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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
兖州煤田地表温度空间分异特征
  • Title

    Spatial variation of land surface temperature in Yanzhou coalfield

  • 作者

    李晶苗辉杨震韩颖

  • Author

    LI Jing,MIAO Hui,YANG Zhen,HAN Ying

  • 单位

    中国矿业大学(北京)地球科学与测绘工程学院

  • Organization
    College of Geoscience and Surveying Engineering,China University of Mining and Technology(Beijing),Beijing  100083,China
  • 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。

  • Abstract

    This paper investigates Yanzhou coalfield which locates in Eastern China with high groundwater level. Land- sat TM images are used to extract the land surface temperature using the single window algorithm. The spatial distribu- tion 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 tem- perature 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 cover- age;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

  • KeyWords

    land surface temperature;single window algorithm;Yanzhou coalfield;spatial differentiation;ecological im- pact boundary

  • 基金项目(Foundation)
    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);
  • DOI
  • Citation
    LI Jing,MIAO Hui,YANG Zhen,et al. Spatial variation of land surface temperature in Yanzhou coalfield[ J]. Journal of China Coal Society,2018,43(9):2595-2604.
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