Developing fragility functions for tsunami damage estimation using the numerical model and satellite imagery

Recent development of numerical modeling of tsunami and remote sensing technologies enable us to determine the detailed features of tsunami damage. Numerical model with high-accuracy and high-resolution bathymetry/topography grid predicts the local hydrodynamic features of tsunami, such as inundation depth and current velocity. Also, high-resolution satellite imagery provides detailed information of tsunami-affected area. In recent years, we have been expanding capabilities to comprehend the impact of major tsunami disaster by integration of numerical modeling and remote sensing technologies 2), . In the present study, we propose an integrated approach of numerical model of tsunami inundation and post-tsunami disaster information obtained from satellite imagery, to determine the relationship between hydrodynamic features of tsunami inundation flow and damage levels or damage probabilities, so called fragility functions. Here, developing fragility functions are focused on two cases. One is the fragility function of house damage which is important to estimate the impact of the tsunami in a quantitative sense, and another is of mangrove forest which is also important to determine the limitation of the effect coastal forest as one of the countermeasures against tsunami disaster.