Impacts of land-cover types on an urban heat island in Hangzhou, China

被引:38
作者
Sheng, Li [1 ]
Lu, Dengsheng [2 ,3 ]
Huang, Jingfeng [4 ]
机构
[1] Zhejiang Acad Agr Sci, Inst Digital Agr, Hangzhou 310021, Zhejiang, Peoples R China
[2] Zhejiang Agr & Forest Univ, Sch Environm & Resource Sci, Zhejiang Prov Key Lab Carbon Cycling Forest Ecosy, Linan 311300, Zhejiang, Peoples R China
[3] Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48864 USA
[4] Zhejiang Univ, Coll Environm & Resources Sci, Inst Agr Remote Sensing & Informat Applicat, Hangzhou 310058, Zhejiang, Peoples R China
关键词
SPECTRAL MIXTURE ANALYSIS; IMPERVIOUS SURFACE-AREA; TEMPERATURE; IMAGERY; CLASSIFICATION; INDEXES; JAPAN; BASIN;
D O I
10.1080/01431161.2015.1019016
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
This research examined the impact of urban land-cover types on the urban heat island (UHI) in Hangzhou, China. Air temperatures (T-air) measured at a height of 1.5 m at times 00: 00, 10: 00, 14: 00, and 18: 00 were used for atmospheric urban heat island (AUHI) analysis. Data from the Environmental and Disaster Monitoring and Forecasting Satellite B (HJ-1B) were utilized to retrieve land surface temperature (LST) for surface urban heat island (SUHI) analysis and to map land-cover distribution. Pearson correlation and partial correlation analyses were performed to investigate the impacts of land-cover types on T-air, LST, and the relationship between T-air and LST. The results show that (1) LST and night-time T-air are sensitive to the amount of impervious surface and vegetation and (2) land-cover types did not significantly influence the correlation between LST and T-air at 10:00, but the amount of impervious surface and vegetation had significant impact at 0:00. This research indicates that the percentage of impervious surface is a good indicator for LST and night-time T-air, and for relating night-time AUHI to satellite-based observations of SUHI. This research also proposed a new method that considers both temperature patterns and land-cover types to explain the spatial variations in AUHI and a new indicator-cooling-distance rate - to help people to select a suitable living place when both work-home distance and work-home temperature difference are factors that they wish to consider.
引用
收藏
页码:1584 / 1603
页数:20
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