Application Of SBAS-InSAR In Landslide Hazard Identification And Evaluation

The investigation and evaluation of traditional geological disasters rely on on-site investigation and professional interpretation,and face many difficulties such as long work cycle and high cost.Due to its unique observation advantages of all-day and all-weather,interferometric synthetic aperture radar technology is widely used in the screening of hidden dangers of geological disasters.The application research on the identification and evaluation of landslide hidden dangers based on interferometric synthetic aperture radar technology can effectively assist in verifying the results of geological hazard census,and has important reference value and engineering application significance for the subsequent geological hazard census.In this paper,the S406 plant in Huangmei County was used as the research goal,the disaster breeding mechanism was analyzed by geological conditions,the rainfall landslide prediction model was established by using the census data,and the SBAS-In SAR technology was used as an auxiliary verification method to identify and evaluate the disaster hidden dangers of the research objectives.The main research contents and conclusions are as follows:(1)Analysis of the breeding mechanism of geological disasters.The study area is located in the northern part of Huangmei County in the mountainous area with low tectonic erosion,faults and folds are concentrated,the regional lithology is dominated by massive magmatic rocks and metamorphic rock systems,the rock surface is greatly affected by weathering and erosion,and collapse and landslide disasters are common.Human engineering activities and rainfall have greatly increased the probability of disasters in unstable areas,and the number of geological disasters such as collapses and landslides in Huangmei County has increased significantly when the rainfall is heavy during the flood season.(2)Geological hazard census results and rainfall research.The census data and rainfall time of Hubei Province were counted,eight types of landslide risk evaluation predictors were selected,the critical rainfall expression was determined,and the landslide rainfall prediction model was constructed.The model can integrate the three necessary conditions for landslide occurrence and the five types of risk assessment indicators used in the census,and can accurately judge the hazards of landslides.(3)Research on identification of landslide hazards by SBAS-In SAR technology.By processing SBAS-In SAR on the time series Sentienl-1A data in the study area in recent years,the landslide hazard identification and evaluation in the study area was realized.The results show that the annual average deformation rate of the research target is-85mm/y,the cumulative deformation variable is-139 mm,and there is a large deformation rate in the third quarter of 2021,which is a disaster under heavy rainfall,which verifies the consistency of the analysis results and the census results,proves the effectiveness of SBAS-In SAR technology in the investigation of geological hazards,and lays a technical foundation for subsequent applications.