Assessment of probability of failure on rainfall-induced shallow landslides at slope scale using a physical-based model and fuzzy point estimate method

Shallow hillslope failure caused by rainfall is characterized by complex soil hydrology and mechanical behavior. It is important to understand the hydraulic behavior of hillslopes and quantify the effect of the uncertainty of mechanical parameters on hillslope stability for forewarning and hillslope...

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Main Authors: Ya-Sin Yang, Hsin-Fu Yeh, Chien-Chung Ke, Nai-Chin Chen, Kuo-Chin Chang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Earth Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2022.957506/full
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author Ya-Sin Yang
Hsin-Fu Yeh
Chien-Chung Ke
Nai-Chin Chen
Kuo-Chin Chang
author_facet Ya-Sin Yang
Hsin-Fu Yeh
Chien-Chung Ke
Nai-Chin Chen
Kuo-Chin Chang
author_sort Ya-Sin Yang
collection DOAJ
description Shallow hillslope failure caused by rainfall is characterized by complex soil hydrology and mechanical behavior. It is important to understand the hydraulic behavior of hillslopes and quantify the effect of the uncertainty of mechanical parameters on hillslope stability for forewarning and hillslope management. Intra-hole deformation and displacement were record for the hillslope of the Babaoliao collapse site in the Chiayi County, as a case study. The fuzzy point estimation method and physical-based model were combined with the local factor of safety (LFS) theory to calculate the internal local factor of safety of the hillslope. A reliability analysis was then performed to determine the failure probability at different depths. Historical rainfall events were used to validate the model and predict the development of the failure probability for different rainfall patterns with the same warning rainfall. The results revealed that the failure probability model could effectively predict the area of hillslope instability and its changes over time and space. Different rainfall patterns affected the infiltration flux, leading to the difference in hillslope failure time. The delayed rainfall pattern had a significant impact on the time of slope instability, and shallow collapse was most likely to occur earlier. This study can be used as a reference for developing future hillslope warnings.
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spelling doaj.art-09554eb8697a4241be6ebf78d3d3b2ec2022-12-22T04:30:42ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632022-09-011010.3389/feart.2022.957506957506Assessment of probability of failure on rainfall-induced shallow landslides at slope scale using a physical-based model and fuzzy point estimate methodYa-Sin Yang0Hsin-Fu Yeh1Chien-Chung Ke2Nai-Chin Chen3Kuo-Chin Chang4Department of Resources Engineering, National Cheng Kung University, Tainan, TaiwanDepartment of Resources Engineering, National Cheng Kung University, Tainan, TaiwanGeotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, TaiwanGeotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, TaiwanNantou Branch, Soil and Water Conservation Bureau, Council of Agriculture, Executive Yuan, Nantou, TaiwanShallow hillslope failure caused by rainfall is characterized by complex soil hydrology and mechanical behavior. It is important to understand the hydraulic behavior of hillslopes and quantify the effect of the uncertainty of mechanical parameters on hillslope stability for forewarning and hillslope management. Intra-hole deformation and displacement were record for the hillslope of the Babaoliao collapse site in the Chiayi County, as a case study. The fuzzy point estimation method and physical-based model were combined with the local factor of safety (LFS) theory to calculate the internal local factor of safety of the hillslope. A reliability analysis was then performed to determine the failure probability at different depths. Historical rainfall events were used to validate the model and predict the development of the failure probability for different rainfall patterns with the same warning rainfall. The results revealed that the failure probability model could effectively predict the area of hillslope instability and its changes over time and space. Different rainfall patterns affected the infiltration flux, leading to the difference in hillslope failure time. The delayed rainfall pattern had a significant impact on the time of slope instability, and shallow collapse was most likely to occur earlier. This study can be used as a reference for developing future hillslope warnings.https://www.frontiersin.org/articles/10.3389/feart.2022.957506/fullshallow landslidefuzzy point estimation methodphysical-based modellocal factor of safetyfailure probability
spellingShingle Ya-Sin Yang
Hsin-Fu Yeh
Chien-Chung Ke
Nai-Chin Chen
Kuo-Chin Chang
Assessment of probability of failure on rainfall-induced shallow landslides at slope scale using a physical-based model and fuzzy point estimate method
Frontiers in Earth Science
shallow landslide
fuzzy point estimation method
physical-based model
local factor of safety
failure probability
title Assessment of probability of failure on rainfall-induced shallow landslides at slope scale using a physical-based model and fuzzy point estimate method
title_full Assessment of probability of failure on rainfall-induced shallow landslides at slope scale using a physical-based model and fuzzy point estimate method
title_fullStr Assessment of probability of failure on rainfall-induced shallow landslides at slope scale using a physical-based model and fuzzy point estimate method
title_full_unstemmed Assessment of probability of failure on rainfall-induced shallow landslides at slope scale using a physical-based model and fuzzy point estimate method
title_short Assessment of probability of failure on rainfall-induced shallow landslides at slope scale using a physical-based model and fuzzy point estimate method
title_sort assessment of probability of failure on rainfall induced shallow landslides at slope scale using a physical based model and fuzzy point estimate method
topic shallow landslide
fuzzy point estimation method
physical-based model
local factor of safety
failure probability
url https://www.frontiersin.org/articles/10.3389/feart.2022.957506/full
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