Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCheng, Nian-Shengen
dc.identifier.citationCheng, N. S. (2003) A diffusive model for evaluating thickness of bedload layer. Advances in Water Resources, 26(8), 875-882.en
dc.description.abstractThe thickness of the bedload layer is a crucial parameter for evaluating sediment transport rates in open channel flow, but it is often determined empirically. Based on the concept of the hydrodynamic diffusion related to particle particle interactions, an analytical model is proposed in this study for computing the thickness of the bedload layer. The coefficient of diffusion is assumed to be associated with the momentum transfer induced by the random particle motion and thus can be derived from the shear-induced particle stress. The analytical result shows that the ratio of the bedload thickness to the particle diameter depends on the dimensionless particle diameter and dimensionless bed shear stress. Differences are also examined between the present study and a few empirical formulas that are derived from experimental results for limited bed conditions.en
dc.format.extent8 p.en
dc.relation.ispartofseriesAdvances in water resourcesen
dc.rights© 2003 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Advances in Water Resources, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [].en
dc.subjectDRNTU::Engineering::Civil engineering::Water resourcesen
dc.titleA diffusive model for evaluating thickness of bedload layeren
dc.typeJournal Articleen
dc.contributor.schoolSchool of Civil and Environmental Engineeringen
dc.description.versionAccepted versionen
item.fulltextWith Fulltext-
Appears in Collections:CEE Journal Articles
Files in This Item:
File Description SizeFormat 
134. A diffusive model for evaluating thickness of bedload layer.pdf636.63 kBAdobe PDFThumbnail

Citations 20

Updated on Dec 1, 2022

Web of ScienceTM
Citations 20

Updated on Dec 6, 2022

Page view(s) 20

Updated on Dec 8, 2022

Download(s) 10

Updated on Dec 8, 2022

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.