Flood forecasting and comparison with the accuracy of forecasting by some rainfall-runoff models

In this paper, the authors propose a system of nonlinear flood forecasting by the filter separation AR method.Firstly, we compare the flood prediction of three methods (a regression model, a unit hydrigraph and a quasi-physically based model cited from the paper of Loague and Freeeze, 1985) with one of the filter separation AR method on data sets from the Washita River Experimental Watershed.Secondly, we calculate and compare the modeling efficiencies of real time forecasting by the filter separation AR method with the generalized storage function method to which Karman filtering theory is applied and the tank model method.