兖州煤田地表温度空间分异特征  

Spatial variation of land surface temperature in Yanzhou coalfield

作　　者：李晶[1] 苗辉 杨震[1] 韩颖 LI Jing;MIAO Hui;YANG Zhen;HAN Ying(College of Geoscience and Surveying Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China)

机构地区：[1]中国矿业大学(北京)地球科学与测绘工程学院,北京100083

出　　处：《煤炭学报》2018年第9期2595-2604,共10页Journal of China Coal Society

基　　金：国家自然科学基金资助项目(41501564);国家重点研发计划资助项目(2016YFC0501101-4)

摘　　要：以东部高潜水位区域——兖州煤田为研究区,以Landsat TM数据为数据源,利用单窗算法反演兖州煤田地表温度,分别从土地利用类型、植被覆盖度、距沉陷积水区边缘距离、地表下沉值等4个方面分析研究区地表温度的空间分异特征。结果表明:不同土地利用类型间地表温度差异较大,其中建设用地平均温度最高,水体平均温度最低;地表温度与植被覆盖度呈负相关;在沉陷积水区以外,地表温度随距积水区边缘距离的增加先降低,而后趋于稳定,两者呈指数相关;地表温度自积水区边缘向外随地表下沉值的减小而逐渐降低。This paper investigates Yanzhou coalfield which locates in Eastern China with high groundwater level.Landsat TM images are used to extract the land surface temperature using the single window algorithm.The spatial distribution of land surface temperature is analyzed from four aspects including land use type,vegetation coverage,the distance from the edge of water-impounded subsided-area and the subsidence depth.The results show that the land surface temperature varies greatly among different land use types;the developed land and the water area have the highest and the lowest average surface temperature respectively;land surface temperature is negatively correlated with vegetation coverage;land surface temperature decreases with the increase of the distance from the edge of water-impounded subsided-area and then becomes stable by exponential function fitting analysis;the land surface temperature gradually decreases with the decrease of mining subsidence depth outside the impounded water area.

关 键 词：地表温度 单窗算法 兖州煤田 空间分异 生态影响边界 

分 类 号：TD88[矿业工程—矿山开采]