Comprehensive evaluation and prediction of potential long-runout landslide in Songrong, Tibetan Plateau: insights from remote sensing interpretation, SBAS-InSAR, and Massflow numerical simulation
摘要
This study aims to address the challenge of early identification and understanding of the mechanisms that trigger potential long-runout landslides, which are often concealed at high altitudes and sudden in occurrence in the Tibetan Plateau. Through the integration of remote sensing interpretation, SBAS-InSAR, and Massflow numerical simulation, this study presents a comprehensive evaluation and prediction of the potential long-runout landslide in Songrong, Derong County, China. The results reveal that Sentinel-1 ascending data are more appropriate for monitoring the deformation characteristics of the Songrong landslide, which has a maximum deformation rate of − 43 mm/a (ascending) and − 8 mm/a (descending) between January 2016 and February 2022. The landslide scarp at the rear edge measures up to 71 m, and the tensile crack extends 110 m with a maximum width of 6 m. After a heavy rainfall event on July 15, 2018, the deformation rate significantly increased to − 233.26 mm/a within 5 months. The landslide accumulation area shows a creep-accelerated creep-stable-creep deformation pattern matching the rainfall cycle. The study concludes that the Songrong landslide has the potential for long-altitude initiation risk under the effects of heavy rainfall and earthquakes. Massflow numerical simulation estimates the whole process from long-altitude initiation to remote accumulation to be approximately 200 s, with an estimated accumulation volume of 1.05 × 106 m3, which could potentially dam the Dingqu River. In light of these findings, it is recommended to strengthen remote sensing investigations, InSAR deformation monitoring, and field investigations of potential long-runout landslides on the Tibetan Plateau to establish measures for their early identification and prevention of associated hazards.