Optimal probabilistic placement of facilities using a surrogate model for 3D tsunami simulations

Tozato, Kenta; Moriguchi, Shuji; Takase, Shinsuke; Otake, Yu; Motley, Michael R.; Suppasri, Anawat; Terada, Kenjiro

doi:https://doi.org/10.5194/nhess-23-1891-2023

Articles | Volume 23, issue 5

https://doi.org/10.5194/nhess-23-1891-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-23-1891-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 5

Research article

|

25 May 2023

Research article |

| 25 May 2023

Optimal probabilistic placement of facilities using a surrogate model for 3D tsunami simulations

Kenta Tozato, Shuji Moriguchi, Shinsuke Takase, Yu Otake, Michael R. Motley, Anawat Suppasri, and Kenjiro Terada

Data sets

K-Tozato/3D_tsunami_simulation: (Dataset_for_NHESS) K. Tozato https://doi.org/10.5281/zenodo.6394294

Short summary

This study presents a framework that efficiently investigates the optimal placement of facilities probabilistically based on advanced numerical simulation. Surrogate models for the numerical simulation are constructed using a mode decomposition technique. Monte Carlo simulations using the surrogate models are performed to evaluate failure probabilities. Using the results of the Monte Carlo simulations and the genetic algorithm, optimal placements can be investigated probabilistically.