Application Assessments of Using Scarp Boundary-Fitted, Volume Constrained, Smooth Minimal Surfaces as Failure Interfaces of Deep-Seated Landslides

More than 9,000 potential deep-seated landslide sites in the mountain ranges of Taiwan have been identified by a series of renewed governmental hazard mitigation initiatives after the 2009 Morakot typhoon. Among these sites, 186 sites have protection targets where thorough mitigation strategies are...

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Main Authors: Chih-Yu Kuo, Pi-Wen Tsai, Yih-Chin Tai, Ya-Hsin Chan, Rou-Fei Chen, Ching-Weei Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Earth Science
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/feart.2020.00211/full
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author Chih-Yu Kuo
Pi-Wen Tsai
Yih-Chin Tai
Ya-Hsin Chan
Rou-Fei Chen
Ching-Weei Lin
author_facet Chih-Yu Kuo
Pi-Wen Tsai
Yih-Chin Tai
Ya-Hsin Chan
Rou-Fei Chen
Ching-Weei Lin
author_sort Chih-Yu Kuo
collection DOAJ
description More than 9,000 potential deep-seated landslide sites in the mountain ranges of Taiwan have been identified by a series of renewed governmental hazard mitigation initiatives after the 2009 Morakot typhoon. Among these sites, 186 sites have protection targets where thorough mitigation strategies are to be implemented. One of the important tasks in the hazard mitigation initiative is to estimate the volume, failure interface and related quantities of each landslide site. In addition, with this number of sites, an automated tool is needed to generate predictions at low operational costs. We propose to use volume-constrained smooth minimal surfaces to approximate the landslide failure interfaces. A volume-constrained smooth minimal surface in the current context is defined as a differentiable surface that encloses a given landslide volume with the minimal surface area. Although the stratigraphy and geological structures are omitted, the smooth minimal surface method is verified with 24 known landslides and is shown to be able to generate acceptable, approximated failure interfaces. A collection of assessment indices is employed to measure the fitness of the predictions. Finally, the prediction fitness vs. the landslide scarp geometry is investigated.
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spelling doaj.art-cc675e83878e4c7cbd1d986f915b9ad92022-12-22T01:32:27ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632020-07-01810.3389/feart.2020.00211537710Application Assessments of Using Scarp Boundary-Fitted, Volume Constrained, Smooth Minimal Surfaces as Failure Interfaces of Deep-Seated LandslidesChih-Yu Kuo0Pi-Wen Tsai1Yih-Chin Tai2Ya-Hsin Chan3Rou-Fei Chen4Ching-Weei Lin5Research Center for Applied Sciences, Academia Sinica, Taipei, TaiwanDepartment of Mathematics, National Taiwan Normal University, Taipei, TaiwanDepartment of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, TaiwanResearch Center for Applied Sciences, Academia Sinica, Taipei, TaiwanDepartment of Geology, Chinese Culture University, Taipei, TaiwanDepartment of Earth Sciences, National Cheng Kung University, Tainan, TaiwanMore than 9,000 potential deep-seated landslide sites in the mountain ranges of Taiwan have been identified by a series of renewed governmental hazard mitigation initiatives after the 2009 Morakot typhoon. Among these sites, 186 sites have protection targets where thorough mitigation strategies are to be implemented. One of the important tasks in the hazard mitigation initiative is to estimate the volume, failure interface and related quantities of each landslide site. In addition, with this number of sites, an automated tool is needed to generate predictions at low operational costs. We propose to use volume-constrained smooth minimal surfaces to approximate the landslide failure interfaces. A volume-constrained smooth minimal surface in the current context is defined as a differentiable surface that encloses a given landslide volume with the minimal surface area. Although the stratigraphy and geological structures are omitted, the smooth minimal surface method is verified with 24 known landslides and is shown to be able to generate acceptable, approximated failure interfaces. A collection of assessment indices is employed to measure the fitness of the predictions. Finally, the prediction fitness vs. the landslide scarp geometry is investigated.https://www.frontiersin.org/article/10.3389/feart.2020.00211/fulldeep-seated landslidelandslide volume-area relationlandslide failure surface predictionFreeFem++ IpOPTfailure surface accuracy assessment
spellingShingle Chih-Yu Kuo
Pi-Wen Tsai
Yih-Chin Tai
Ya-Hsin Chan
Rou-Fei Chen
Ching-Weei Lin
Application Assessments of Using Scarp Boundary-Fitted, Volume Constrained, Smooth Minimal Surfaces as Failure Interfaces of Deep-Seated Landslides
Frontiers in Earth Science
deep-seated landslide
landslide volume-area relation
landslide failure surface prediction
FreeFem++ IpOPT
failure surface accuracy assessment
title Application Assessments of Using Scarp Boundary-Fitted, Volume Constrained, Smooth Minimal Surfaces as Failure Interfaces of Deep-Seated Landslides
title_full Application Assessments of Using Scarp Boundary-Fitted, Volume Constrained, Smooth Minimal Surfaces as Failure Interfaces of Deep-Seated Landslides
title_fullStr Application Assessments of Using Scarp Boundary-Fitted, Volume Constrained, Smooth Minimal Surfaces as Failure Interfaces of Deep-Seated Landslides
title_full_unstemmed Application Assessments of Using Scarp Boundary-Fitted, Volume Constrained, Smooth Minimal Surfaces as Failure Interfaces of Deep-Seated Landslides
title_short Application Assessments of Using Scarp Boundary-Fitted, Volume Constrained, Smooth Minimal Surfaces as Failure Interfaces of Deep-Seated Landslides
title_sort application assessments of using scarp boundary fitted volume constrained smooth minimal surfaces as failure interfaces of deep seated landslides
topic deep-seated landslide
landslide volume-area relation
landslide failure surface prediction
FreeFem++ IpOPT
failure surface accuracy assessment
url https://www.frontiersin.org/article/10.3389/feart.2020.00211/full
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