摘要:
从不同空间尺度研究城市热环境的变化格局,可为城市人居环境建设提供科学参考.采用MODIS和Land-sat TM/OLI/TIRS遥感影像反演地表温度(land surface temperature,LST),分别从宏观和微观尺度探索了兰西城市群热场的空间格局特征,分析了城市热岛效应在昼夜、季节和年份等不同时间尺度上的分布格局及变化特征.研究结果表明,大尺度下兰西城市群未存在明显的城市热岛效应,但中心城区内热岛效应的空间格局发生了较大变化,热场的空间格局及演变与城市空间扩展布局相一致;兰州中心城区热岛比例指数呈现先增加后减小的变化趋势,西宁-海东中心城区热岛比例指数则呈现持续增长的态势;河谷地段的LST低于周围黄土丘陵,主要受植被覆盖、太阳辐射时间和接收量的影响;LST与归一化差值植被指数(normalized difference vegetation index,NDVI)呈负相关关系,与归一化差值建筑用地指数(normalized difference building index,NDBI)呈正相关关系.
Abstract:
The study of the changing pattern of urban thermal environment from different spatial scales can provide a scientific reference for the construction of urban human settlements. On the basis of MODIS and Landsat TM/OLI/TIRS data, land surface temperature is retrieval. Spatial pattern of thermal field in Lanzhou - Xining agglomeration (LXA) was analyzed from macro scale and micro scale. Diurnal variation, seasonal variation, and annual variation of urban heat island effect of LXA were explored. The heat island ratio index was introduced to describe the variation characteristics of thermal field pattern in LXA from 1992 to 2015. The results show that,on the large scale,there is no obvious urban heat island effect in LXA,whereas the spatial pattern of urban heat island effect in internal areas of central urban region of Lanzhou and Xining-Haidong changed greatly from 1992 to 2015. The urban sprawl had a spatial consistency with the urban heat island extension. Specifically,the heat island ratio index first increased and then decreased in central urban area of Lanzhou, whereas the heat island ratio index continuously increased significantly in central urban area of Xining-Haidong. As a typical valley agglomeration, the temperature of central cities was lower than that of surrounding loess hilly regions. The main influence factors were vegetation and the duration and amount of solar radiation. It seems that the land surface temperature is negatively correlated with normalized difference vegetation index(NDVI) and positively correlated with normalized difference building index(NDBI).
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