Abstract:
In this paper, the flood forecast and warning system with 4 storage of tank model and the
implication of Extended Kalman Filter (EKF) theory was developed specially for the simulation of
flood in the Tapi river. By solving the governing equations, a numerical model can be used to
predict flood discharge in the future as a flood forecast and warning system. A simulation was
conducted, using observed daily rainfall, evaporation, infiltration and flood discharge depth as input
data. The numerical model was calibrated by comparison of the simulation results with the observed
data. It was found that the results of flood hydrograph from the simulation were compared well with
the observed data. The EI and R were used as the main criteria to judge whether the data fitted
between the measured and simulated data. It was found that these two values were greater than 0.90,
indicating well fit and the model could be applied for flood forecast and warning in the Tapi basin.