1. The Effect of Surface Layer Thickness in a Wide-Area Simulation in Different Models: Susceptibility Mapping of Rainfall-Induced Landslide
- Author
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Akihiko Wakai, Akino Watanabe, Thang Van Nguyen, Kazunori Hayashi, Go Sato, Takashi Kimura, Nanaha Kitamura, and Takatsugu Ozaki
- Subjects
021110 strategic, defence & security studies ,Computer simulation ,05 social sciences ,0211 other engineering and technologies ,0507 social and economic geography ,Landslide ,02 engineering and technology ,Slope failure ,Wide area ,Surface layer ,Safety, Risk, Reliability and Quality ,Seepage flow ,050703 geography ,Engineering (miscellaneous) ,Geomorphology ,Slope stability analysis ,Geology - 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.
- Published
- 2021
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