城市地表热环境季节变化及与下垫面特征关系

摘要

In order to reveal the mechanisms of spatial and temporal heterogeneity of urban surface thermal environment , the land surface characteristic parameters in different seasons in western Shenzhen including land surface temperature ( LST ) , normalized difference vegetation index ( NDVI ) , normalized difference impervious surface index ( NDISI ) , and normalized difference moisture index ( NDMI ) were obtained using remote sensing technology. The seasonal variations of land surface thermal environment and its quantitative relationship to biophysical parameters were also analyzed The results showed that significant seasonal variations were observed for the spatial pattern and intensity of thermal environment landscape in the study area. The positive exponential correlation was observed between NDISI and LST, while negative linear correlation between NDMI and LST. These two relations were stable with the seasonal variations. In contrast, the non⁃linear correlation was observed between NDVI and LST, which varies with the seasonal variations. The multiple linear stepwise regression analysis indicated that the regulating effect on LST decreased in the order:impervious surface area>surface wetness>vegetation cover.%为进一步揭示城市地表热环境的时空分异机制，利用遥感信息技术提取深圳市西部地区不同季节的地表温度、植被覆盖、不透水面、水分状况等下垫面特征参数，在此基础上分析地表热环境的季节变化特征及与下垫面生物物理参数的定量关系。结果表明：研究区地表热力景观的空间分布、强度随季节发生显著变化；不透水面指数、湿度指数与地表温度分别呈指数正相关、线性负相关且在不同季节表现稳定，而植被指数与地表温度呈非线性关系并随季节变化；多元线性逐步回归分析表明，不透水面对地表温度的调节作用最大、地表湿度次之、植被覆盖最小。