1. Deformation and stability analysis of the ancient Da'ao landslide revealed by InSAR and model simulation.
- Author
-
Zhang, Jing, Li, Chengqiu, Wang, Shuying, Zhang, Guohong, Chen, Donghui, Zhang, Pengfei, and Yuan, Ren-Mao
- Subjects
LANDSLIDES ,SYNTHETIC aperture radar ,RADAR interferometry ,EARTHQUAKES ,GRANULAR flow ,HAZARD mitigation ,NATURAL disaster warning systems - Abstract
Recurrence of large-scale ancient landslides often manifests as catastrophic events, so it is important to assess their stability by monitoring the deformation process. In this study, the Da'ao ancient landslide along the Jinsha River in China was investigated and analyzed. Field investigation showed that the landslide body is being experienced deforming with many new failures. Three sliding events can be identified according to different main scarps. The Permanent Scatterer Synthetic Aperture Radar Interferometry (PS-InSAR) data further revealed that the most obvious deforming area is in the middle and toe part of the sliding body with the largest cumulative displacement of 55 mm during 2017 to 2021. Additionally, the relatively stable zone and the accelerating deforming zone are divided by displacement rate. This indicates that the Da'ao landslide is becoming unstable. At the same time, the Particle Flow Code (PFC) simulation verified that the risk of landslide recurrence is likely when subjected to strong earthquakes or heavy rainfall, and the resulting sidings could dam the Jinsha River. In addition, the analysis results suggested that the displacement rates were approximately 5 mm/year and 13.3 mm/year before and after the Ms 5.2 earthquake, respectively, which occurred on 04/21/2019. The deformation changed with seasonal variation during 2017–2021 and lagged behind precipitation, while the earthquake can increase the amount and rate of displacement. The results presented here can help us to understand how landslides recur over time and their deformation and failure mechanisms, which is useful for disaster prevention and mitigation. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF