scholarly journals NUMERICAL ANALYSIS FOR THE BEHAVIOR OF THE DRIFTAGE WITH TSUNAMI RUN-UP USING FAVOR METHOD

2008 ◽  
Vol 52 ◽  
pp. 1399-1404 ◽  
Author(s):  
Nozomu YONEYAMA ◽  
Hiroshi NAGASHIMA ◽  
Keiichi TODA
Keyword(s):  
Numerical Analysis ◽  
Run Up ◽  
Tsunami Run Up

NUMERICAL ANALYSIS ON TSUNAMI RUN-UP AND TSUNAMI FLOOD TO A COASTAL CITY

2003 ◽  
Author(s):  
Xiaodong Liu ◽  
Shigeki Sakai ◽  
Tsutomu Mikami ◽  
Shunji Iwama ◽  
Fumihiko Imamura ◽  
...  
Keyword(s):  
Numerical Analysis ◽  
Coastal City ◽  
Run Up ◽  
Tsunami Run Up

scholarly journals REFLECTION AND RUN-UP OF TSUNAMI ON QUAY WALL AND BEHAVIOR OF DRIFTED VESSELS DUE TO TSUNAMI

2011 ◽  
Vol 1 (32) ◽  
pp. 11
Author(s):  
Norimi Mizutani ◽  
Tomoaki Nakamura
Keyword(s):  
Numerical Analysis ◽  
Water Depth ◽  
Great Influence ◽  
Quay Wall ◽  
Run Up ◽  
Tsunami Run Up ◽  
And Behavior

Behaviors of a drifted vessel due to a tsunami and the reflection of the tsunami from a quay wall are investigated in this paper based on experiments and numerical analysis. It is found that the height of the quay wall has a great influence on the reflection, and hence the tsunami run-up. It is also revealed that the vessel can be run up on the apron when the water depth at the quay wall is larger than the draft of the vessel.

scholarly journals Shoreline Changes along Northern Ibaraki Coast after the Great East Japan Earthquake of 2011

2021 ◽  
Vol 13 (7) ◽  
pp. 1399
Author(s):  
Quang Nguyen Hao ◽  
Satoshi Takewaka
Keyword(s):  
Near Infrared ◽  
Thermal Emission ◽  
Sandy Beaches ◽  
Great East Japan Earthquake ◽  
Shoreline Changes ◽  
Run Up ◽  
Tsunami Run Up ◽  
Sentinel 2 ◽  
Infrared Radiometer

In this study, we analyze the influence of the Great East Japan Earthquake, which occurred on 11 March 2011, on the shoreline of the northern Ibaraki Coast. After the earthquake, the area experienced subsidence of approximately 0.4 m. Shoreline changes at eight sandy beaches along the coast are estimated using various satellite images, including the ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer), ALOS AVNIR-2 (Advanced Land Observing Satellite, Advanced Visible and Near-infrared Radiometer type 2), and Sentinel-2 (a multispectral sensor). Before the earthquake (for the period March 2001–January 2011), even though fluctuations in the shoreline position were observed, shorelines were quite stable, with the averaged change rates in the range of ±1.5 m/year. The shoreline suddenly retreated due to the earthquake by 20–40 m. Generally, the amount of retreat shows a strong correlation with the amount of land subsidence caused by the earthquake, and a moderate correlation with tsunami run-up height. The ground started to uplift gradually after the sudden subsidence, and shoreline positions advanced accordingly. The recovery speed of the beaches varied from +2.6 m/year to +6.6 m/year, depending on the beach conditions.

scholarly journals NEAR-FIELD TSUNAMI FORECASTING BASED ON A TSUNAMI RUN-UP RESPONSE FUNCTION

2020 ◽  
pp. 5
Author(s):  
Juh-Whan Lee ◽  
Jennifer L. Irish ◽  
Robert Weiss
Keyword(s):  
Real Time ◽  
Response Function ◽  
Near Field ◽  
Coastal Communities ◽  
Tsunami Forecast ◽  
Earthquake Fault ◽  
Tsunami Forecasting ◽  
Fault Parameters ◽  
Run Up ◽  
Tsunami Run Up

Since near-field-generated tsunamis can arrive within a few minutes to coastal communities and cause immense damage to life and property, tsunami forecasting systems should provide not only accurate but also rapid tsunami run-up estimates. For this reason, most of the tsunami forecasting systems rely on pre-computed databases, which can forecast tsunamis rapidly by selecting the most closely matched scenario from the databases. However, earthquakes not included in the database can occur, and the resulting error in the tsunami forecast may be large for these earthquakes. In this study, we present a new method that can forecast near-field tsunami run-up estimates for any combination of earthquake fault parameters on a real topography in near real-time, hereafter called the Tsunami Run-up Response Function (TRRF).Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/tw1D29dDxmY

scholarly journals Source Fault Model of the 2011 off the Pacific Coast of Tohoku Earthquake, Estimated from the Detailed Distribution of Tsunami Run-up Heights

2015 ◽  
Vol 124 (2) ◽  
pp. 177-192 ◽  
Author(s):  
Nobuhisa MATSUTA ◽  
Yasuhiro SUZUKI ◽  
Nobuhiko SUGITO ◽  
Takashi NAKATA ◽  
Mitsuhisa WATANABE
Keyword(s):  
Pacific Coast ◽  
Tohoku Earthquake ◽  
Fault Model ◽  
The Pacific ◽  
Run Up ◽  
Tsunami Run Up

Tsunami Run-Up Simulation

2016 ◽  
pp. 157-177 ◽  
Author(s):  
Kohei Murotani ◽  
Seiichi Koshizuka ◽  
Eiichi Nagai ◽  
Toshimitsu Fujisawa ◽  
Akira Anju ◽  
...  
Keyword(s):  
Run Up ◽  
Tsunami Run Up

High-Resolution Digital Elevation and Bathymetry Model for Tsunami Run-Up and Inundation Simulation in Penang

2019 ◽  
Vol 13 (05n06) ◽  
pp. 1941001
Author(s):  
Su Yean Teh ◽  
Hock Lye Koh ◽  
Yong Hui Lim
Keyword(s):  
High Resolution ◽  
Indian Ocean ◽  
Sea Level ◽  
Interpolation Method ◽  
Topographic Maps ◽  
Seamless Integration ◽  
Topographic Data ◽  
Digital Elevation ◽  
Run Up ◽  
Tsunami Run Up

Many beaches in Penang island were severely inundated by the 26 December 2004 Indian Ocean mega tsunami with 57 deaths recorded. It is anticipated that the next big tsunami will cause even more damages to beaches in Penang. Hence, developing community resilience against the risks of the next tsunami is essential. Resilience entails many interlinked components, beginning with a good understanding of the inundation scenarios critical to community evacuation and resilience preparation. Inundation scenarios are developed from tsunami simulations involving all three phases of tsunami generation, propagation and run-up. Accurate and high-resolution bathymetric–topographic maps are essential for simulations of tsunami wave inundation along beaches. Bathymetric maps contain information on the depths of landforms below sea level while topographic maps reveal the elevation of landforms above sea level. Bathymetric and topographic datasets for Malaysia are, however, currently not integrated and are available separately and in different formats, not suitable for inundation simulations. Bathymetric data are controlled by the National Hydrographic Centre (NHC) of the Royal Malaysian Navy while topographic data are serviced by the Department of Survey and Mapping Malaysia (JUPEM). It is highly desirable to have seamless integration of high-resolution bathymetric and topographic data for tsunami simulations and for other scientific studies. In this paper, we develop a robust method for integrating the NHC bathymetric and JUPEM topographic data into a regularly-spaced grid system essential for tsunami simulation. A primary objective of this paper is to develop the best Digital Elevation and Bathymetry Model (DEBM) for Penang based upon the most suitable and accurate interpolation method for integrating bathymetric and topographic data with minimal interpolation errors. We analyze four commonly used interpolation methods for generating gridded topographic and bathymetric surfaces, namely (i) Kriging, (ii) Multiquadric (MQ), (iii) Thin Plate Spline (TPS) and (iv) Inverse Distance to Power (IDP). The study illustrated that the Kriging interpolation method produces an integrated bathymetric and topographic surface that best approximates the admiralty nautical chart of Penang essential for tsunami run-up and inundation simulations. Tsunami inundation scenarios critical to risk analysis and mitigation could then be developed using this DEBM for various earthquake scenarios, as presented in this paper for the 2004 Indian Ocean Tsunami.

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