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This study analyzed the monthly-minimum daily discharge data of each month from three gauge stations on Cekerek Stream for forecasting using stochastic approaches. Initially non-parametric test (Mann-...
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 ...
Monthly streamflow series from five catchment areas, representative of some of the typical types encounted in Germany,.are analysed. The time series structure of the streamflow can be described by a...
The results presented in this study indicate the possibility of seasonal runoff prediction when satellite-derived basin snow-cover data are related to point source river discharge data for a number ...
In Canada, Water Survey of Canada, a division of the Water Resources Branch of Environment Canada, is responsible for the collection and processing of data from more than 3,300 active streamflow, wa...
Various forms of the regressional relationship between the concurrent monthly discharges of neighbouring catchments are explored, with a view to generalising the relationship for a region. This enab...
Modelling Streamflow Recession in Two Danish Streams      Streamflow Recession  Two Danish Streams        font style='font-size:12px;'> 2009/10/26
The streamflow recession for two Danish streams is found not to follow the traditionally used single exponential expression Q = Qo K', where K is the recession constant. Three alternative equations,...
Ensemble prediction systems are used operationally to make probabilistic streamflow forecasts for seasonal time scales. However, hydrological models used for ensemble streamflow prediction often have ...

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