Journal of Disaster Research
Online ISSN : 1883-8030
Print ISSN : 1881-2473
ISSN-L : 1881-2473
Special Issue on e-ASIA JRP: Development of a Landslide Monitoring and Prediction System in Monsoon Asia
The Effect of Surface Layer Thickness in a Wide-Area Simulation in Different Models: Susceptibility Mapping of Rainfall-Induced Landslide
Akino WatanabeAkihiko WakaiTakatsugu OzakiThang Van NguyenTakashi KimuraGo SatoKazunori HayashiNanaha Kitamura
著者情報
ジャーナル オープンアクセス

2021 年 16 巻 4 号 p. 636-645

詳細
抄録

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.

著者関連情報

この記事は最新の被引用情報を取得できません。

© 2021 Fuji Technology Press Ltd.

This article is licensed under a Creative Commons [Attribution-NoDerivatives 4.0 International] license (https://creativecommons.org/licenses/by-nd/4.0/).
The journal is fully Open Access under Creative Commons licenses and all articles are free to access at JDR Official Site.
https://www.fujipress.jp/jdr/dr-about/
前の記事 次の記事
feedback
Top