Articles | Volume 21, issue 5
Nat. Hazards Earth Syst. Sci., 21, 1667–1683, 2021
https://doi.org/10.5194/nhess-21-1667-2021
Nat. Hazards Earth Syst. Sci., 21, 1667–1683, 2021
https://doi.org/10.5194/nhess-21-1667-2021

Research article 31 May 2021

Research article | 31 May 2021

Reconstruction of flow conditions from 2004 Indian Ocean tsunami deposits at the Phra Thong island using a deep neural network inverse model

Rimali Mitra et al.

Data sets

DNN inverse model of 2004 IOT, Thailand Version 2.0 R. Mitra, H. Naruse, and S. Fujino https://doi.org/10.5281/zenodo.4744889

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Short summary
A case study on the 2004 Indian Ocean tsunami was conducted at the Phra Thong island, Thailand, using a deep neural network (DNN) inverse model. The model estimated tsunami characteristics from the deposits at Phra Thong island. The uncertainty quantification of the result was evaluated. The predicted flow conditions and the depositional characteristics were compared with the reported observed values. This DNN model can serve as an essential tool for tsunami hazard mitigation at coastal cities.
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