Evaluation of genetic programming-based models for simulating friction factor in alluvial channels

K. Roushangar (1) , Dominique Mouazé (2) , J. Shiri (1)

1 University of Tabriz [Tabriz]
2 M2C - Morphodynamique Continentale et Côtière

The bed resistance is one of the most complex aspects of water flow studies in natural streams. Most of the existing non-linear formulas for describing alluvial channel flows are based on dimensional analysis and statistical fitting of data to the parameters considered in the functional relationships implicitly, which are partially valid. The present study aims at developing genetic programming (GP) - based formulation of Manning roughness coefficient in alluvial channels. The training and testing data are selected from original experiments, performed in a hydraulic flume using a sand mobile bed. A comparison was also made between GP and traditional nonlinear approaches of resistance modeling. The obtained results revealed the GP capability in modeling resistance coefficient of alluvial channels' bed

Mots clés: Friction factor; Genetic programming; Sensitivity analyses; Alluvial channel

Domaines: Interfaces continentales, environnement; Milieux et Changements globaux

K. Roushangar, Dominique Mouazé, J. Shiri. Evaluation of genetic programming-based models for simulating friction factor in alluvial channels. Journal of Hydrology, 2014, 517, pp.1154-1161. ⟨10.1016/j.jhydrol.2014.06.047⟩. ⟨hal-01037960⟩