Research On Landslide Susceptibility Based On Time Series InSAR Technology In PiLi Qing River Basin

The Pi Li Qing River Basin is located in the northwestern part of Yining County.The terrain is high in the north and low in the south.The geological environment is complex and the landslide disasters occur frequently,which has a great impact on the local social and economic development.Based on the "Yicheng-Wuqia Region Comprehensive Geological Survey" project,this paper studies the susceptibility of landslides in the Pi Liqing River Basin,Xinjiang.The evaluation of landslide susceptibility is one of the important methods for landslide hazard research,and it is widely used in the field of geological disasters.Under normal circumstances,this research method needs the historical landslide data as the data support of the research,and the lack of historical landslide information will lead to the deviation of the susceptibility evaluation results or the unsatisfactory update of the evaluation results.InSAR technology and its development,such as time-series InSAR technology as an important method for monitoring surface deformation,can obtain surface millimeter-level deformation monitoring results,and have important applications in landslide cataloging and landslide monitoring,but the technology is suitable for landslide susceptibility evaluation.There are not many applications in the field.In this paper,the Pi Liqing River Basin is used as the research area,and the Sentinel No.1 image data is used as the data source.SBAS technology is used to extract the landslide deformation point information in the region,and this is used as a coupling factor to replace the historical landslide data commonly used in the past.Sexual evaluation research.The main results of this paper are as follows:(1)Using SBAS technology to extract the surface deformation information of the study area,and using the deformation rate and landslide definition as conditions,15198 high-precision landslide deformation points were screened.At the same time,through the nuclear density analysis to determine the spatial distribution characteristics of the landslide deformation point and historical landslide data,it can be considered that the displacement deformation point of the study area can basically represent the landslide information.(2)Based on the analysis of the actual situation of the Pi Li Qing River,combined with the historical landslide data collected from the study area,the selected terrain slope,terrain slope,terrain relief,rock group,fault and water system are selected.Six items were used as evaluation indicators,and the spatial distribution of historical landslide points and landslide deformation points and the relationship between these evaluation indicators were analyzed.(3)The analytic hierarchy process is used to analyze and calculate the strength and weight of each evaluation index and the occurrence of landslide.The weight system between the indicators of rock group > water system > slope > fault > undulation > slope direction is determined and corresponding The internal weight relationship of the indicator.The information volume model was established to explore the effect of different classifications on the landslide.Finally,the total information weight in each evaluation unit was calculated,and the landslide susceptibility evaluation in the study area was completed.The results showed that the area with high susceptibility in the study area accounted for 46.86% of the study area,covering 86.2% of historical landslide points and 85.45% of landslide deformation points.The final result proves the rationality of this susceptibility evaluation research,and also shows that it is feasible and effective to use SBAS technology to extract the landslide deformation point for the evaluation of susceptibility.