scholarly journals A methodology for near-field tsunami inundation forecasting: Application to the 2011 Tohoku tsunami

2014 ◽  
Vol 119 (11) ◽  
pp. 8186-8206 ◽  
Author(s):  
Aditya Riadi Gusman ◽  
Yuichiro Tanioka ◽  
Breanyn T. MacInnes ◽  
Hiroaki Tsushima
Keyword(s):  
Near Field ◽  
Tsunami Inundation ◽  
2011 Tohoku Tsunami ◽  
Tohoku Tsunami

The 2011 Tohoku Tsunami Flow Velocity Estimation by the Aerial Video Analysis and Numerical Modeling

2013 ◽  
Vol 8 (4) ◽  
pp. 561-572 ◽  
Author(s):  
Satomi Hayashi ◽  
◽  
Shunichi Koshimura ◽  
Keyword(s):  
Numerical Models ◽  
Flow Characteristics ◽  
Velocity Estimation ◽  
Tsunami Inundation ◽  
2011 Tohoku Tsunami ◽  
Miyagi Prefecture ◽  
Tohoku Tsunami ◽  
Post Disaster ◽  
Inundation Model ◽  
Flow Velocities

When a tsunami reaches the coast and penetrates inland, its characteristics change significantly from water wave to strong inundation flow which causes damage on infrastructures, buildings and humans. Measuring flow velocities of tsunami inundation on land is quite rare but is important for understanding how tsunami penetrates inland and improving tsunami numerical models. In order to clarify the tsunami inundation flow characteristics on land with particular regard to velocity, we analyzed the aerial videos which captured the 2011 Tohoku tsunami attacking Sendai coast, Miyagi Prefecture. Consequently, the tsunami front and flow velocities reached approximately 8 m/s within 1 km inland from the shoreline, and they decreased as penetrating more inland. The results were used for verification of the numerical tsunami inundation model that is performed in Sendai city. We found that the present model results are consistent with the observed inundation characteristics when the bottom roughness distribution is sufficiently incorporated according to the land use conditions. This implies the capability of the present tsunami inundation model which is now used for the evaluation of post-disaster reconstruction plan of Sendai city.

Numerical Simulation of the 2011 Tohoku Tsunami Based on a New Transient FEM Co-seismic Source: Comparison to Far- and Near-Field Observations

2012 ◽  
Vol 170 (6-8) ◽  
pp. 1333-1359 ◽  
Author(s):  
Stephan T. Grilli ◽  
Jeffrey C. Harris ◽  
Tayebeh S. Tajalli Bakhsh ◽  
Timothy L. Masterlark ◽  
Christodoulos Kyriakopoulos ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Near Field ◽  
Seismic Source ◽  
Field Observations ◽  
2011 Tohoku Tsunami ◽  
Tohoku Tsunami

Satellite Data for a Rapid Assessment of Tsunami Inundation Areas after the 2011 Tohoku Tsunami

2012 ◽  
Vol 170 (6-8) ◽  
pp. 1067-1080 ◽  
Author(s):  
María Teresa Ramírez-Herrera ◽  
José Antonio Navarrete-Pacheco
Keyword(s):  
Satellite Data ◽  
Rapid Assessment ◽  
Tsunami Inundation ◽  
2011 Tohoku Tsunami ◽  
Tohoku Tsunami

scholarly journals The 2011 Tohoku Tsunami from the Sky: A Review on the Evolution of Artificial Intelligence Methods for Damage Assessment

Geosciences ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 133
Author(s):  
Jérémie Sublime
Keyword(s):  
Artificial Intelligence ◽  
Case Studies ◽  
Damage Assessment ◽  
Structural Damage ◽  
North East ◽  
2011 Tohoku Tsunami ◽  
Artificial Intelligence Methods ◽  
The Future ◽  
Tohoku Tsunami

The Tohoku tsunami was a devastating event that struck North-East Japan in 2011 and remained in the memory of people worldwide. The amount of devastation was so great that it took years to achieve a proper assessment of the economical and structural damage, with the consequences still being felt today. However, this tsunami was also one of the first observed from the sky by modern satellites and aircrafts, thus providing a unique opportunity to exploit these data and train artificial intelligence methods that could help to better handle the aftermath of similar disasters in the future. This paper provides a review of how artificial intelligence methods applied to case studies about the Tohoku tsunami have evolved since 2011. We focus on more than 15 studies that are compared and evaluated in terms of the data they require, the methods used, their degree of automation, their metric performances, and their strengths and weaknesses.

scholarly journals Amplification Mechanisms of The 2011 Tohoku Tsunami in Ryori Bay

2013 ◽  
Vol 69 (2) ◽  
pp. I_171-I_175
Author(s):  
Yusuke YAMANAKA ◽  
Shinji SATO ◽  
Yoshimitsu TAJIMA
Keyword(s):  
2011 Tohoku Tsunami ◽  
Tohoku Tsunami

scholarly journals Machine-learning techniques for geochemical discrimination of 2011 Tohoku tsunami deposits

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Tatsu Kuwatani ◽  
Kenji Nagata ◽  
Masato Okada ◽  
Takahiro Watanabe ◽  
Yasumasa Ogawa ◽  
...  
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Tsunami Deposits ◽  
2011 Tohoku Tsunami ◽  
Learning Techniques ◽  
Tohoku Tsunami

Numerical simulation of sedimentation and erosion caused by the 2011 Tohoku Tsunami in Oarai Port, Japan

2020 ◽  
Vol 427 ◽  
pp. 106225 ◽  
Author(s):  
Yoshiaki Kuriyama ◽  
Yu Chida ◽  
Yoshiyuki Uno ◽  
Kazuhiko Honda
Keyword(s):  
Numerical Simulation ◽  
2011 Tohoku Tsunami ◽  
Tohoku Tsunami
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