Please use this identifier to cite or link to this item: https://doi.org/10.1002/2015JC011185
DC FieldValue
dc.titleParameterization of intrawave ripple-averaged sediment pickup above steep ripples
dc.contributor.authorAmoudry, L.O
dc.contributor.authorSouza, A.J
dc.contributor.authorThorne, P.D
dc.contributor.authorLiu, P.L.-F
dc.date.accessioned2020-11-19T09:39:25Z
dc.date.available2020-11-19T09:39:25Z
dc.date.issued2016
dc.identifier.citationAmoudry, L.O, Souza, A.J, Thorne, P.D, Liu, P.L.-F (2016). Parameterization of intrawave ripple-averaged sediment pickup above steep ripples. Journal of Geophysical Research: Oceans 121 (1) : 658-673. ScholarBank@NUS Repository. https://doi.org/10.1002/2015JC011185
dc.identifier.issn21699275
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/183725
dc.description.abstractNear-bed sediment pickup is critical for predictions of intrawave suspension and in turn net sediment transport in coastal models. In the present study, numerical results from a two-dimensional Reynolds-averaged Navier-Stokes model are used to assess the functional relationship of intrawave ripple-averaged sediment pickup above steep ripples. The numerical model provides intrawave time histories of ripple-averaged near-bed velocities and turbulence, which are qualitatively interrogated to determine pickup functional relationships. Several specific sediment pickup formulations are implemented within the numerical model: Expressions relating pickup to near-bed velocity or near-bed turbulent kinetic energy via the bed shear stress; and expressions relating pickup to near-bed shear production of turbulent kinetic energy. These are then tested via model-data comparisons of near-bed suspended sediment concentration. The results show that the traditional functions relating sediment pickup to near-bed velocity cannot lead to reasonable intrawave suspension predictions above vortex ripples under a ripple-averaged framework. Instead, relating sediment pickup to near-bed turbulence quantities, such as turbulent kinetic energy or shear production of turbulent kinetic energy, significantly improves the numerical predictions for these conditions. @ 2015. The Authors.
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectbedform
dc.subjectflow modeling
dc.subjectkinetic energy
dc.subjectmarine sediment
dc.subjectnumerical model
dc.subjectparameterization
dc.subjectripple
dc.subjectsediment property
dc.subjectsediment transport
dc.subjectshear flow
dc.subjectturbulence
dc.subjectvortex
dc.typeArticle
dc.contributor.departmentCIVIL AND ENVIRONMENTAL ENGINEERING
dc.description.doi10.1002/2015JC011185
dc.description.sourcetitleJournal of Geophysical Research: Oceans
dc.description.volume121
dc.description.issue1
dc.description.page658-673
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