GSTDTAP  > 气候变化
DOI10.1029/2020GL091255
A Two‐Layer Turbulence‐based Model to Predict Suspended Sediment Concentration in Flows with Aquatic Vegetation
Chien‐; Yung Tseng; Rafael O. Tinoco
2020-12-22
发表期刊Geophysical Research Letters
出版年2020
英文摘要

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, urn:x-wiley:00948276:media:grl61743:grl61743-math-0001. The model, validated by experimental data, further showed that the thickness height of the near‐bed layer (effective bottom boundary layer), Hb, varies with flow velocity and canopy density. Two additional models are provided to estimate Hb and urn:x-wiley:00948276:media:grl61743:grl61743-math-0002. 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.

领域气候变化
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/309057
专题气候变化
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GB/T 7714
Chien‐,Yung Tseng,Rafael O. Tinoco. A Two‐Layer Turbulence‐based Model to Predict Suspended Sediment Concentration in Flows with Aquatic Vegetation[J]. Geophysical Research Letters,2020.
APA Chien‐,Yung Tseng,&Rafael O. Tinoco.(2020).A Two‐Layer Turbulence‐based Model to Predict Suspended Sediment Concentration in Flows with Aquatic Vegetation.Geophysical Research Letters.
MLA Chien‐,et al."A Two‐Layer Turbulence‐based Model to Predict Suspended Sediment Concentration in Flows with Aquatic Vegetation".Geophysical Research Letters (2020).
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