Research On Technical Methods Of Landslide Monitoring

Landslide is a common natural disaster.It has the characteristics of wide distribution,complicated genesis,frequent occurrence,high risk,and unpredictable development trend.Once it occurs,it will cause serious damage to people's production and life.The maximum dam height of Ludila Hydropower Station in Jinsha River is 140 m,the normal water storage level of the reservoir is 1223 m,and the total storage capacity is 17.18×108m3.The project is mainly for power generation and is a first-class large-scale project.The external traffic road of Ludila Hydropower Station is located in the canyon section of the reservoir area of Jinjiang Bridge to the dam site of about 30 km.The physical geological phenomena such as landslides and dumping deformations on both banks are relatively developed.The excavation of the external highway destroyed the original stable state of the landslide,and some landslides produced sliding or cracking deformation.In the rainy season,especially in heavy rain conditions,the landslide deformation is particularly obvious,which has a great impact on the operation of the traffic road.Therefore,it is necessary to carry out deformation monitoring and prediction research on the landslide.The main research contents and innovations of this paper are as follows:1.Comparative analysis of leveling measurement,triangular elevation measurement,GNSS measurement and other deformation monitoring techniques,and applying them to landslide deformation monitoring respectively,obtaining corresponding observation data,and summarizing their respective landslide deformation monitoring applications advantages and disadvantages.2.Based on the analysis of the deformation monitoring data of the external traffic highway landslide in Ludila hydropower station in the past 5 years,the trend curve of each monitoring point of each landslide body is obtained through classification calculation and combined with the actual geological landform and hydrological characteristics.Graphs and rate-of-change graphs,which in turn analyze the factors affecting the stability of each landslide.3.Using data fitting analysis method,regression analysis method,exponential smoothing method,grey prediction model and Numerical simulation prediction method,the fitting and prediction research on the external traffic highway landslide monitoring data of Ludila Hydropower Station was carried out,and the corresponding forecasting curves were drawn.The effectiveness and applicability of the prediction model in landslide monitoring were compared and analyzed,and some preliminary research conclusions were obtained.