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摘要
金沙江上游地质条件极其复杂,大型及以上滑坡发育,曾经形成多次类似白格滑坡的堵江链式灾害,受地面调查手段和通行条件的限制难以及早发现。基于光学遥感技术开展金沙江上游干流大型滑坡识别研究,从滑坡形成条件及演化过程入手,采用遥感解译和孕灾地质环境条件分析的综合识别方法,建立了高位远程滑坡的影像标志、地形地貌标志、地质环境条件标志、人类工程活动标志等四大类识别指标,根据各指标的贡献程度,将各指标划分为基本条件、重要条件、辅助识别条件等三个等级。应用该方法在研究区共识别出84处大型及以上滑坡隐患。研究成果可为金沙江上游干流区域地质灾害防治和重大工程建设提供依据,也为类似高山峡谷区滑坡识别提供参考。
Abstract
The geological conditions of the upper boundbelt of Jinsha River are extremely complex.The high position and long-runout geological disasters are the epitome of the geologica levolution in this area, which have for med many chain disasters similar to Baige landslide.High position and long-runout landslide has the characteristics of strong concealment, largescale, high suddenness and great destructive power.It is difficult to detect early due to the limitation of ground survey methods.Based on multi-optical remote sensing technology to carry out the Jinsha River upstream binding zone high remote landslide identification research, starting from the formation condition sand evolution process of high position and long-runout landslide, the comprehensive identification method of comprehensive remote sensing interpretation and halo disaster geological environment conditionanaly is adopted.Fourearly identification indexes of high position and long-runout landslide are stablished, which are image mark, topography mark, geological condition mark and human engineering activity mark.84 high position and long-runout landslides were identified int hestudy area.Through the identification results, the early identification indicators are further summarized, and the indicators are divided into three levels: basic conditions important conditions and auxiliary identification conditions.The research results provide the basis for the prevention and control of geological disasters and major engineering construction in the upper Jinsha River region, and also provide references for the early identification of high position and long-runout landslides in similaral pine valleyareas.
关键词
金沙江上游
/
大型滑坡
/
光学遥感识别
Key words
the upper reaches of Jinsha River
/
high-location and long-runout landslide
/
optical remote sensing recognition
Author summay
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Sichuan Institute of Comprehensive Geological Survey (Evaluation and Utilization of Strategic Rare Metals and Rare Earth Resource Key Laboratory of Sichuan Province), Chengdu 610081, Sichuan, China), AuthorCompanyExt(id=1248676001849385227, tenantId=1045748351789510663, journalId=1221126710357164034, articleId=1248596685484577374, companyId=1248676001820025096, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.四川省综合地质调查研究所(稀有稀土战略资源评价与利用四川省重点实验室), 四川 成都 610081)])])]
赵恒,余天彬,王猛,黄细超,王军,刘文,宋班.
金沙江上游干流大型滑坡光学遥感识别研究[J].
水利水电技术(中英文), 2025, 56(S1): 626-633 DOI:10.13928/j.cnki.wrahe.2025.S1.095
基金资助
四川省地质调查研究院财政资金项目(SCIGS-CZDXM-2024006)
部-省合作四川地质灾害遥感项目(SCDZRS-2023)