抄録
Water disaster is one of the typical natural hazards and occurs in many places nowadays. Recently, inundation due to not only river flood but also interior runoff has caused serious damages in urban areas. Numerical simulation models, which consist of overland flow model and sewer flow model etc., have been developed for the examination of measures against inundation due to interior runoff. This study examines the modeling of inflow discharge from overland to sewer system and the setting of runoff coefficients. From the results of numerical simulations, it is found that 500mm/h is appropriate as the upper limit value of the inflow discharge. After the validity of our numerical model is established, its application to hard measures such as river bed dredging and soft measures such as inundation prediction is considered. For the soft measure, the inundation prediction system is constructed based on machine learning using the numerical results. Their results show that the numerical models are effectively applied to implementation of hard and soft measures.
