Modeling the Tsunami of 27 February 2010 in Chile
Disaster Control Research Center, Tohoku University

Useful Information

General

CNN

Reuters

Emergency Response

ReliefWeb

OCHA Situation Reports

Seismology

USGS

Tsunami Observation

WCATWC web site

Maps

University of Texas Libraries

Modeling the Tsunami of 27 February 2010 in Chile
DCRC, Tohoku University

Tsunami Model Description

Geverning Equation : Linear Shallow Water Equations (Far-field model), Non-linear Shallow Water Equations (Near-field model)

Numerical Scheme : Leap-frog Finite Difference Method (TUNAMI-CODE of Tohoku University)

Spatial Grid Size : 5 arc-min. (Far-field model), 30 arc-sec. (Near-field model)

Bathymetry Data : GEBCO

Population Data : Landscan

Tsunami Source Model

Case 1

Mo = 2.0 x 10**22 Nm

Fault Length / Width : 450 km / 100 km

Source Mechanism (Strike, Dip, Slip) = (16, 14, 104) Reference :USGS

Dislocation : 15 m

Seismic Deformation Model Result

For original resolution, click the image below.

Case 1

Near-field Tsunami Model Result and exposed population

Google Earth KML (Modeled tsunami height), click the image below

Full report (PDF, 2MB), click the image below

Mid-ocean Tsunami Propagation Model Movie(QuickTime Required)

Click to play(1.6MB)

Case 1

Tsunami Waveforms

For original figure (PDF), click the image below.

Case 1

Tsunami in the Pacific

Pacific coast of Japan

Modeled Tsunami Height and Exposed Population

Modeled tsunami height and Exposed population (Case1)

How fast can we detect the impact of natural disaster ? This is a very critical problem to be solved in order to reduce the fatalities by any kinds of natural disasters. Recent advances of seismology, numerical modeling with modern computing power, remote sensing, and GIS analysis expands the capability to detect the impact of major tsunami disaster, as reported herein.

Modeled tsunami

Modeled tsunami along the Pacific coast of Japan

Modeled tsunami and exposed population in tsunami source area

Resources

• Koshimura, S., T. Oie, H. Yanagisawa, and F. Imamura, Developing fragility functions for tsunami damage estimation using numerical model and post--tsunami data from Banda Aceh, Indonesia, Coastal Engineering Journal, JSCE, Vol.51, No.3, pp.243-273, 2009
• Koshimura, S., M. Matsuoka and S. Kayaba, Integrated Approach to Assess the Impact of Tsunami Disaster, Proceedings of ICOSSAR 2009, pp.2302-2307, 2009 (Safety, Reliability and Risk of Structures, Infrastructures and Engineering Systems - Furuta, Frangopol & Shinozuka (eds.), 2010 Taylor & Francis Group, London) (Published paper)
• Dobson, J. E., E. A. Bright, P. R. Coleman, R.C. Durfee & B. A. Worley, LandScan: A Global Population Data-base for Estimating Populations at Risk," Photogrammetric Engineering & Remote Sensing Vol. 66, No. 7, 849-857, 2000.

Reconnaissance

Field survey in Kesen-numa city

Report of a post-tsunami field survey in Kesen-numa city. (in Japanese)

From a Helicopter

Click the image below.

Karakuwa, Miygi Pref.

Karakuwa, Miygi Pref.

Kesen-numa, Miygi Pref.

Kesen-numa, Miygi Pref.