Realtime Tsunami Prediction System Using Oceanfloor Network Data and its Social Implementation

We have developed a real-time tsunami prediction system using the dense oceanfloor network system for earthquakes and tsunamis (DONET) to visualize predicted tsunami information around the Nankai coastal area. The principal of the prediction system is based on tsunami amplification according to Green's law. Tsunami waveforms of all DONET observatories and predicted target points are calculated in advance using 1506 fault models along the Nankai Trough area. The possible fastest tsunami arrival time, tsunami height, inundation area, and calculated tsunami waveforms of each target point are shown in real-time. We installed it in some local governments and an infrastructure company. Here we report the logic and strategy for social implementation.