Abstract
Today, we can get high quality information about spatial distribution of rainfall observed by radar on real time. In order to make effective use of such a spatial rainfall information, and to improve the flood forecasting accuracy for dam operation, we developed a real time dam inflow prediction system based on distributed rainfall-runoff model. In our system, channel flow is calculated by using the integrated kinematic wave model for channel networks, and the state of channel flow is updated with Kalman filter. Simulations are carried out with dam inflow data and precipitation data observed by rain gauges, and it was confirmed thatthe prediction system performs well.
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