Please use this identifier to cite or link to this item: https://doi.org/10.1002/2015JC011185
Title: Parameterization of intrawave ripple-averaged sediment pickup above steep ripples
Authors: Amoudry, L.O
Souza, A.J
Thorne, P.D
Liu, P.L.-F 
Keywords: bedform
flow modeling
kinetic energy
marine sediment
numerical model
parameterization
ripple
sediment property
sediment transport
shear flow
turbulence
vortex
Issue Date: 2016
Citation: Amoudry, 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
Rights: Attribution 4.0 International
Abstract: Near-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.
Source Title: Journal of Geophysical Research: Oceans
URI: https://scholarbank.nus.edu.sg/handle/10635/183725
ISSN: 21699275
DOI: 10.1002/2015JC011185
Rights: Attribution 4.0 International
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