Evaluation of the Thermal Environment Based on the Urban Neighborhood Heat/Cool Island Effect

被引:2
|
作者
Qi, Li [1 ,2 ]
Hu, Yuanman [1 ,3 ]
Bu, Rencang [1 ,3 ]
Li, Binglun [1 ]
Gao, Yue [1 ,2 ]
Li, Chunlin [1 ,3 ]
机构
[1] Chinese Acad Sci, Inst Appl Ecol, CAS Key Lab Forest Ecol & Silviculture, Shenyang 110016, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[3] Eerguna Wetland Ecosyst Natl Res Stn, Hulunbuir 022250, Peoples R China
基金
中国国家自然科学基金;
关键词
land surface temperature; urban neighborhood heat/cool island; urban functional zones; boosted regression trees; SKY-VIEW FACTOR; HEAT-ISLAND; CLIMATE-CHANGE; GREEN AREAS; LAND-COVER; STREET-CANYONS; LOCAL CLIMATE; WATER BODIES; TEMPERATURE; VEGETATION;
D O I
10.3390/land13070933
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Under rapid urbanization, the urban heat island (UHI) effect is increasing, which poses a serious threat to human settlements. Changes in neighborhood land surface temperature (LST) reflect the UHI effect at a finer scale, with implications for the thermal comfort of residents. Landsat images were used to analyze the distribution of the urban neighborhood heat/cool island (UNHI/UNCI) within the fourth ring area of Shenyang City. Three-dimensional buildings and the urban functional zones (UFZs) were combined to explore the relationships with the UNHI and UNCI. Using boosted regression trees to analyze the relative importance of UFZs in the UNHI and UNCI, the results showed a significant lowering effect on the neighborhood LST with increased building height, which may be due to the fact of more architectural shadows generated by higher buildings. As the size of the green space patches increased, the cooling amplitude and the influence distance had an increasing trend. Industrial and public service zones had the most significant effect on the UNHI, with influences of 30.46% and 19.35%, respectively. In comparison, green space zones and water contributed the most to the UNCI effect, with influences of 18.75% and 11.95%, respectively. These results will provide urban decision-makers with crucial information on mitigating UHI problems through urban planning.
引用
收藏
页数:19
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