结合Landsat 8遥感影像的长大深埋隧道地表地热空间分布特征分析——以高黎贡山隧道为例

Analysis on Land Surface Geothermal Spatial Distribution Characteristics of Long and Deep Tunnels Based on Landsat 8 Remote Sensing Images:A Case Study of Gaoligongshan Tunnel

为快速获取长大深埋隧道地表温度空间分布特征,文章选取高黎贡山地区为研究区域,根据研究区的Landsat 8遥感影像,采用辐射传导方程法进行地表温度反演,并与单通道算法结果进行对比。研究表明:(1)采用遥感方法能快速有效获取研究区域地表温度,其结果显示研究区地热空间分布与现有地质勘察揭示的断层分布、地表出露温泉分布一致,两种算法所得地温结果较为一致;(2)研究区域内,地热主要分布于怒江河谷、潞西-遮放盆地地区,山岭地区局部出现零星高温反应;怒江河谷地热沿怒江断裂带呈南北带状分布,主控于高黎贡山地区众多深大断裂;潞西-遮放盆地地热总体分布于盆地中间,呈南北向北东条状分布,主控于龙陵-瑞丽大断裂及盆地地形;(3)在复杂山岭地区采用遥感方法探察地热分布时,应考虑阴阳坡受太阳辐射程度不同的影响。

Taking Gaoligong Mountain Area as the study area,this paper is focused on quickly obtaining the spatial distribution characteristics of land surface temperature of long and deep tunnels.According to the Landsat 8 remote sensing images of the study area,the radiative transfer equation method is adopted to perform land surface temperature inversion,which is then compared with the results of single channel algorithm.The results show that:(1)the remote sensing method could be used to quickly and effectively obtain the land surface temperature in the study area,the geothermal spatial distribution conditions are consistent with the fault distribution and exposed hot spring distribution conditions revealed by the existing geological survey,and the ground temperature results obtained by two algorithms are relatively consistent;(2)in the study area,the geothermal resources are mainly distributed in Nujiang River Valley and Luxi-Zhefang Basin,and sporadic high-temperature reactions appear in some mountain areas.In Nujiang River Valley,the geothermal resources are distributed in a north-south belt along Nujiang Fault Zone,which is mainly governed by many deep and large faults in Gaoligong Mountain Area.In Luxi-Zhefang Basin,the geothermal resources are generally distributed in a strip from south-north to north-east in the middle of the basin and mainly governed by the Longling-Ruili Fault and the Basin topographies;(3)the different influences of solar radiation on sunny and shady slopes should be considered when the remote sensing method is used to explore geothermal distribution in complex mountain areas.