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A Two‐Layer Turbulence‐Based Model to Predict Suspended Sediment Concentration in Flows With Aquatic Vegetation

Chien‐Yung Tseng, Rafael O. Tinoco

2020Geophysical Research Letters62 citationsDOIOpen Access PDF

Abstract

Abstract Traditional bed shear stress‐based models (e.g., Rouse model) derived from the classic parabolic profile of eddy viscosity in open‐channel flows fail to accurately predict suspended sediment concentration (SSC) in flows with aquatic vegetation. We developed a two‐layer, turbulence‐based model to predict SSC profiles in emergent vegetated flows. Turbulence generated from vegetation, bed, and coherent structures caused by stem‐bed‐flow interaction are considered into the near‐bed turbulent kinetic energy (TKE) to calculate the effective bed shear velocity, . The model, validated by experimental data, further showed that the thickness height of the near‐bed layer (effective bottom boundary layer), H b , varies with flow velocity and canopy density. Two additional models are provided to estimate H b and . The model is expected to provide critical information to future studies on sediment transport, landscape evolution, and water quality management in vegetated streams, wetlands, and estuaries.

Topics & Concepts

TurbulenceTurbulence kinetic energyTurbulence modelingBoundary layerEnvironmental scienceShear velocitySedimentVegetation (pathology)Sediment transportGeologyHydrology (agriculture)Open-channel flowFlow (mathematics)Shear stressLarge eddy simulationSoil scienceMechanicsGeomorphologyGeotechnical engineeringPathologyPhysicsMedicineHydrology and Sediment Transport ProcessesCoastal wetland ecosystem dynamicsSoil erosion and sediment transport
A Two‐Layer Turbulence‐Based Model to Predict Suspended Sediment Concentration in Flows With Aquatic Vegetation | Litcius