Large River Real-Time Flood Forecasting System Based on Neural Network Model

The purpose of this study is to develop a real-time flood forecasting model in order to predict the flood runoff having nature of non-linearity and to verify applicability of neural network model for large river basin. Developed model in this study, NRDFM (Neural River Discharge-stage Forecasting Model) was applied to predict the flood discharge on Waekwan station in Nakdong river of Korea. As a result of flood forecasting on Waekwan, it can be concluded that NRDFM- II is the best predictive model for real-time operation. In addition, the forecasting results of NRDFM- I and NRDFM-III show sufficient probability for real-time forecasting. Consequently, it is expected that NRDFM will be available in real-time flood warning system.