Quantifying the main and interactive effects of the dominant factors on the diurnal cycles of land surface temperature in typical urban functional zones

被引:9
|
作者
Chen, Jike [1 ,2 ,3 ]
Wang, Kaixin [1 ]
Du, Peijun [4 ]
Zang, Yufu [1 ,2 ,3 ]
Zhang, Peng [5 ]
Xia, Junshi [6 ]
Chen, Cheng [7 ]
Yu, Zhaowu [8 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China
[2] Minist Nat Resources, Technol Innovat Ctr Integrat Applicat Remote Sensi, Nanjing 210044, Peoples R China
[3] Jiangsu Engn Ctr Collaborat Nav Positioning & Smar, Nanjing 210044, Peoples R China
[4] Nanjing Univ, Sch Geog & Ocean Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Key Lab Land Satellite Remote Sensing Applicat,Min, Nanjing 210023, Jiangsu, Peoples R China
[5] Anhui Univ, Sch Artificial Intelligence, Hefei 230601, Peoples R China
[6] RIKEN, RIKEN Ctr Adv Intelligence Project, Tokyo 1030027, Japan
[7] Jiangsu Prov Surveying & Mapping Engn Inst, Nanjing 210019, Peoples R China
[8] Fudan Univ, Dept Environm Sci & Engn, 2005 Songhu Rd, Shanghai 200438, Peoples R China
关键词
Land surface temperature; Urban functional zone; Diurnal difference; Interaction effect; Urban morphology; Socio-economics; SPACEBORNE THERMAL EMISSION; REFLECTION RADIOMETER ASTER; LOCAL CLIMATE ZONE; SKY VIEW FACTOR; HEAT-ISLAND; CITY; COVER; DYNAMICS; IMPACT; CONFIGURATION;
D O I
10.1016/j.scs.2024.105727
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The urban heat island (UHI) effect exists both during daytime and nighttime and varies with urban characteristics, such as 2D/3D urban morphology and socio-economics. However, there is a lack of quantitative understanding of the roles of these characteristics in influencing land surface temperature (LST) variations in different urban functional zones (UFZs) throughout the diurnal cycle. In this study, we examined the responses of diurnal LSTs in different UFZs to 2D/3D urban morphology and socio-economic variables. Results showed the following: (1) During daytime, the main drivers of LST varied with not only the UFZs but also the observation times; during nighttime, the LST variations across different UFZs were largely controlled by 3D urban morphology and socio-economic factors. (2) At 10:37, LST declined most rapidly when the percentage of tree cover (PER_Tree) exceeded a certain threshold. The threshold values of PER_Tree were 85%, 70%, 50%, and 60% for the residential, industrial, commercial, and public service zones, respectively. Irrespective of the UFZs, a nighttime cooling effect occurred only when sky view factor (SVF) exceeded 0.8. (3) For locations with high population density (Pop_Den) in the residential zone, whether urban trees induced a cooling effect depended on both the observation time and PER_Tree during daytime; however, a higher SVF tended to result in an increased LST during nighttime. In the public service zone, when Pop_Den exceeded 50, urban trees with high height contributed to nighttime LST cooling, whereas a warming effect occurred with trees with low height. The direct implications of this study suggest that 3D urban morphology and socio-economics are more efficient mitigation strategies for all UFZs at night, and the interactive effects between the dominant drivers of diurnal LSTs should be considered to cool the city most effectively.
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页数:22
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