Thickness and grain-size distribution of Indian Ocean tsunami deposits at Khao Lak and Phra Thong Island, South-Western Thailand

Tsunamiites ◽  
2008 ◽  
pp. 145-153
Author(s):  
S. Fujino ◽  
H. Naruse ◽  
A. Suphawajruksakul ◽  
T. Jarupongsakul ◽  
M. Murayama ◽  
...  
Keyword(s):  
Grain Size ◽  
Indian Ocean ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Indian Ocean Tsunami ◽  
Tsunami Deposits

Thickness and grain-size distribution of the 2004 Indian Ocean tsunami deposits in Periya Kalapuwa Lagoon, eastern Sri Lanka

2010 ◽  
Vol 230 (3-4) ◽  
pp. 95-104 ◽  
Author(s):  
Dan Matsumoto ◽  
Toshihiko Shimamoto ◽  
Takehiro Hirose ◽  
Jagath Gunatilake ◽  
Ashvin Wickramasooriya ◽  
...  
Keyword(s):  
Grain Size ◽  
Sri Lanka ◽  
Indian Ocean ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Indian Ocean Tsunami ◽  
Tsunami Deposits ◽  
2004 Indian Ocean Tsunami

THICKNESS AND GRAIN-SIZE DISTRIBUTION OF INDIAN OCEAN TSUNAMI DEPOSITS AT KHAO LAK AND PHRA THONG ISLAND, SOUTH-WESTERN THAILAND

Tsunamiites ◽  
2008 ◽  
pp. 123-132 ◽  
Author(s):  
S. Fujino ◽  
H. Naruse ◽  
A. Suphawajruksakul ◽  
T. Jarupongsakul ◽  
M. Murayama ◽  
...  
Keyword(s):  
Grain Size ◽  
Indian Ocean ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Indian Ocean Tsunami ◽  
Tsunami Deposits

scholarly journals Reconstruction of flow conditions from 2004 Indian Ocean tsunami deposits at the Phra Thong island using a deep neural network inverse model

2021 ◽  
Vol 21 (5) ◽  
pp. 1667-1683
Author(s):  
Rimali Mitra ◽  
Hajime Naruse ◽  
Shigehiro Fujino
Keyword(s):  
Neural Network ◽  
Grain Size ◽  
Indian Ocean ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Deep Neural Network ◽  
Inverse Model ◽  
Indian Ocean Tsunami ◽  
Flow Conditions ◽  
2004 Indian Ocean Tsunami

Abstract. The 2004 Indian Ocean tsunami caused significant economic losses and a large number of fatalities in the coastal areas. The estimation of tsunami flow conditions using inverse models has become a fundamental aspect of disaster mitigation and management. Here, a case study involving the Phra Thong island, which was affected by the 2004 Indian Ocean tsunami, in Thailand was conducted using inverse modeling that incorporates a deep neural network (DNN). The DNN inverse analysis reconstructed the values of flow conditions such as maximum inundation distance, flow velocity and maximum flow depth, as well as the sediment concentration of five grain-size classes using the thickness and grain-size distribution of the tsunami deposit from the post-tsunami survey around Phra Thong island. The quantification of uncertainty was also reported using the jackknife method. Using other previous models applied to areas in and around Phra Thong island, the predicted flow conditions were compared with the reported observed values and simulated results. The estimated depositional characteristics such as volume per unit area and grain-size distribution were in line with the measured values from the field survey. These qualitative and quantitative comparisons demonstrated that the DNN inverse model is a potential tool for estimating the physical characteristics of modern tsunamis.

Sediment sources and sedimentation processes of 2011 Tohoku-oki tsunami deposits on the Sendai Plain, Japan — Insights from diatoms, nannoliths and grain size distribution

2012 ◽  
Vol 282 ◽  
pp. 40-56 ◽  
Author(s):  
Witold Szczuciński ◽  
Mikołaj Kokociński ◽  
Michał Rzeszewski ◽  
Catherine Chagué-Goff ◽  
Mario Cachão ◽  
...  
Keyword(s):  
Grain Size ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Sediment Sources ◽  
Tsunami Deposits ◽  
Sendai Plain ◽  
Sedimentation Processes

Flume experiments test grain-size distribution of onshore tsunami deposits

2020 ◽  
Vol 407 ◽  
pp. 105750
Author(s):  
Tetsuya Shinozaki ◽  
Naofumi Yamaguchi ◽  
Tomohiro Sekiguchi
Keyword(s):  
Grain Size ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Tsunami Deposits ◽  
Flume Experiments

scholarly journals Indian Ocean tsunami deposits along the West Coast of the Malay-Thai Peninsula: foraminiferal and grain size analysis

2006 ◽  
Vol 29 (1) ◽  
pp. 420-421
Author(s):  
Andrea D Hawkes ◽  
Micheal Bird ◽  
Susan Cowie ◽  
Benjamin Horton ◽  
Jonathan Nott ◽  
...  
Keyword(s):  
Grain Size ◽  
Indian Ocean ◽  
West Coast ◽  
Indian Ocean Tsunami ◽  
Grain Size Analysis ◽  
Size Analysis ◽  
Tsunami Deposits ◽  
The West
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