InSAR Technique And Depth-Integrated Method Coupled Model For Potential Damage Area Assessment Of Large-Scale Landslide

For large-scale landslide studies,what we concerned most are where the landslide would happen and how the impact of the landslide would cause.Where the landslide would happen is the primary condition for landslide studies,only if we have been known the location of a landslide we can monitoring and assess the risk of a landslide.While,what the consequence of the landslide would cause after its failure is the keypoint for landslide prevention.So only if the early identification and the potential damaged area assessment are combined,the whole characters of landslide can be depicted.But the location of large-scale landslide can hardly be identified with traditional geological survey due to the complex geological condition and terrain.Meanwhile,the assessment of an area in danger with traditional empirical ways can be led large errors.So,in this paper a new method which couples the InSAR technique based early identification of potential large-scale landslide with the dynamic processes based potential damage area assessment is presented.It tries to identify the location of large-scale landslide and assess the potential damage area before it occurs.This method combines the early identification and risk assessment so that promoting the disaster prevention and mitigation work of large-scale landslide.This thesis mainly presents an InSAR technique and depth-integrated coupled model for potential landslide assessment,the relevant works and conclusions are summarized as follows:(1)To explore the influence of gravity to simulation results,in this paper,the Daanshan landslide which is located in Fangshan Distinct,Beijing was selected to discuss influence of gravity in detail.Based on the interpret results obtained from the real-time video,the simulation results are compared with interpret ones.The results indicated that the rotated coordinate system can obtain better results than the vertical coordinate system in areas with steep slopes,whereas the differences can be neglected when considering gentle slopes(2)To better descript the whole process of a potential landslide when it would fail,the process of landslide into the water was also study with depth-integrated method.In this paper,a two-phase subaerial landslide model which considers the momentum exchange cause by the material migration between the water and the landslide mass was development to further assessment the surge wave caused by subaerial landslide.Besides,a flume model and the Hongyanzi landslide was select to verify the new developed model.The results show that the new two-phase subaerial landslide model can depict the whole processes of landslide into water body properly.While the assessment for the potential landslide in the Baige region shows that once it failed,the landslide would dam the Jinsha River again.(3)A new model which is coupled potential large-scale early identification and dynamic processes based risk assessment is developed in this paper.Besides,the two sequential landslide occurred at Baige village were selected to verify the new model.First,the satellite based optical and SAR images were using to analyze the historical deformation characteristics of the first landslide.Though interpreting those images,the historical deformation was determined and the initial deformation area was found.Then the field investigation,UAV images and the numerical simulation were used to ascertain the best-fit simulation model and parameters of the first landslide.The InSAR technique was used to identify the failure of second landslide.According to the characteristics and the ascertained computational model and parameters of first landslide,the dynamic processes futures of second landslide was predicted before it happened.When the second landslide actually happened,the information was collected and compared with the predicted results to verify the coupled risk assessment model.The result show that the failure and the potential damage area was predicted and the presented model is reliable.In general,the new model which is coupled early identification and dynamic processes based risk assessment for large-scale landslide not only solves the problems about the difficulty of identify a potential landslide and incomplete description of the whole landslide processes but also fill the gap between the landslide early identification and numerical prediction.This model makes it possible for landslide identification and assessment in a regional scale.