Neuro-Fuzzy GMDH Approach to Predict Longitudinal Dispersion in Water Networks

Longitudinal dispersion in pipelines leads to changes in the characteristics of contaminants. It is critical to quantify these changes because the contaminants travel through water networks or through chemical reactors. The essential characteristics of longitudinal dispersion in pipes can be describ...

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Veröffentlicht in:	Water resources management 2015-05, Vol.29 (7), p.2205-2219
Hauptverfasser:	Najafzadeh, Mohammad, Sattar, Ahmed M. A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Atmospheric Sciences Average velocity Civil Engineering Coefficients Contaminants Contamination Dispersion Dispersions Earth and Environmental Science Earth Sciences Environment Flow velocity Friction Geotechnical Engineering & Applied Earth Sciences Hydrogeology Hydrology/Water Resources Machine learning Mathematical models Networks Optimization Pipe Pipe flow Pipelines Reynolds number Sensitivity analysis Studies Turbulence Turbulent flow Variables Water quality Water utilities
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