DEM-SPH simulation for the formation and breaching of a landslide-dammed lake triggered by the 2022 Lushan earthquake

Zhu, Qiangqiang; Jiang, Nan; Chen, Qin; Hu, Yuxiang; Zhou, Jia‐wen

doi:10.1007/s10346-023-02096-6

Cited by 2 publications

(1 citation statement)

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“…However, the size effect is always the main limitation of laboratory-scale tests [7, 13,14]. To overcome these limitations, physically-based numerical methods have become the most attractive technique with which to investigate landslide-blocking rivers in the past decade [15][16][17][18]. Of these, two types of approaches were well-established, namely, continuum-based methods and discontinuumbased methods.…”

Section: Introductionmentioning

confidence: 99%

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

Yan,

Xing,

et al. 2023

Remote Sensing

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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.

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