DEVELOPMENT AND EVALUATION OF THE LOCALIZED SEVERE RAIN SIMULATOR BASED ON AUGMENTED REALITY TECHNIQUE

With change of a weather situation in recent years, it is pointed out that the generating number of the disaster by Localized Severe Rainis increasing. In disasters like localized Severe Rain, it is important that local residents be able to predict the risk and seek shelter in order to protect themselves; but currently no education to improve the ability to predict such disasters has been implemented. Moreover, the effectiveness of this simulator was evaluated by comparing with the disaster prevention education based on the past disaster documents such as the damage number, the damage photo, the radar rainfall information and so on.