Abstract：Deformation monitoring was conducted in Enshi, Hubei province based on SBAS-InSAR method using 97 Sentinel-1A satellite images from 2019-01 to 2022-05. The results show that there are multiple landslide clusters in the study area with a maximum sliding rate of 49 mm/a. The relationship between deformation and slope based on the slope map of the study area generated by external DEM reveals that the sliding areas are mainly located in mountains with slopes ranging from 20° to 40°, so the slope and aspect factors need to be considered during railway route selection. It is found that inland landslides away from rivers tend to slide faster in the rainy season and slow down after the rainy season, while riverbank landslides tend to slide slower in the rainy season and slide faster after the rainy season. Combined with the analysis of optical images and geological survey data, it can be seen that the InSAR monitoring results are basically consistent with the actual situation. The research results can help to understand surface deformation trends and causes in Enshi, Hubei province, and indicate that the time-series InSAR technology can be used for landslide census and early warning of rail transportation projects. The landslide monitoring results can provide an important reference basis for the route pre-selection of high-speed railway.
GUAN Liyi,LIU Bingyang,WANG Zuoyu. Identification of Landslide Hazards and Cause Analysis during Route Selection of Hubei Enshi Railway[J]. jgg, 2023, 43(11): 1107-1111.
