Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 22, issue 4
Articles | Volume 22, issue 4
https://doi.org/10.5194/nhess-22-1267-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-1267-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 4
Research article
 | 
11 Apr 2022
Research article |  | 11 Apr 2022

Rapid tsunami force prediction by mode-decomposition-based surrogate modeling

Kenta Tozato, Shinsuke Takase, Shuji Moriguchi, Kenjiro Terada, Yu Otake, Yo Fukutani, Kazuya Nojima, Masaaki Sakuraba, and Hiromu Yokosu

Viewed

Total article views: 4,221 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,519 1,605 97 4,221 110 109 115
  • HTML: 2,519
  • PDF: 1,605
  • XML: 97
  • Total: 4,221
  • Supplement: 110
  • BibTeX: 109
  • EndNote: 115
Views and downloads (calculated since 07 May 2021)
Cumulative views and downloads (calculated since 07 May 2021)

Viewed (geographical distribution)

Total article views: 4,221 (including HTML, PDF, and XML) Thereof 4,041 with geography defined and 180 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Mar 2026
Download
Short summary
This study presents a novel framework for rapid tsunami force predictions through the application of mode-decomposition-based surrogate modeling with 2D–3D coupled numerical simulations. A numerical example is presented to demonstrate the applicability of the proposed framework to one of the tsunami-affected areas during the Great East Japan Earthquake of 2011.
Read more
Share
Altmetrics
Final-revised paper
Preprint