Sediment Transport of Fine Sand to Fine Gravel on Transverse Bed Slopes in Rotating Annular Flume Experiments

Journal Article (2018)
Author(s)

A.W. Baar (Universiteit Utrecht)

Jaco de Smit (Universiteit Utrecht, NIOZ Royal Netherlands Institute for Sea Research)

Wim S.J. Uijttewaal (TU Delft - Environmental Fluid Mechanics)

M. G. Kleinhans (Universiteit Utrecht)

Environmental Fluid Mechanics
DOI related publication
https://doi.org/10.1002/2017WR020604
More Info
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Publication Year
2018
Language
English
Environmental Fluid Mechanics
Issue number
1
Volume number
54
Pages (from-to)
19-45
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Abstract

Large-scale morphology, in particular meander bend depth, bar dimensions, and bifurcation dynamics, are greatly affected by the deflection of sediment transport on transverse bed slopes due to gravity and by secondary flows. Overestimating the transverse bed slope effect in morphodynamic models leads to flattening of the morphology, while underestimating leads to unrealistically steep bars and banks and a higher braiding index downstream. However, existing transverse bed slope predictors are based on a small set of experiments with a minor range of flow conditions and sediment sizes, and in practice models are calibrated on measured morphology. The objective of this research is to experimentally quantify the transverse bed slope effect for a large range of near-bed flow conditions with varying secondary flow intensity, sediment sizes (0.17–4 mm), sediment transport mode, and bed state to test existing predictors. We conducted over 200 experiments in a rotating annular flume with counterrotating floor, which allows control of the secondary flow intensity separate from the streamwise flow velocity. Flow velocity vectors were determined with a calibrated analytical model accounting for rough bed conditions. We isolated separate effects of all important parameters on the transverse slope. Resulting equilibrium transverse slopes show a clear trend with varying sediment mobilities and secondary flow intensities that deviate from known predictors depending on Shields number, and strongly depend on bed state and sediment transport mode. Fitted functions are provided for application in morphodynamic modeling.