Estimation of Manning Roughness Coefficient in Alluvial Rivers with Bed Forms Using Soft Computing Models

Author:

Yarahmadi Mohammad Bahrami,Parsaie Abbas,Shafai-Bejestan Mahmood,Heydari Mostafa,Badzanchin Marzieh

Funder

Shahid Chamran University of Ahvaz

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Reference35 articles.

1. Afzalimehr H, Singh VP, Najafabadi EF (2010) Determination of form friction factor. J Hydrol Eng 15(3):237–243

2. Ayhan Ž (2011) A model of adaptive neural-based fuzzy inference system (ANFIS) for prediction of friction coefficient in open channel flow. Sci Res Essays 6(5):1020–1027

3. Azamathulla HM, Jarrett RD (2013) Use of gene-expression programming to estimate Manning’s roughness coefficient for high gradient streams. Water Resour Manage 27:715–729

4. Azamathulla HM, Haghiabi AH, Parsaie A (2016) Prediction of side weir discharge coefficient by support vector machine technique. Water Sci Technol Water Supply 16(4):1002–1016

5. BahramiYarahmadi M, ShafaiBejestan M (2011) Experimental study of the effect of sediment particles shape on Manning’s coefficient. J Water Soil 25(1):51–60

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