Observation and Prediction of Sand Ripple Geometry on a Sloped Bed Under Varying Combined Wave-Current Flows

Journal Article (2025)
Author(s)

Seok Bong Lee (The University of Southern Mississippi, Oregon State University)

Meagan E. Wengrove (Oregon State University)

M. A. de Schipper (TU Delft - Coastal Engineering)

M. G. Kleinhans (Universiteit Utrecht)

Gerben Ruessink (Universiteit Utrecht)

Julia Hopkins (Northeastern University)

Research Group
Coastal Engineering
DOI related publication
https://doi.org/10.1029/2025JF008380
More Info
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Publication Year
2025
Language
English
Research Group
Coastal Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Issue number
8
Volume number
130
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Abstract

We investigated quasi-2D sand ripple geometry (i.e., ripple height, ripple wavelength, and ripple asymmetry) on a mound subject to the influence of waves, currents, and combined wave-current flows. The results of this study quantify how ripple geometry is influenced by bed slope and combined wave-current flows. The geometry of the ripples is shown to depend on the combined wave-current flow ratio and the local bed slope. Under wave-only conditions, the wave-driven ripple length and height decreased as a function of depth and local slope. Under combined wave-current conditions, the ripples increased in height and wavelength on the stoss slope of the mound, and decreased on the lee slope of the mound. Existing ripple geometry predictors, developed for combined flows on flat sand beds, were unable to predict ripple geometry on the sloped bed accurately. We propose correction factors for ripple geometry predictors to account for slope effects and combined wave-current flow conditions. Applying the correction factors significantly improves the predictor performance for predicting ripple height, wavelength, and asymmetry on sloping beds.

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