Investigation of Sand Ripple Dynamics with Combined Particle Image and Tracking Velocimetry

Author:

Frank-Gilchrist Donya P.1,Penko Allison2,Calantoni Joseph2

Affiliation:

1. National Research Council Postdoctoral Associate, U.S. Naval Research Laboratory, Stennis Space Center, Mississippi

2. Marine Geosciences Division, U.S. Naval Research Laboratory, Stennis Space Center, Mississippi

Abstract

AbstractAccurately assessing the response of sediments to oscillatory flows requires high-resolution fluid velocity and sediment transport measurements at the fluid–sediment interface. Fluid and sediment grain velocities were measured simultaneously with combined particle image and tracking velocimetry under oscillatory flows over movable sand ripples. Three high-speed cameras equipped with varying optical filters were used to distinguish between fluorescent fluid tracers and the grains, from which the fluid and grain velocities were determined, respectively. Individual grains were tracked during transport to determine velocities and trajectories. Sediment grains were first mobilized by a vortex impacting the bed during flow reversal and suspended into the water column just prior to vortex ejection from the ripple crest, similar to previous observations. During phases of maximum flow velocity, additional grains were mobilized by the shear stress and were subsequently suspended. The flow reversed and similar observations were made in the opposite direction. Consequently, four peaks in suspended sediment concentration were observed throughout the flow cycle, consistent with previous observations. However, some previous researchers attributed peaks in suspended sediment concentration occurring during phases of maximum flow velocity to sediment-laden vortices that were shed from adjacent ripples. The measured sediment grain velocities were of similar magnitude and phase to the near-bed fluid velocities when the grains were being advected with the flow. Measurements of suspended sediment concentration agreed well with semiempirical formulations having an average root-mean-square deviation of approximately 4 × 10−5 m3 m−3. Predictions of settling velocity also compared well with the laboratory estimates, agreeing to within 90%.

Funder

Office of Naval Research

National Research Council Research Associateship Program

Publisher

American Meteorological Society

Subject

Atmospheric Science,Ocean Engineering

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