Abstract
Evacuation information on the tsunami inundation forecast hazard map is required to be up to date. However, the hazard map can not be updated frequently due to the human cost for basic research, and the calculation cost for high precision simulation. Therefore, we classify land use by combining texture analysis with local fractal dimension, DEM data, and coastline data. Based on this result, we forecast inundation of the tsunami with small calculation cost by energy conservation method. Furthermore, we construct the road network from road edge data using image processing, and search the evacuation routes with the Dijkstra method considering horizontal distance, elevation, and inundation depth. Using these method, we create a tsunami inundation forecast hazard map which is easily updated.
