An entropy based method for flood forecasting.
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abstract
The entropy theory is used to develop a univariate model for forecasting of long term streamflow. The model modifies the original Burg equations from the maximum entropy spectral analysis (MESA), and uses autocovariance matrix of streamflow record. The model is verified on five rivers from different regions of the world. The model forecasts are found comparable to those of the ARIMA model. It is shown that this model can be applied to other univariate hydrologic processes. (A)