Extended Einstein's parameters to include vegetation in existing bedload predictors
Advances in Water Resources(2021)
Abstract
•There is a lack of reliable methods for bedload estimation in vegetated channels.•Existing methods based on bed-roughness correction usually yield overestimations.•An extension to Einstein's transport parameters is proposed to include plant properties.•The resulting approach is valid in settings with emergent and submerged vegetation.
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Key words
Bedload predictor,Aquatic vegetation,Einstein's sediment transport parameters,Flume experiments
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