The Effect of Surface Layer Thickness in a Wide-Area Simulation in Different Models: Susceptibility Mapping of Rainfall-Induced Landslide

Abstract

In recent years, sediment disaster has frequently been caused by heavy rainfall and has cost many human lives and great property losses. To estimate such risks, Wakai et al. [1] proposed a simplified prediction method to calculate the variation of groundwater levels in natural slopes both at the time of rainfall in wide areas and in real time. To calculate the variation of groundwater levels using this method, the slope conditions (such as material constant and initial conditions) must be determined in advance. This study takes the 2017 heavy rainfall in Northern Kyushu as an example to analyze surface layer thickness, one of the slope conditions that most significantly influences slope stability, over wide areas. The findings reveal that the prediction of slope failure distribution differs depending on how the surface layer thickness and sliding surface are determined.

Safety Factors Investigation Based on FEM and LEM Approach in Toll Road Embankment Slope

“…The relationship between embankment height and SF in The SF regarding groundwater levels was also discovered to be lowest in Type 1 of all models while Type 3 had the highest value. According to Akino [33], the prediction of slope failure distribution varies based on the calculation of the surface saturated soil thickness and sliding surface. The probabilistic analysis was also reported to have provided an insight into SF concerning slope design from groundwater level modifications [34].…”