Real-time tsunami damage prediction using DONET and the implementation

In Japan, hazard maps for tsunami risks are shown by many sites of organizations for disaster prevention, and known well for public, recently. The truly meaning and reality of tsunami damages, however, do not seem to be recognized correctly. In particular, second damages by tsunami inundation, which are occurrence of debris, the drift, the fire and so on, could be severe for local residents. Therefore, we have considered the tsunami debris as one of important factors for evaluation of the disaster and reconstruction. We combined our technologies for real-time tsunami prediction system showing the arrival time, height and inundation depth using Dense Oceanfloor Network system for Earthquake and Tsunamis (DONET) and evaluation of tsunami debris based on motion equations proposed by Kozono et al. (2016). To improve inundation depth prediction, diversification for introduction of real-time observed data and multifunctionalization for selection of fault models. Then, we developed a real-time tsunami damage prediction system and installed it in Owase city. This system visualizes behavior of tsunami debris with the inundation map and users can recognize tsunami damages, which are healthy of infrastructure and access from the sea to transport materials. Here, we summarized the details of technology and implementation.