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作 者:杨妍妨 居和建 程洋[1,2] 王永 阎书豪 王珊珊 李芹 YANG Yanfang;JU Hejian;CHENG Yang;WANG Yong;YAN Shuhao;WANG Shanshan;LI Qin(Institute of Karst Geology,CAGS/Key Laboratory of Karst Dynamics,MNR&GZAR/International Research Center on Karst under the Auspices of UNESCO,Guilin,Guangxi 541004,China;Pingguo Guangxi,Karst Ecosystem,National Observation and Research Station,Pingguo,Guangxi 531406,China;Nanning College of Technology,Guilin,Guangxi 541004,China;China Aero Geophysical Survey and Remote Sensing Center for Natural Resources,Beijing 100083,China;Yunnan Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area,Kunming,Yunnan 650216,China;Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area,MNR,Kunming,Yunnan 650216,China;Yunnan Institute of Geo-Environment Monitoring,Kunming,Yunnan 650216,China)
机构地区:[1]中国地质科学院岩溶地质研究所/自然资源部、广西岩溶动力学重点实验室/联合国教科文组织国际岩溶研究中心,广西桂林541004 [2]广西平果喀斯特生态系统国家野外科学观测研究站,广西平果531406 [3]南宁理工学院,广西桂林541004 [4]中国自然资源航空物探遥感中心,北京100083 [5]云南省高原山地地质灾害预报预警与生态保护修复重点实验室(筹),云南昆明650216 [6]自然资源部高原山地地质灾害预报预警与生态保护修复重点实验室,云南昆明650216 [7]云南省地质环境监测院,云南昆明650216
出 处:《中国岩溶》2024年第6期1362-1375,共14页Carsologica Sinica
基 金:国家自然科学基金项目(U21A2041);中国地质调查局项目(DD20230441);广西重点研发计划项目(2020AB22013)。
摘 要:地质灾害隐患早期识别的主要任务是从实际的地质环境出发,研判地质环境因素变化可能产生新的地质灾害,对其进行科学预测以降低灾害发生几率。文章在实践工作基础上,结合已有规范、标准,构建由地形地貌、地质构造、地层岩性、水文地质、土地利用、人类活动、不良地质现象7类地质环境条件组成、服务于地质灾害隐患早期识别工作的县域地质环境遥感解译体系,并利用北京二号高分辨率光学遥感影像建立地质环境条件全要素解译标志,完成县域环境地质遥感解译。基于县域地质环境解译结果,总结归纳采用7类地质环境要素解译研判单体隐患的工作内容及步骤,并以云南省丽江市华坪县八德村滑坡隐患为示范案例,展示地质环境遥感解译工作如何服务于单体地质灾害隐患早期识别与风险评价。Huaping county is located in the mountains bordering the Yunnan-Guizhou Plateau and the Qinghai-Xizang Plateau,where geo-hazards occur frequently.In order to understand the background of disaster generation and the laws of their occurrence,as well as to enhance the accuracy of early identification of potential geohazards and reduce the likelihood of disasters,this study has developed a county-level system for remote sensing interpretation of the geological environment.This system is designed for the early identification of potential geohazards,based on practical work and existing norms and standards.Additionally,this study has established a set of fullelement interpretation signs for geological environment conditions in Huaping county by utilizing Beijing-2 High-Resolution Optical Remote Sensing Images,thereby completing the remote sensing interpretation of the geological environment in Huaping county.Based on the interpretation results of the geological environment in this county,this study examines the potential landslide hazards in Bade village,Huaping county,as a case study.It demonstrates how remote sensing interpretation of the geological environment facilitates the early identification and risk assessment of potential geo-hazards occurring in a single geographic unit.The overall findings of this study are as follows:(1)The remote sensing interpretation system of county-level geological conditions,based on potential geohazards,can be summarized and classified into seven categories:topography and geomorphology,geological structure,stratum lithology,hydrogeology,land use,human activities,and adverse geological phenomena.(2)With the use of seven categories of geological environment elements,the process of interpreting and assessing potential disasters in a single geographic unit can be summarized as the following steps.First,the characteristics of surface deformation,and indicators of topography and geomorphology were analyzed to determine the activity and the topographic associated with the occurrence of pote
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