An estimation of runoff ratio by using artificial neural network with radar echo data

This paper describes an application of a neural network for estimating the runoff ratio from radar echo data. A neural network system is developed through a case study on a dam for hydro-power plant located the upper district of the Yahagi River in Central Japan. The authors use the two types of neural networks; one of the types is for estimating the ground rainfall distribution from radar echo data and another one is for estimating the runoff ratio from estimated ground rainfall. It is found from their investigations that estimating accuracy of the runoff ratio is improved by utilization the radar echo data.