Understanding flow characteristics from tsunami deposits at Odaka, Joban Coast, using a deep neural network (DNN) inverse model

Mitra, Rimali; Naruse, Hajime; Abe, Tomoya

doi:https://doi.org/10.5194/nhess-24-429-2024

Articles | Volume 24, issue 2

https://doi.org/10.5194/nhess-24-429-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-24-429-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 2

Research article

|

08 Feb 2024

Research article |

| 08 Feb 2024

Understanding flow characteristics from tsunami deposits at Odaka, Joban Coast, using a deep neural network (DNN) inverse model

Rimali Mitra, Hajime Naruse, and Tomoya Abe

Supplement

https://doi.org/10.5194/nhess-24-429-2024-supplement

Data sets

Odaka_DNN_inverse_2011_tsunami: DNN inverse model for 2011 Tohoku-oki tsunami at Odaka, Japan Rimali Mitra et al. https://doi.org/10.5281/zenodo.4764153

Columnar sections and field photographs Rimali Mitra et al. https://zenodo.org/doi/10.5281/zenodo.10027887

Model code and software

DNN inverse model for 2011 Tohoku-oki tsunami at Odaka, Japan Rimali Mitra et al. https://doi.org/10.5281/zenodo.4764153

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Short summary

This study estimates the behavior of the 2011 Tohoku-oki tsunami from its deposit distributed in the Joban coastal area. In this study, the flow characteristics of the tsunami were reconstructed using the DNN (deep neural network) inverse model, suggesting that the tsunami inundation occurred in the very high-velocity condition.