Monitoring And Research Of Taping Landslide Based On InSAR Technology

The geological conditions in the Three Gorges reservoir area are complex.The annual rainfall is more than 1000 mm,and the precipitation time is concentrated.As a result,the number of ancient landslides is large.Since the Three Gorges Dam impounded,the large reservoir water level increase and periodic adjustment have deteriorated the geological environment of the reservoir area.A large number of large-scale old landslide bodies have been revived and many new landslides have emerged.Conventional landslide identification and monitoring techniques often require a lot of manpower and material resources,and are easily subject to external conditions.InSAR technology has been widely used in the research and application of large-scale detection and high-precision monitoring of landslide hazards because of its ability to accurately obtain surface subtle deformation and its all-weather and all-weather advantages.However,due to the large topographic fluctuations and numerous vegetation in the Three Gorges reservoir area,the actual data processing applications are affected by time decoherence,spatial decoherence,and atmospheric disturbance,which brings great confusion to the deformation extraction of landslides.The research work of this paper is as follows:(1)Summarizes the principle of Synthetic Aperture Radar(SAR)briefly,analyzes the source of errors and measures for reducing the InSAR technology,and introduces the currently widely used multi-class sequential InSAR technologies,and summarizes their respective characteristics in landslide monitoring applications.(2)Analyze the characteristics of the motion process of the landslide system from the perspective of the general system science of engineering geology.According to the deformation characteristics of the landslide system,the commonly used forecasting models are introduced and analyzed,and the time series analysis model,the gray system model,the artificial neural network model,and the filtering model are introduced.The detailed introduction and formula derivation of the Kalman filter model and the EnkF model(EnKF)are introduced,and the update of the model and the process of predictive feedback control are introduced in detail.(3)Utilizing Stacking technology to conduct a large-scale landslide survey in Wushan County,detected more than 30 suspected landslides,of which the maximum deformation rate reached 20cm/y;and through data enquiries and on-site inspections,19 were identified as being Landslide development.(4)Using IPTA technology to obtain the time series deformation information of the landslides of the Taping and Linjiawan landslides from 2015 to 2017,revealing the temporal and spatial characteristics of the deformation of the two landslides at the Taping and Linjiawan sites and comparing them with the GPS results.The difference between the two is mainly distributed at 5-15 mm,which proves the feasibility of using InSAR technology for landslides in this area.(5)Using the acquired deformation sequence and rainfall,and two hydrological factors of the reservoir water level change as the coupling analysis,this paper analyzes the deformation mechanism of this kind of bank landslide,and applies the Kalman filter method to the InSAR landslide deformation monitoring.