Study on the relationship between the occurrence of landslide and the cracks at the edge of loess platform

Mingyu Wu,Xiujuan Yang

doi:10.1063/5.0082554

Abstract

A landslide is a kind of geological disaster, which seriously threatens the production and lives of people around it. In collapsible loess areas, landslides occur more frequently. There are many cracks at the edge of the loess platform. This paper studies the relationship between the characteristics of cracks at the edge of the platform and the stability of the loess platform slope through numerical simulation. It is found that some cracks will eventually form a through sliding surface and form a landslide, while some cracks are relatively safe for the time being. According to the calculation results, the statistical formula is obtained to reveal the relationship between them, which is helpful to predict the loess platform landslide according to the cracks at the edge of the tableland in the future.

Highlights

IntroductionLandslides often cause huge losses to production and people’s lives and property and some even cause devastating disasters
Using GeoStudio SLOPE/W software, the safety factor of slope stability was calculated based on the Morgenstern–Price limit equilibrium method to study the influences of different crack depths and distances from cracks to the edge of the loess platform on the stability of the loess slope under different slopes and heights
It was found that the 20 m deep crack near the horizontal distance of 70 m (i.e., 30 m from the platform edge) has played an obvious unloading role; the 20 m deep crack near the horizontal distance of 80 m (i.e., m from the platform edge) has played an obvious unloading role; and the unloading effect of the 5 m deep crack is not obvious at the depth of m from the surface

Summary

Introduction

Landslides often cause huge losses to production and people’s lives and property and some even cause devastating disasters. Landslide researchers generally believe that the material characteristics, such as permeability and strength of the slope body, the change of pore water pressure in the slope body, the surcharge on the top of the slope, and the unloading at the foot of the slope, are the main factors triggering the landslide. In view of these triggering factors, people have thought of many ways to predict landslides. Xiao et al proposed an auxiliary random finite element method for efficient three dimensional slope reliability analysis and risk assessment considering spatial variability of soil properties.. Belle et al proposed an inversion modeling method for predicting the time evolution of landslide movement based on rainfall and displacement velocity. Kirschbaum et al coupled susceptibility with rainfall and soil moisture triggers to estimate potential landslide activity on a regional scale. Arnone et al proposed a new landslide component of the distributed hydrological model to estimate where and when a failure phenomenon could occur. Bednarik and Paudits prepared a landslide susceptibility zoning map to predict landslides by using the unique condition unit combined with a geological map (lithologic unit) and a slope angle map. Xiao et al proposed an auxiliary random finite element method for efficient three dimensional slope reliability analysis and risk assessment considering spatial variability of soil properties. The advanced interferometric synthetic aperture radar technology is commonly used to detect and monitor surface deformation to predict landslides.

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Conclusion