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Numerical experiments on tsunami flow depth prediction for clustered areas using regression and machine learning models

Abstract Emergency responses during a massive tsunami disaster require information on the flow depth of land for rescue operations. This study aims to predict tsunami flow depth distribution in real time using regression and machine learning. Training data of 3480 earthquake-induced tsunamis in the...

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Autori principali: Masato Kamiya, Yasuhiko Igarashi, Masato Okada, Toshitaka Baba
Natura: Artigo
Lingua:Inglês
Pubblicazione: SpringerOpen 2022-08-01
Serie:Earth, Planets and Space
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Accesso online:https://doi.org/10.1186/s40623-022-01680-9
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