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Water level forecasting through fuzzy logic and artificial neural network approaches
Water level forecasting fuzzy logic artificial neural network approaches
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2009/5/13
In this study three data-driven water level forecasting models are presented and discussed. One is based on the artificial neural networks approach, while the other two are based on the Mamdani and t...
A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach
Muskingum-Cunge variable parameter Muskingum-Cunge approach water storage
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2009/5/13
The variable parameter Muskingum-Cunge (MC) flood routing approach, together with several variants proposed in the literature, does not fully preserve the mass balance, particularly when dealing with ...
Uncertainties in selected river water quality data
surface waters water quality
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2009/5/7
Monitoring of surface waters is primarily done to detect the status and trends in water quality and to identify whether observed trends arise from natural or anthropogenic causes. Empirical quality of...
An alternative deterministic method for the spatial interpolation of water retention parameters
spatial interpolation water retention parameters
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2009/4/28
There are two approaches available for mapping water retention parameters over the study area using a spatial interpolation method. (1) Retention models can be first fitted to retention curves availab...