Influence of 2-D/3-D Urban Morphology on Diurnal Land Surface Temperature From the Perspective of Functional Zones

被引:1
|
作者
Zhang, Qianmin [1 ]
Yang, Jun [1 ,2 ]
Ma, Xinyue [1 ]
Xin, Jiaxing [3 ]
Ren, Jiayi [3 ]
Yu, Wenbo [3 ]
Xiao, Xiangming [4 ]
Xia, Jianhong [5 ]
机构
[1] Northeastern Univ, Jangho Architecture Coll, Urban Climate & Human Settlements Res Lab, Shenyang 110169, Peoples R China
[2] Liaoning Normal Univ, Human Settlements Res Ctr, Dalian 116029, Peoples R China
[3] Northeastern Univ, Sch Humanities & Law, Shenyang 110169, Peoples R China
[4] Univ Oklahoma, Sch Biol Sci, Norman, OK 73019 USA
[5] Curtin Univ, Sch Earth & Planetary Sci, Perth, WA 6845, Australia
关键词
Boosted regression tree; diurnal surface temperature; urban functional zones (UFZs); urban morphology; HEAT-ISLAND; LANDSCAPE STRUCTURE;
D O I
10.1109/JSTARS.2024.3455791
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Optimizing the spatial distribution of urban functional zones (UFZs) effectively improves the thermal environment. This study utilized an enhanced regression tree model and relied on Ecosystem Spaceborne Thermal Radiometer Experiment data to analyze the relative contributions and marginal effects of 2-D/3-D urban morphological factors on the diurnal land surface temperature (LST) in Shenyang, China. The results showed that public and residential areas dominated Shenyang's UFZs. The temperature in industrial areas was the highest during the day, and residential and commercial functional areas are high-temperature concentration areas. Furthermore, the effects of the urban spatial morphology on the LST differed between diverse time points and UFZs. The digital elevation model and the normalized difference vegetation index contributed significantly to daytime and nighttime LSTs. Construction indicators, such as the normalized difference built-up index and the proportion of construction land, significantly impacted commercial services. Residential daytime LST had a large contribution value, and the sum of its contribution rates reached approximately 30%. Population greatly contributed to the nighttime LST of the industrial and residential zones, accounting for 16.77% and 22.06%, respectively. Vegetation contributed to the cooling effect on daytime LST in summer, especially in industrial areas, contributing 29.79%. In addition, 3-D indicators, such as building height and building density, contributed to diurnal LST. Finally, when the proportion of construction land reached approximately 45%, it negatively affected LST. In this study, the main factors affecting day and night LSTs were identified, and this work acts as a relevant strategic reference for alleviating the urban heat island effect.
引用
收藏
页码:17036 / 17051
页数:16
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