A Method for Estimating the Reflected Tsunami Inundation Depth at the Front of an RC Building with an Aperture

Author(s):  
H. Matsutomi
2006 ◽  
Vol 1 (1) ◽  
pp. 148-156 ◽  
Author(s):  
Tetsuya Hiraishi ◽  
◽  
Tomohiro Yasuda ◽  

The population and property in urban areas facing waterfronts is rapidly increasing together with the probability that a huge tsunami will occur on the Pacific Rim. The huge potential damage reflects the need to develop a highly accurate simulation model for tsunami inundation to help mitigate tsunami effects. We developed a simulation model to estimate the inundation depth and speed of tsunamis in urban areas. The model was applied to calculate the vari- ation of inundation areas in a model city facing Tokyo Bay. Experiments of tsunami inundation in the model city on a 1/50 scale was carried out for validation of the numerical model.


2020 ◽  
Author(s):  
Yo Fukutani

<p>For a probabilistic tsunami risk assessment of multiple sites, it is important to consider the spatial correlation between tsunami inundation depth and the sites because it affects the aggregated probability distribution of site damages. Various uncertainties such as ground motion, building response characteristics, and material strength are considered in the probabilistic seismic risk assessment. However, any research that evaluates the spatial correlation characteristics of tsunamis is yet to be reported. In this study, we evaluate the macro spatial correlation coefficient of the tsunami inundation depth according to the relative distance in the tsunami run-up region. We firstly constructed the fault parameters of the Sagami trough earthquake which has a large slip off the Kanto area in Japan. The moment magnitude of the earthquake is 8.7, and there are 6,149 small faults. Using the initial water level calculated from the earthquake parameters as input data, we solved the continuous equation and 2D linear long wave equation, targeting Zushi city, Kanagawa Prefecture. The maximum tsunami inundation depth was 8.71 m. We regressed the exponential function (<em>ρ(x) = aexp(bx) + cexp(dx)</em>) for the relationship between the distance from the coastline and the tsunami inundation depth. As a result, we obtained an evaluation formula with a relatively high accuracy. The coefficient were a = 0.4555, b = −0.1653, c = 0.5434, d = −0.007345 and the determination coefficient was 0.992. The results of this study can be used for a probabilistic tsunami risk assessment for multiple sites.</p>


2012 ◽  
Vol 7 (sp) ◽  
pp. 476-484 ◽  
Author(s):  
Takaaki Uda ◽  
◽  
Kazuya Sakai ◽  
Yukiyoshi Hoshigami ◽  
Yasuhito Noshi ◽  
...  

The massive earthquake with a magnitude of 9.0 occurred at 14:46 on March 11, 2011, with an epicenter 130 km offshore from the Oshika Peninsula in Japan’s northeastern Miyagi Prefecture. After the earthquake, large tsunamis were generated owing to abrupt crustal subsidence and uplift, which inundated Japan’s eastern Pacific Ocean coastline. We carried out field observations to investigate the deformation of a previous river-mouth bar by comparing oblique photographs, and investigated the damage to seawalls and the tsunami inundation depth on the Iwama-Sanuka coast, located north of the Same River in southern Fukushima Prefecture. Here, the results of the field observations on the deformation of the sandy beach and the inundation of the Iwama-Sanuka coast are reported.


2009 ◽  
Vol 4 (6) ◽  
pp. 479-488 ◽  
Author(s):  
Shunichi Koshimura ◽  
◽  
Yuichi Namegaya ◽  
Hideaki Yanagisawa ◽  
◽  
...  

Tsunami fragility (fragility curve, or fragility function) is a new measure, we propose, for estimating structural damage and fatalities due to tsunami attack, by integrating satellite remote sensing, field survey, numerical modeling, and historical data analysis with geographic information system (GIS). Tsunami fragility is expressed as the structural damage probability or fatality ratio related to hydrodynamic features of tsunami inundation flow, such as inundation depth, current velocity and hydrodynamic force. It expands the capability of estimating potential tsunami damage in a quantitative manner.


Author(s):  
Hideo MATSUTOMI ◽  
Hayato OKADA ◽  
Tomohiro KUBOTA ◽  
Fumiko KONNO

2013 ◽  
Vol 69 (2) ◽  
pp. I_1471-I_1475
Author(s):  
Kazuyuki OTA ◽  
Naoto KIHARA ◽  
Takahiro SATO ◽  
Daisuke TAKABATAKE ◽  
Masafumi MATSUYAMA ◽  
...  

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