基于热红外遥感的川藏铁路昌都——林芝段地热异常区定量预测评价研究  

Research on Quantitative Prediction and Evaluation of Geothermal Anomaly Area in Qamdo-Nyingchi Section of Sichuan-Tibet Railway

作　　者：陈喆 董庆 陈建平[1,3] 赵文博 蒋良文[4] 张广泽[4] 冯涛[4] 王栋[4] 毕晓佳 边民 张权平 孟德利 Chen Zhe;Dong Qing;Chen Jianping;Zhao Wenbo;Jiang Liangwen;Zhang Guangze;Feng Tao;Wang Dong;Bi Xiaojia;Bian Min;Zhang Quanping;Meng Deli(School of Earth Science and Resources,China University of Geosciences(Beijing),Beijing 100083,China;Laboratory of Digital Earth Science,Aerospace Information Research Institute,CAS,Beijing 100094,China;Key Laboratory of Land and Resources Information Research&Development in Beijing,Beijing 100083,China;China Railway Eryuan Engineering Group Co.Ltd,Chengdu 610031,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国地质大学(北京)地球科学与资源学院,北京100083 [2]中国科学院空天信息创新研究院数字地球重点实验室,北京100094 [3]北京市国土资源信息研究开发重点实验室,北京100083 [4]中铁二院工程集团有限责任公司,四川成都610031 [5]中国科学院大学,北京100049

出　　处：《遥感技术与应用》2021年第6期1368-1378,共11页Remote Sensing Technology and Application

基　　金：中铁二院科学技术项目“川藏铁路雅安至昌都段地温集中发育区地热分布高精度热红外遥感解译专题”;国家重点研发计划“深地资源勘查开采”重点专项课题“深部成矿地质异常定量预测方法与模型”(2017YFC0601502)。

摘　　要：识别川藏铁路沿线的地热异常区有助于工程的建设和后期的管理维护。以川藏铁路昌都—林芝段为研究区,基于Landsat 8热红外影像数据,反演地表温度并进行星地同步实验,得到校正后的地温值。围绕地热异常的成因与分布规律,选取地层组合熵、断层缓冲距、断层线密度、地表温度、水系缓冲距、地震动峰值加速度6个影响因子作为地热异常区评价指标并检验因子独立性。构建信息量模型进行定量预测,最终将识别结果划分为5个子区域。研究表明:高异常区和中异常区分别占研究区总面积的9.14%和28.57%,地热高温点的空间分布与地热异常区评价结果基本一致。研究结果可为川藏铁路的设计与施工提供参考依据。The identification of geothermal anomaly areas along the Sichuan-Tibet Railway is helpful to the construction and later management and maintenance of the project.Taking The Qamdo-Nyingchi section of Sichuan-Tibet Railway as the research area,based on the landsat-8 thermal infrared image data,the surface temperature was inverted and the planetary geostationary experiment was carried out to obtain the corrected geotherm value.Focusing on the genesis and distribution of geothermal anomalies,six influencing factors,namely,formation assemblage entropy,fault buffer distance,fault line density,surface temperature,water buffer distance,and peak ground motion acceleration,were selected as the evaluation indexes of geothermal anomaly areas and the independence of factors was tested.An information quantity model was built for quantitative prediction,and the recognition results were finally divided into 5 sub-regions.The results show that the high anomaly area and the middle anomaly area account for 9.14% and 28.57% of the total area of the study area respectively,and the spatial distribution of geothermal high-temperature points is basically consistent with the evaluation results of geothermal anomaly area.The research results can provide reference for the design and construction of SichuanTibet railway.

关 键 词：川藏铁路 热红外遥感 地表温度 信息量模型 地热异常区 

分 类 号：P642.2[天文地球—工程地质学] TP79[天文地球—地质矿产勘探]