Abstract: The distributed water flow predicting device comprises seasonal prediction model learning means for learning weight coefficients by back propagation over a prediction model a neural network model for predicting daily distributed water flows and specific characters of an hourly distributed water flow pattern for a season, based on processed actual seasonal weather data and seasonal distributed water flows, so as to identify the prediction model. Seasonal distributed water flow predicting means pridicts daily distributed water flows and specific characters of hourly distributed water flow patterns for a required season by using the prediction model, based on inputted information about the weather, temperature, a weekday or a holiday.