Articles | Volume 21, issue 5
https://doi.org/10.5194/nhess-21-1667-2021
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, Hajime Naruse, and Shigehiro Fujino

Related authors

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
Nat. Hazards Earth Syst. Sci., 24, 429–444, https://doi.org/10.5194/nhess-24-429-2024,https://doi.org/10.5194/nhess-24-429-2024, 2024
Short summary

Related subject area

Sea, Ocean and Coastal Hazards
Modelling tsunami initial conditions due to rapid coseismic seafloor displacement: efficient numerical integration and a tool to build unit source databases
Alice Abbate, José M. González Vida, Manuel J. Castro Díaz, Fabrizio Romano, Hafize Başak Bayraktar, Andrey Babeyko, and Stefano Lorito
Nat. Hazards Earth Syst. Sci., 24, 2773–2791, https://doi.org/10.5194/nhess-24-2773-2024,https://doi.org/10.5194/nhess-24-2773-2024, 2024
Short summary
Estuarine hurricane wind can intensify surge-dominated extreme water level in shallow and converging coastal systems
Mithun Deb, James J. Benedict, Ning Sun, Zhaoqing Yang, Robert D. Hetland, David Judi, and Taiping Wang
Nat. Hazards Earth Syst. Sci., 24, 2461–2479, https://doi.org/10.5194/nhess-24-2461-2024,https://doi.org/10.5194/nhess-24-2461-2024, 2024
Short summary
Revisiting regression methods for estimating long-term trends in sea surface temperature
Ming-Huei Chang, Yen-Chen Huang, Yu-Hsin Cheng, Chuen-Teyr Terng, Jinyi Chen, and Jyh Cherng Jan
Nat. Hazards Earth Syst. Sci., 24, 2481–2494, https://doi.org/10.5194/nhess-24-2481-2024,https://doi.org/10.5194/nhess-24-2481-2024, 2024
Short summary
Global application of a regional frequency analysis to extreme sea levels
Thomas P. Collings, Niall D. Quinn, Ivan D. Haigh, Joshua Green, Izzy Probyn, Hamish Wilkinson, Sanne Muis, William V. Sweet, and Paul D. Bates
Nat. Hazards Earth Syst. Sci., 24, 2403–2423, https://doi.org/10.5194/nhess-24-2403-2024,https://doi.org/10.5194/nhess-24-2403-2024, 2024
Short summary
Tsunami hazard assessment in the South China Sea based on geodetic locking of the Manila subduction zone
Guangsheng Zhao and Xiaojing Niu
Nat. Hazards Earth Syst. Sci., 24, 2303–2313, https://doi.org/10.5194/nhess-24-2303-2024,https://doi.org/10.5194/nhess-24-2303-2024, 2024
Short summary

Cited articles

Abdi, H. and Williams, L. J.: Jackknife, in: Salkind, N., Encyclopedia of Research Design, Thousand Oaks, CA, Sage, 655–660, https://doi.org/10.4135/9781412961288, 2010. a
Abe, T., Goto, K., and Sugawara, D.: Relationship between the maximum extent of tsunami sand and the inundation limit of the 2011 Tohoku-oki tsunami on the Sendai Plain, Japan, Sediment. Geol., 282, 142–150, 2012. a
Andrade, V., Rajendran, K., and Rajendran, C.: Sheltered coastal environments as archives of paleo-tsunami deposits: Observations from the 2004 Indian Ocean tsunami, J. Asian Earth Sci., 95, 331–341, 2014. a
Brill, D.: The Tsunami History of Southwest Thailand: Recurrence, Magnitude and Impact of Palaeo-tsunamis Inferred from Onshore Deposits, PhD thesis, Universitäts-und Stadtbibliothek Köln, Köln, 2012. a
Brill, D., Klasen, N., Brückner, H., Jankaew, K., Scheffers, A., Kelletat, D., and Scheffers, S.: OSL dating of tsunami deposits from Phra Thong Island, Thailand, Quat. Geochronol., 10, 224–229, 2012a. a
Download
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.
Altmetrics
Final-revised paper
Preprint