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We present an experiment on fifty multilayer perceptrons trained for streamflow forecasting on three watersheds using bootstrapped input series. This type of neural network is common in hydrology and ...
Data-based methods of flow forecasting are becoming increasingly popular due to their rapid development times, minimum information requirements, and ease of real-time implementation, with transfer fun...
Real time operation studies such as reservoir operation, flood forecasting, etc., necessitates good forecasts of the associated hydrologic variable(s). A significant improvement in such forecasting ca...
Most neural network hydrological modelling has used split-sample validation to ensure good out-of-sample generalisation and thus safeguard each potential solution against the danger of overfitting. Ho...
This study demonstrates a combined application of chaos theory and support vector machine (SVM) in the analysis of chaotic time series with a very large sample data record. A large data record is ofte...
This paper implements the inverse approach for forecasting hydrological time series in an efficient way using a micro-GA (mGA) search engine. The inverse approach is based on chaos theory and it invol...
An autoregressive error model has been tested on the residuals of the conceptual HBV-model for the EmAn catchment. The autoregresslve model gives considerable improvements for real shorttime forecas...
A lumped sequential river flow forecasting model is outlined. It is shown to be flexible in both temporal and spatial scales, thereby allowing simulations to be undertaken for a wide range of practi...
In this paper comprehensive simulation models are presented which can forecast the streamflow in real time at various points in river systems and provide a tool for identifying improvements of the r...
In many physically based hydrological models, there is the requirement to specify the suction-moisture curve of the soil system. This paper shows that where the suction moisture curve is known, then...
A modified version of HBV-3 model has been used since 1981 for operational spring-time forecasting in Finland. This model is ready now for eleven river basins ranging from 500 to 30,000 km2. From th...
Some problems associated with forecasting water cooling in the entrance to the Baltic Sea are examined, using a diagnostic study from the severe ice winter of 1986187 as a starting point. In the stu...
After a review of existing operational models for daily snowmelt forecasting, an operational oriented one has been developed in order to provide a simple tool for one-to-three-day ahead flow managem...
The paper presents a classification and a review of the updating procedures currently used in real-time flood fo~ecastingm odelling. On the basis of results from the WMO project 'Simulated Real-Time...
This paper investigates the adaptive use of a simple conceptual lumped rainfallrunoff model based on a Probability Distributed Model complemented with a Geomorphological Unit Hydrograph. Three diffe...

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