An Agent-based Tsunami Alert System

Natural tsunami catastrophes occurred over the years have developed the interest in studying the associated physical phenomena in order to refine existing modeling tools and enhance alert mechanisms. To this purpose, it is essential to carry out an adequate risk analysis for the most exposed areas and therefore to study any historical event that may provide useful indications on the dynamics of the area. To this aim, recently, a fully nonlinear and dispersive long wave model FUNWAVE-TVD and a 3D (sigma-coordinate) non-hydrostatic model NHWAVE were respectively proposed to simulate the tsunami propagation and its slide generation. However, these models require to analyze a great amount of data coming both i) by wavemeters, which measures the sea anomalies in real time, and ii) by historical data. Given the complexity of these tasks, in this paper we propose to adopt the agent technology to verify the wavemeters reliability and to analyze the results of the models cited above in order to realize a reliable tsunami alert system.

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