# 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)

## 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

### From a Helicopter

Click the image below.

Karakuwa, Miygi Pref.

Karakuwa, Miygi Pref.

Kesen-numa, Miygi Pref.

Kesen-numa, Miygi Pref.