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Artificial neural networks (ANN) have been found efficient, particularly in problems where characteristics of the processes are stochastic and difficult to describe using explicit mathematical models....
In this paper neural networks have been studied as a tool to realise a single-input single-output nonlinear dynamic system simulating rainfall-runoff transformation in a urban hydrological basin. The ...
The inflow of river water to the Baltic Sea is evaluated for the period 1951-60. A proposal is made for a re-evaluation of the estimates for earlier periods and for future computations on a continuo...
The rapid flow model (equivalent to the distributed delayed Muskingum model) is an attractive linear flood routing model meeting the conflicting demands of physical significance and simplicity. Afte...
Salinity and temperature data from the Gulf of Riga, a semi-enclosed sub-basin of the Baltic Sea, were analyzed with a focus on interannual and seasonal variability. The data were compiled from meas...
Due to its high activities in groundwater, the radionuclide 222Rn is a sensitive natural tracer to detect and quantify groundwater inflow into lakes, provided the comparatively low activities in the l...
Groundwater and river-water have a different composition and interact in and below the riverbed. The riverbed-aquifer flux interactions have received growing interest because of their role in the exch...

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