Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 23, issue 5
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

Viewed

Total article views: 1,512 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,073 373 66 1,512 51 50
  • HTML: 1,073
  • PDF: 373
  • XML: 66
  • Total: 1,512
  • BibTeX: 51
  • EndNote: 50
Views and downloads (calculated since 01 Aug 2022)
Cumulative views and downloads (calculated since 01 Aug 2022)

Viewed (geographical distribution)

Total article views: 1,512 (including HTML, PDF, and XML) Thereof 1,450 with geography defined and 62 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint