Hazard Assessment Based on the Combination of DAN3D and Machine Learning Method for Planning Closed-Type Barriers against Debris-Flow

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dc.contributor.authorCheon, Enokko
dc.contributor.authorLee, Seung-Raeko
dc.contributor.authorLee, Deuk-Hwanko
dc.date.accessioned2020-04-17T04:20:06Z-
dc.date.available2020-04-17T04:20:06Z-
dc.date.created2020-01-29-
dc.date.created2020-01-29-
dc.date.issued2020-01-
dc.identifier.citationWATER, v.12, no.1, pp.170-
dc.identifier.issn2073-4441-
dc.identifier.urihttp://hdl.handle.net/10203/273915-
dc.description.abstractIf a slope located near a densely populated region is susceptible to debris-flow hazards, barriers are used as a mitigation method by placing them in flow channels; i.e., flowpaths. Selecting the location and the design of a barrier requires hazard assessment to determine the width, volume, and impact pressure of debris-flow at the moment of collision. DAN3D (Three-Dimensional Dynamic Analysis), a 3D numerical model for simulating debris-flow, has been widely used to perform hazard assessment; however, solely using DAN3D would be both insufficient and inefficient in finding the optimal barrier location. Therefore, the present study developed a framework that interprets the results from DAN3D simulation without considering any barriers. Then, the framework generates hazard assessment maps showing the impact parameters of debris-flow along the flowpath by various algorithms and machine learning methods, such as the k-means clustering algorithm, and also computes the width of the debris-flow, which is not explicitly calculated in DAN3D. A case study of the debris-flow at Umyeon mountain, Korea, in 2011, was used to generate hazard assessment maps. The maps were demonstrated to be a tool to quickly compute the impact parameters for conceptual barrier design with the aim of finding potential barrier locations.-
dc.languageEnglish-
dc.publisherMDPI AG-
dc.titleHazard Assessment Based on the Combination of DAN3D and Machine Learning Method for Planning Closed-Type Barriers against Debris-Flow-
dc.typeArticle-
dc.identifier.wosid000519847200170-
dc.identifier.scopusid2-s2.0-85079501195-
dc.type.rimsART-
dc.citation.volume12-
dc.citation.issue1-
dc.citation.beginningpage170-
dc.citation.publicationnameWATER-
dc.identifier.doi10.3390/w12010170-
dc.contributor.localauthorLee, Seung-Rae-
dc.description.isOpenAccessY-
dc.type.journalArticleArticle-
dc.subject.keywordAuthordebris flow-
dc.subject.keywordAuthorDAN3D-
dc.subject.keywordAuthorbarrier-
dc.subject.keywordAuthorhazard assessment-
dc.subject.keywordAuthormachine learning-
dc.subject.keywordAuthorUmyeon mountain 2011-
dc.subject.keywordPlusCHECK DAMS-
dc.subject.keywordPlusRUNOUT ANALYSIS-
dc.subject.keywordPlusMANAGEMENT-
dc.subject.keywordPlusDAMAGE-
dc.subject.keywordPlusMODEL-
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CE-Journal Papers(저널논문)
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