重庆市市域热场分布与土地利用的关联分析

Correlation Analysis of Urban Thermal Field Distribution and Land Use in Chongqing

指出了随着城市扩张,人口不断密集,城市热环境发展引发人们的关注,热环境效应已经成为当前的研究热点。由于地表温度数据是由卫星传感器传输,所以在进行小尺度研究时低空间分辨率的数据难以达到研究的目的,因此降尺度手段成为研究必不可少的环节。利用空间降尺度算法拟合得到空间分辨率250m的重庆市主城区地表温度分布,并进行热场等级划分,在此基础上,结合重庆市主城区土地利用类型分布图进行了用地类型与地表温度分布的关系分析。结果表明:植被覆盖即地表含水量与地表温度呈负相关,水域的平均温度最低,用地类型草地与地表温度相关性最大,主城区较其他区县比明显热环境效应明显。

In recent years,with the expansion of cities and the increasing density of population,the development of urban thermal environment has attracted people’s attention.Thermal environment effect has become a research hotspot.Since the surface temperature data are transmitted by satellite sensors,it is difficult to achieve the research goal with low spatial resolution data when conducting small-scale studies.Therefore,scaling means become an indispensable part of the research.In this paper,the spatial scaling algorithm was used to fit the surface temperature distribution of Chongqing with a spatial resolution of 250 m,and the classification of thermal field was carried out.On this basis,the relationship between land use type and surface temperature distribution was analyzed in combination with the land use type distribution map of Chongqing,and the intensity of thermal field between the main urban areas and other districts and counties was also analyzed.The results show that vegetation cover,namely,surface moisture content,is negatively correlated with surface temperature,and the main urban areas are densely populated with obvious thermal environmental effects compared with other areas and counties.