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Dynamics of River Flow Regimes Viewed through Attractors
Dynamics River Flow Regimes Attractors
2009/10/22
The hydrological system is extremely complex. To get insight into its behaviour
and possible future states it is important to assess not only its individual components
but also consider their intera...
LOW FLOW FREQUENCY ANALYSIS OF THE NILÜFER RIVER AT THE GEÇITKÖY STATION, TURKEY
Frequency analysis critical drought flows low flows surface water pollution
2009/10/13
Frequency analysis of low flows (critical drought flows) is the first step in surface water
pollution control. In this study, a Type-3 Extremal (or Weibull) Distribution with a lower limit
is appl...
Simulation of flood flow in a river system using artificial neural networks
Artificial neural networks flood flow neural networks
2009/5/18
Artificial neural networks (ANNs) provide a quick and flexible means of developing flood flow simulation models. An important criterion for the wider applicability of the ANNs is the ability to genera...
Forward Modeling and validation of a new formulation to compute self-potential signals associated with ground water flow
porous media hydroelectrical flow electrical current density water flow
2009/5/14
The classical formulation of the coupled hydroelectrical flow in porous media is based on a linear formulation of two coupled constitutive equations for the electrical current density and the seepage...
Metal contamination budget at the river basin scale：an original Flux-Flow Analysis (F2A) for the Seine River
Metal contamination river basin scale original Flux-Flow Analysis
2009/5/13
Material flow analysis and environmental contamination analysis are merged into a Flux-Flow analysis (F2A) as illustrated for the metal circulation in the Seine River catchment. F2A combines about 30 ...
Comparison of Artificial Intelligence Techniques for river flow forecasting
Artificial Neural Network Adaptive Neuro Fuzzy Inference System Generalized Regression Neural Networks
2009/4/28
The use of Artificial Intelligence methods is becoming increasingly common in the modeling and forecasting of hydrological and water resource processes. In this study, applicability of Adaptive Neuro ...
