Numerical assessment for the efficiencies of check dams in debris flow gullies: A case study

Shen, Wei; Li, Tonglu; Li, Ping; Lei, Yu-Lu

doi:10.1016/j.compgeo.2020.103541

Cited by 23 publications

(4 citation statements)

References 65 publications

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“…Li et al [53] simulated the runout behavior of the Jiweishan landslide using a single-phase model based on PFC and verified the efficiency of the solver. Similar research work can be found in [54][55][56]. Therefore, in the presented study, the propagation of the Shaziba landslide was assumed to be a single-phase material for simplified calculation and the material's multi-phase nature was ignored, though the source material of the Shaziba landslide was saturated soil containing water and soil phases.…”

Section: Model Establishmentmentioning

confidence: 76%

Propagation Modeling of Rainfall-Induced Landslides: A Case Study of the Shaziba Landslide in Enshi, China

Cheng

Dai

2023

Water

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Geological disasters, especially landslides, frequently occur in Enshi County, Hubei Province, China. On 21 July 2020, a large-scale landslide occurred in Enshi due to continuous rainfall. The landslide mass blocked the Qingjiang River, formed a dammed lake and caused great damage to surrounding roads and village buildings. In this study, the geomechanical properties of the landslide mass were obtained through field surveys. A three-dimensional topography model of the slope was established using the particle flow code (PFC) and the numerical parameters of the model were calibrated. A 3D discrete element model (DEM) was used to simulate the propagation of Shaziba landslide, and the dynamic behavior of the landslide was divided into five stages. The simulation results show that the landslide movement lasted approximately 1000 s. The maximum average velocity of the landslide reached up to 7.5 m/s and the average runout distance was about 1000 m. The simulated morphology of the landslide deposits was in good agreement with the field data. In addition, the influence of effective modulus on the calculation results was analyzed. The results indicate that the propagation behavior of a landslide and the morphology of landslide deposits are closely related to the effective modulus in the contact model of the PFC3D.

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Section: Model Establishmentmentioning

confidence: 76%

Propagation Modeling of Rainfall-Induced Landslides: A Case Study of the Shaziba Landslide in Enshi, China

Cheng

Dai

2023

Water

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“…Erosion caused by surface runoff can often provide a rich material source for the formation of debris flows, and can accelerate the formation of gullies [2,3]. Normally, a gully in which debris flows have occurred can be described as a debris flow gully [4,5]. Researchers often use the alluvial fans of debris flows at the outlet of the gullies as the defining marks in order to evaluate whether they are debris flow gullies [6,7].…”

Section: Introductionmentioning

confidence: 99%

Debris Flow Gully Classification and Susceptibility Assessment Model Construction

Cheng

Iqbal

Gao

2023

Land

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The location of debris flow occurring in a gully determines the observable differences in its formation, evolution and effects. In this piece of research, we propose a new method for debris flow gully classification based on the locations of the debris flows occurring in the gullies. It is termed the three-section method (TSM). It includes eight different types of gullies with different digital identifications (IDs) and susceptibility degrees (SDs). By taking the Jiangjia Gully (JJG), in Yunnan, China, as a case study site, the main gully and the sub-gullies at different levels were identified using a hydrological analysis method. Then, the gullies were divided into different types using the new classification TSM. The results show that there are seven different types of debris flow gullies in the JJG. The number of different types varied greatly in gullies at different levels. In particular, the topological diagram of debris flow gullies was drawn after simplifying the shape of the gullies, and it was a good way to understand the characteristics of debris flow gullies. Finally, the relationships were explored between the hypsometric integrals (HIs), surface exposures (SEs) and susceptibility degrees (SDs), and a new calculation model construction method for determining the degree of debris flow susceptibility was proposed. This model, using the above method, can not only be used to calculate the SDs of debris flows in the gullies, but can also be instrumental in pointing out the approximate locations of the debris flow commonly and easily occurring in the gullies. We hope that our research can provide a new concept for the assessment of debris flow susceptibility.

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“…Although numerical simulation of landslide dynamic processes has achieved remarkable results, there are issues with each of the following three main approaches. The continuous medium approach, including smoothed particle hydrodynamics (SPH) (Pastor et al, 2014), the material point method (MPM) (Soga et al, 2016), the finite-element method (FEM) (Muceku et al, 2016), the finite-volume method (FVM) (Pitman et al, 2003), and the finite-difference method (FDM) (Shen et al, 2020), is not very effective in describing particle separation and internal fracture of rockslides. The thin-layer models are based on the thin-layer approximation and depth-averaging process of the Navier-Stokes equations without viscosity, but a main issue is low computational accuracy (Moretti et al, 2012(Moretti et al, , 2015Yamada et al, 2016Yamada et al, , 2018.…”

Section: Introductionmentioning

confidence: 99%

Combining seismic signal dynamic inversion and numerical modeling improves landslide process reconstruction

et al. 2022

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Abstract. Landslides present a significant hazard for humans, but continuous landslide monitoring is not yet possible due to their unpredictability. In recent years, numerical simulation and seismic inversion methods have been used to provide valuable data for understanding the entire process of landslide movement. However, each method has shortcomings. Dynamic inversion based on long-period seismic signals gives the force–time history of a landslide using an empirical Green's function but lacks detailed flowing characteristics for the hazards. Numerical simulation can simulate the entire movement process, but results are strongly influenced by the choice of modeling parameters. Therefore, developing a method for combining those two techniques has become a focus for research in recent years. In this study, we develop such a protocol based on analysis of the 2018 Baige landslide in China. Seismic signal inversion results are used to constrain and optimize the numerical simulation. We apply the procedure to the Baige event and, combined with a field geological survey, show it provides a comprehensive and accurate method for dynamic process reconstruction. We found that the Baige landslide was triggered by detachment of the weathered layer, with severe top fault segmentation. The landslide process comprised four stages: initiation, main slip, blocking, and deposition. Multi-method mutual verification effectively reduces the inherent drawbacks of each method, and multi-method joint analysis improves the rationality and reliability of the results. The approach outlined in this study could help us to better understand the landslide dynamic process.

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Numerical assessment for the efficiencies of check dams in debris flow gullies: A case study

Cited by 23 publications

References 65 publications

Propagation Modeling of Rainfall-Induced Landslides: A Case Study of the Shaziba Landslide in Enshi, China

Propagation Modeling of Rainfall-Induced Landslides: A Case Study of the Shaziba Landslide in Enshi, China

Debris Flow Gully Classification and Susceptibility Assessment Model Construction

Combining seismic signal dynamic inversion and numerical modeling improves landslide process reconstruction

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