zhaoxin(daizx@lreis.ac.cn)
英文摘要	Understanding how complex urban factors affect the Urban Heat Island (UHI) is crucial for assessing the impacts of urban planning and environmental management on the thermal environment. This paper investigates the relationships between two-dimensional (2D) and three-dimensional (3D) factors and land surface temperatures (LST) within the Olympic Area of Beijing in different seasons, using the boosted regression tree (BRT) model. The BRT model captures the specific contributions of each urban factor to LST in each season and across a continuum of magnitudes for this factor. The results show that these relationships are complex and highly nonlinear. The four most common dominant factors are the Normalized Difference Built-up Index (NDBI), the Normalized Difference Vegetation Index (NDVI), a gravity index for parks (GPI), and average building height (BH). The most important factor in spring is NDBI, with a 45.5% contribution rate. In the other seasons, NDVI is the dominant factor, with contributions of 40% in summer, 21% in autumn, and 19% in winter. NDVI has an overall negative impact on LST in spring and summer, with a quadratic nonlinear decreasing curve, but a positive one in autumn and winter. The 2D land-use variables are most strongly related to LST in summer and spring, but 3D building-related variables have stronger impacts in colder weather. The Sky View Factor (SVF), a 3D measure of urban morphology, has also strong impacts in summer and winter. Both a building-based and a DSM-based SVFs are computed. The latter accounts for buildings, bridges, and trees. In contrast to a building-based SVF, the DSM-based SVF reduces LST when it varies between 0 and 0.75, reflecting the effects of high-density tree canopies that increase shades and evapotranspiration while blocking sky view. The marginal effect curves produced by the BRT are often characterized by thresholds. For instance, the maximal NDVI effect in summer takes place when NDVI = 0.7, suggesting that a very intense green coverage is not necessary to achieve maximal thermal results. Implications for urban planning and environmental management are outlined, including the increased use of evergreen trees that provide thermal benefits in both summer and winter.
资助项目	Strategic Priority Research Program of Chinese Academy of Sciences[XDA23100200] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010202] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA19040301] ; National Key Research and Development Plan Program in China[2016YFB0501502] ; National Key Research and Development Plan Program in China[2016YFC0503701]
WOS关键词	LAND-SURFACE TEMPERATURE ; METEOROLOGICAL CONDITIONS ; TEMPORAL TRENDS ; AIR-TEMPERATURE ; DENSITY ; URBANIZATION ; MORPHOLOGY ; VIEW ; AREA ; SIMULATION
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
WOS记录号	WOS:000531083400022
资助机构	Strategic Priority Research Program of Chinese Academy of Sciences ; National Key Research and Development Plan Program in China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/159678]
专题	中国科学院地理科学与资源研究所
通讯作者	Dai, Zhaoxin
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China 2.Chinese Acad Surveying & Mapping, 28 Lianhuachi West Rd, Beijing 100830, Peoples R China 3.Ohio State Univ, Dept City & Reg Planning, 275 West Woodruff Ave, Columbus, OH 43210 USA 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Hu, Yunfeng,Dai, Zhaoxin,Guldmann, Jean-Michel. Modeling the impact of 2D/3D urban indicators on the urban heat island over different seasons: A boosted regression tree approach[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2020,266:13.
APA	Hu, Yunfeng,Dai, Zhaoxin,&Guldmann, Jean-Michel.(2020).Modeling the impact of 2D/3D urban indicators on the urban heat island over different seasons: A boosted regression tree approach.JOURNAL OF ENVIRONMENTAL MANAGEMENT,266,13.
MLA	Hu, Yunfeng,et al."Modeling the impact of 2D/3D urban indicators on the urban heat island over different seasons: A boosted regression tree approach".JOURNAL OF ENVIRONMENTAL MANAGEMENT 266(2020):13.