Coastal tsunami prediction in Tohoku region, Japan, based on S-net observations using artificial neural network

Abstract We present a novel method for coastal tsunami prediction utilizing a denoising autoencoder (DAE) model, one of the deep learning algorithms. Our study focuses on the Tohoku coast, Japan, where dense offshore bottom pressure gauges (OBPGs), called S-net, are installed. To train the model, we...

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Autori principali:	Yuchen Wang, Kentaro Imai, Takuya Miyashita, Keisuke Ariyoshi, Narumi Takahashi, Kenji Satake
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	SpringerOpen 2023-10-01
Serie:	Earth, Planets and Space
Soggetti:	Tsunami early warning Denoising autoencoder model Offshore bottom pressure gauge 2016 Fukushima tsunami 2022 Tonga volcanic tsunami
Accesso online:	https://doi.org/10.1186/s40623-023-01912-6
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