摘要
以三峡库区秭归县树坪滑坡为研究对象,通过远程全自动变形监测系统获取的滑坡监测曲线,结合历年专业监测和库水位、降雨等资料,分析了该滑坡的变形特征,找出了滑坡变形的主要诱发因素,并通过分析滑坡位移曲线、计算实测数据,得出了以变形位移速率和切线角为预警阀值的该滑坡四级预警定量划分标准。研究结果表明:库水位下降是诱发树坪滑坡变形的主要因素,降雨等仅起到雪上加霜的辅助作用;库水位下降速率大,树坪滑坡的变形速率也相应增大;引起树坪滑坡变形加速的关键因素实际上是地下水与库水位间的水位差形成向外的动水压力引起;切线角和变形位移速率的预警阀值仅为定量判定树坪滑坡的预警级别提供了依据,滑坡发展演化阶段的判定还应结合其宏观变形破坏迹象等综合判断。
Selecting the Shuping landslide in Zigui county in the Three Gorges Reservoir area as the research object, this paper analyzes the automatic monitoring curves intercepted by the Remote Full-Automatic Deformation Monitoring System and relevant statistics of the professional monitoring, reservoir water levels and precipitation in this area over the years, and summarizes the deformation characteristics and major inducing factors of the Shuping landslide. Through the displacement curve analysis and the measured data calculation, a quaternary quantitative early warning classification criterion with the deformation displacement velocity and contingence angle as threshold values is proposed. The results show that the reservoir water level declination is the major inducing factor of the Shuping landslide, while the rainfall only plays a supplementary role; there exists a positive correlation between the reservoir water level declination and the deformation displacement velocity of the Shuping landsilde ; the critical factor of the acceleration of the deformation displacement velocity lies in the outward dynamic water pressure caused by the water head difference between the underground water levels and reservoir water levels. The analysis with the contingence angle and the deformation displacement velocity as threshold values can only provide a quantitative basis for the grading of the early warning of the Shuping landslide, while the predication of its evolutionary phase should be made according to the synthetic judgment of various factors, including the macro deformation and failure etc..
出处
《水文地质工程地质》
CAS
CSCD
北大核心
2015年第5期115-122,128,共9页
Hydrogeology & Engineering Geology
关键词
树坪滑坡
自动监测
滑坡诱因
预警判据
the Shuping landslide
automatic monitoring
inducing factor of a landslide
early warning criterion
