The paper presents a numerical model to reproduce the tsunami generation and propagation, which can be applied in real-time to be used as a forecasting tool. Free surface elevation measurements in a point close to the tsunami generation area, allows the real-time prediction of tsunami in the far field. This is possible due to an inversion technique. The measurements and modeling of hydro-acoustic waves could shorten the time for spreading the alarm and reduce the number of false alerts. In the paper new investigation about hydro-acoustic waves are also presented in order to outline their possible use to support Tsunami Early Warning System.

Cecioni, C., Bellotti, G., Romano, A., Abdolali, A., Sammarco, P., Franco, L. (2014). Tsunami early warning system based on real-time measurements of hydro-acoustic waves. In Procedia Engineering (Proceedings 12th International Conference on Computing and Control for the Water Industry, CCWI2013) (pp.311-320) [10.1016/j.proeng.2014.02.035].

Tsunami early warning system based on real-time measurements of hydro-acoustic waves

CECIONI, CLAUDIA;BELLOTTI, GIORGIO;Romano A;FRANCO, Leopoldo
2014-01-01

Abstract

The paper presents a numerical model to reproduce the tsunami generation and propagation, which can be applied in real-time to be used as a forecasting tool. Free surface elevation measurements in a point close to the tsunami generation area, allows the real-time prediction of tsunami in the far field. This is possible due to an inversion technique. The measurements and modeling of hydro-acoustic waves could shorten the time for spreading the alarm and reduce the number of false alerts. In the paper new investigation about hydro-acoustic waves are also presented in order to outline their possible use to support Tsunami Early Warning System.
2014
Cecioni, C., Bellotti, G., Romano, A., Abdolali, A., Sammarco, P., Franco, L. (2014). Tsunami early warning system based on real-time measurements of hydro-acoustic waves. In Procedia Engineering (Proceedings 12th International Conference on Computing and Control for the Water Industry, CCWI2013) (pp.311-320) [10.1016/j.proeng.2014.02.035].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/115417
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