Prediction of landslide tsunami run-up on a plane beach through feature selected MLP-based model

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dc.authoridAydin, Baran/0000-0001-7838-3708
dc.authoridAcikkar, Mustafa/0000-0001-8888-4987
dc.contributor.authorAydin, Baran
dc.contributor.authorYaguzluk, Sava
dc.contributor.authorAcikkar, Mustafa
dc.date.accessioned2025-01-06T17:43:24Z
dc.date.available2025-01-06T17:43:24Z
dc.date.issued2024
dc.description.abstractWe proposed new prediction models based on multilayer perceptron (MLP) which successfully predict the maximum run-up of landslide -generated tsunami waves and assess the role of parameters affecting it. The input is approximately 55,0 0 0 rows of data generated through an analytical solution employing slide's cross section, initial submergence, vertical thickness, horizontal length, beach slope angle and the maximum run-up itself, along with its occurrence time. The parameters are first ranked through a feature selection algorithm and six models are constructed for a 9,0 0 0 -row randomly sampled dataset. These MLP-based models led predictions with a minimum Mean Absolute Percentage Error of 1.1% and revealed that vertical slide thickness has the largest impact on the maximum tsunami run-up, whereas beach slope angle has minimal effect. Com parison with existing literature showed the reliability and applicability of the offered models. The methodology introduced here can be suggested as fast and flexible method for prediction of landslide -induced tsunami run-up. (c) 2022 Shanghai Jiaotong University. Published by Elsevier B.V. This is an open access article under the CC BY -NC -ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
dc.identifier.doi10.1016/j.joes.2022.05.007
dc.identifier.endpage231
dc.identifier.issn2468-0133
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85130382299
dc.identifier.scopusqualityQ1
dc.identifier.startpage222
dc.identifier.urihttps://doi.org/10.1016/j.joes.2022.05.007
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2660
dc.identifier.volume9
dc.identifier.wosWOS:001247497300001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofJournal of Ocean Engineering and Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectLandslide tsunami
dc.subjectMaximum run-up
dc.subjectArtificial neural networks
dc.subjectFeature selection
dc.titlePrediction of landslide tsunami run-up on a plane beach through feature selected MLP-based model
dc.typeArticle

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