摘要
为了从城镇化进程角度研究自1985年以来北京市城市热岛效应的时空变化特点,利用7期夏季的Landsat TM/ETM+/TIRS遥感影像数据反演地表亮度温度以代替地表温度(land surface temperature,LST);然后将其用于城市热岛效应的一系列定性和定量分析,揭示出北京市热分布以及城市热岛效应特征。研究结果表明:(1)高温区域和亚高温区域不断地由郊区向城区集中,但东西城区(东城区和西城区)的高温区域表现出明显的下降趋势,大范围热岛被零星分布的小热岛取代;(2)工业园区对北京市热岛效应的影响远高于住宅区对北京市热岛效应的影响;(3)建筑物低矮密集且低植被覆盖区域的温度远远高于建筑物高大稀疏且高植被覆盖区域的温度。研究可为政府部门通过合理规划水体、绿地、工业园区、住宅区等的分布来减轻城市热岛效应的影响提供参考依据。
In order to study the temporal-spatial variation of the urban heat island effect over Beijing since 1985,the authors utilized the 7 phases of Landsat TM/ETM+/TIRS images in summer to perform retrieval of the land surface brightness temperature so as to replace the true land surface temperature(LST).And the LST data were used for a series of qualitative and quantitative analysis of urban heat island effect to reveal Beijing heat distribution and the characteristics of urban heat island effect.Some conclusions have been reached:①The high-temperature regions and sub-high temperature regions are continuously centralized to the urban area,but the high-temperature regions in Dongcheng District and Xicheng District show a significant downward trend,and the large scale of heat island is replaced by the small heat islands;②The influence of industrial estate on the urban heat island effect in Beijing is much higher than that of the residential district in Beijing;③The temperature of the areas with low-rise and dense buildings and low vegetation coverage are much higher than the temperature of the areas with tall and sparse buildings and high vegetation coverage.The results of the study would play an important role in urban planning in that they provide the reference frame for the government departments to reduce the impact of urban heat island effect based on rational planning of the distribution of water,green land,industrial estate and residential areas.
作者
杨敏
杨贵军
王艳杰
张勇峰
张智宏
孙晨红
YANG Min;YANG Guijun;WANG Yanjie;ZHANG Yongfeng;ZHANG Zhihong;SUN Chenhong(Shaanxi Earthquake Agency,Xi’an 710068,China;National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China;Key Laboratory of Agri-informatics,Ministry of Agriculture,Beijing 100097,China;Beijing Engineering Research Center of Agricultural Internet of Things,Beijing 100097,China;Xi’an Zhongtianweidi Surveying&Mapping Technology Co.,Ltd.,Xi’an 710054,China;College of Geomatics,Xi’an University of Science and Technology,Xi’an 710054,China;Xi’an Aerospace Tian Painted Data Technology Co.,Ltd.,Xi’an 710054,China)
出处
《国土资源遥感》
CSCD
北大核心
2018年第3期213-223,共11页
Remote Sensing for Land & Resources
基金
国家自然科学基金项目"基于同化策略的地表温度多模式降尺度方法及其不确定性研究"(编号:41271345)资助
关键词
地表亮度温度(地表亮温)
地表温度(LST)
城市热岛
空间分布
时空变化
北京
land surface brightness temperature
land surface temperature(LST)
urban heat island
spatial distribution
temporal and spatial variation
Beijing
