@inproceedings{oai:kutarr.kochi-tech.ac.jp:00000958,
 author = {Appuhamy, J.M.R.S. and Ohga, M. and Kaita, T. and Tinti, S. and Dissanayake, P.B.R.},
 book = {Society for Social Management Systems Internet Journal},
 issue = {1},
 month = {Mar},
 note = {The gigantic earthquake with magnitude 9.1 occurred at the western coast of Northern Sumatra Island, on the peaceful day of 26^<th> December 2004 and it generated the tsunami with wave height of approximately 25m in the nearby areas. The tsunami affected the whole Indian Ocean area, and the damage became one of the heaviest natural disasters in human history with casualty nearly 300,000 people as well as destructive damage to houses/buildings and infrastructures. This mega event of Indian Ocean Tsunami stressed the need for assessing tsunami hazard in vulnerable coastal areas. Two major areas of the management of disaster prevention are to evacuate the people in the coastal area to the safer areas as soon as possible and pre-modification the coastal structures to resist the tsunami waves effectively. Often the only way to determine the potential run-ups and inundation from a local or distant tsunami is to use numerical modeling, since data from past tsunamis is usually insufficient. Models can be initialized with potential worst case scenarios for the tsunami sources or for the waves just offshore to determine corresponding worst case scenarios for run-up and inundation. Models can also be initialized with smaller sources to understand the severity of the hazard for the less extreme but more frequent events. This information is then the basis for creating tsunami evacuation maps and procedures. It then might be possible to use such simulations to predict tsunami behavior immediately after an earthquake is detected and the government or the responsible authorities can take the necessary actions to evacuate the innocent residents to the safe areas shown in evacuation maps which have been created by using the numerical simulations results. This paper consists the numerical modeling results of the December 2004 Sumatra-Andaman Tsunami which simulated with different earthquake magnitudes to demonstrate the relationship between the earthquake magnitude and the maximum water level elevations which enables to identify local and worldwide tsunamis to mitigate tsunami disasters.},
 publisher = {Society for Social Management Systems},
 title = {Importance of Numerical Modeling in Tsunami Disaster Prevention},
 volume = {5},
 year = {2009}
}