RETRACTED: Forecasting the Landslide Blocking River Process and Cascading Dam Breach Flood Propagation by an Integrated Numerical Approach: A Reservoir Area Case Study

Abstract

This paper aims to introduce a numerical technique for forecasting the hazard caused by the disaster chain of landslide blocking river-dam breach floods through an integration of the distinct element method (DEM) and a well-balanced finite volume type shallow water model (SFLOW). A toppling slope in a reservoir area, the southeastern Tibetan Plateau, was chosen for the study. Creep has been observed in the potential instability area, and a possible sliding surface was identified based on the data collected from adits and boreholes. Catastrophic rock avalanches may be triggered after reservoir impoundment, and the associated landslide disaster chain needed to be predicted. First, the landslide blocking river process was modeled by the DEM using the three-dimensional particle flow code (PFC 3D). The landslide duration, runout distance, and kinematic characteristics were obtained. In addition, the landslide dam and barrier lake were constructed. Then, the cascading dam breach flood propagation was simulated using the self-developed SFLOW. The flow velocity, inundation depth, and area were obtained. The hazard maps derived from the combined numerical technique provided a quantitative reference for risk mitigation. The influences of two involved parameters on the final hazard-affected area are discussed herein. It is expected that the presented model will be applied in more prediction cases.

Rainfall–Mining Coupling Effects on Slope Failure Mechanism and Evolution Process: A Case Study of Open-Pit to Underground Mining

“…Poisson ′ s ratio similarity constant α µ = 1 (10) Internal friction angle similarity constant α Φ = 1 (11)…”

“…When underground mining starts, the rock mass is disturbed again [7]. The interaction of the stress fields changes the internal shape of the rock mass, resulting in strong nonlinearity [8][9][10][11]. This dynamic process has attracted many scholars' attention.…”

Artificial Intelligence Based Flood and Landslide Disaster Monitoring and Dynamic Numerical Prediction System

“…Yan Jianhua applied a numerical technique that combines the discrete element method with the equilibrium finite volume shallow water model to predict the hazards caused by landslide blockages, dam breaches, and flood disaster chains, and selected a dumping slope in a reservoir area in the southeast of the Qinghai Tibet Plateau for research. The results indicated that the hazard map obtained by combining numerical techniques provided a quantitative reference for risk mitigation [6]. Sheng Yifan achieved landslide disaster prediction mapping by combining spatiotemporal probability analysis with time-varying ground deformation velocity derived from multi temporal interferometric radar methods, and used a comprehensive set of statistical indicators to evaluate the effectiveness of these methods.…”