4.5 Article

Probabilistic stability analysis of Bazimen landslide with monitored rainfall data and water level fluctuations in Three Gorges Reservoir, China

Journal

FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING
Volume 14, Issue 5, Pages 1247-1261

Publisher

HIGHER EDUCATION PRESS
DOI: 10.1007/s11709-020-0655-y

Keywords

reliability analysis; Bazimen landslide; rainfall; reservoir water level; slope stability

Funding

  1. Natural Science Foundation of Chongqing, China [cstc2018jcyjAX0632, cstc2019jcyj-bshX0043]
  2. High-end Foreign Expert Introduction program [G20190022002]
  3. Chongqing Engineering Research Center of Disaster Prevention & Control for Banks and Structures in Three Gorges Reservoir Area [SXAPGC18ZD01, SXAPGC18YB03]

Ask authors/readers for more resources

Landslide is a common geological hazard in reservoir areas and may cause great damage to local residents' life and property. It is widely accepted that rainfall and periodic variation of water level are the two main factors triggering reservoir landslides. In this study, the Bazimen landslide located in the Three Gorges Reservoir (TGR) was back-analyzed as a case study. Based on the statistical features of the last 3-year monitored data and field instrumentations, the landslide susceptibility in an annual cycle and four representative periods was investigated via the deterministic and probabilistic analysis, respectively. The results indicate that the fluctuation of the reservoir water level plays a pivotal role in inducing slope failures, for the minimum stability coefficient occurs at the rapid decline period of water level. The probabilistic analysis results reveal that the initial sliding surface is the most important area influencing the occurrence of landslide, compared with other parts in the landslide. The seepage calculations from probabilistic analysis imply that rainfall is a relatively inferior factor affecting slope stability. This study aims to provide preliminary guidance on risk management and early warning in the TGR area.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available