Abstract
Early detection of tsunami needed for sufficient evacuation time, which the existing method using buoy can not accommodate. In this report, we investigated low-frequency signal (infrasound) as a cue for tsunami detection. We used Bayesian infrasound source localization (BISL) method for predicting events and direction of the tsunami based on prior data. The method consists of three processes such as detection, association, and localization. All processes are done to infrasound data that are recorded from the microphone array. The recorded infrasound data at Minahasa, Indonesia used for evaluating the proposed method. The result indicates that BISL can predict latitude, longitude, and incident time of the tsunami based on the true value of the real tsunami event.
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