Estimation of Manning Roughness Coefficient in Alluvial Rivers with Bed Forms Using Soft Computing Models-Reference-Cited by-同舟云学术

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

Published:2023-04-15 Issue:9 Volume:37 Page:3563-3584
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

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

Link

https://link.springer.com/content/pdf/10.1007/s11269-023-03514-z.pdf

Reference35 articles.

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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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