Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 24, issue 2
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

Viewed

Total article views: 881 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
654 183 44 881 19 26 32
  • HTML: 654
  • PDF: 183
  • XML: 44
  • Total: 881
  • Supplement: 19
  • BibTeX: 26
  • EndNote: 32
Views and downloads (calculated since 24 Apr 2023)
Cumulative views and downloads (calculated since 24 Apr 2023)

Viewed (geographical distribution)

Total article views: 881 (including HTML, PDF, and XML) Thereof 872 with geography defined and 9 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 May 2024
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint