Impacts of land-cover types on an urban heat island in Hangzhou, China
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
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.
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Document Type: Research Article
Institute of Digital Agriculture, Zhejiang Academy of Agriculture Sciences, Hangzhou, Zhejiang, 310021, China
Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, School of Environmental and Resource Sciences, Zhejiang Agriculture and Forest University, Lin’an, Zhejiang, 311300, China
Institute of Agricultural Remote Sensing and Information Application, College of Environment and Resources Science, Zhejiang University, Hangzhou, Zhejiang, 310058, China
Publication date: March 19, 2015
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