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IUGG XXIV General Assembly July 2-13, 2007 Perugia, Italy<br />

(S) - <strong>IASPEI</strong> - International Association of Seismology and Physics of the Earth's<br />

Interior<br />

JSS002 Poster presentation 1818<br />

The implications of non-linearity and dispersion in a tsunami scenario<br />

database<br />

Mr. Arthur Simanjuntak<br />

Australian Bureau of Meteorology Research Centre Australian Bureau of Meteorology<br />

Diana J.M. Greenslade<br />

The Australian Bureau of Meteorology has developed a 1st generation operational model-based tsunami<br />

prediction system (T1) as a component of the Australian Tsunami Warning System. The T1 system is<br />

based on a database of pre-computed tsunami scenarios. For each earthquake source location, the T1<br />

system provides solutions from four different earthquake magnitudes and chooses the closest scenario.<br />

A natural extension of this system would be to provide an interpolation of these scenarios to obtain the<br />

solution for a specific intermediate earthquake magnitude. Implicit in this is the assumption of wave<br />

linearity, which has been shown to hold in the open ocean but unlikely to be accurate in shallow water.<br />

Furthermore, since the ruptures for each earthquake magnitude differ from each other not only in the<br />

amount of slip but also width and length, the initial conditions would have different horizontal<br />

wavelengths from each other. This will have implications as the waves disperse and encounter<br />

bathymetric features. The importance of dispersion is proportional to the distance travelled by the<br />

waves and inversely proportional to depth. In this presentation, the potential for scenario interpolation<br />

will be investigated by means of numerical experiments and simple scaling arguments. The assumption<br />

of linearity and the effect of dispersion will be investigated separately. Specifically, we will explore some<br />

non-dimensional parameter space beyond which the non-linearity and dispersive effects start to<br />

dominate and therefore render simple magnitude interpolation inappropriate.<br />

Keywords: linearity, dispersion, simulation

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