Observation and Parameterization of Bottom Shear Stress and Sediment Resuspension in a Large Shallow Lake

Abstract Parameterizations for bottom shear stress are required to predict sediment resuspension from field observations and within numerical models that do not resolve flow within the viscous sublayer. This study assessed three observation‐based bottom shear stress (τb) parameterizations, including...

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Main Authors: S. Lin, L. Boegman, A. Jabbari, R. Valipour, Y. Zhao
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-06-01
Series:Earth and Space Science
Subjects:
Online Access:https://doi.org/10.1029/2022EA002786
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author S. Lin
L. Boegman
A. Jabbari
R. Valipour
Y. Zhao
author_facet S. Lin
L. Boegman
A. Jabbari
R. Valipour
Y. Zhao
author_sort S. Lin
collection DOAJ
description Abstract Parameterizations for bottom shear stress are required to predict sediment resuspension from field observations and within numerical models that do not resolve flow within the viscous sublayer. This study assessed three observation‐based bottom shear stress (τb) parameterizations, including (a) the sum of surface wave stress and mean current (quadratic) stress (τb=τw+τc ${ au }_{b}={{ au }_{w}+ au }_{c}$); (b) the log‐law (τb = τL); and (c) the turbulent kinetic energy (τb = τTKE); using 2 years of observations from a large shallow lake. For this system, the parameterization τb = τw + τc was sufficient to qualitatively predict resuspension, since bottom currents and surface wave orbitals were the two major processes found to resuspend bottom sediments. However, the τL and τTKE parameterizations also captured the development of a nepheloid layer within the hypolimnion associated with high‐frequency internal waves. Reynolds‐averaged Navier‐Stokes (RANS) equation models parameterize τb as the summation of modeled current‐induced bottom stress (τc,m) and modeled surface wave‐induced bottom stress (τw,m). The performance of different parameterizations for τw,m and τc,m in RANS models was assessed against the observations. The optimal parameterizations yielded root‐mean‐square errors of 0.031 and 0.025 Pa, respectively, when τw,m, and τc,m were set using a constant canonical drag coefficient. A RANS‐based τL parameterization was developed; however, the grid‐averaged modeled dissipation did not always match local observations, leading to O(10) errors in prediction of bottom stress. Turbulence‐based parameterizations should be further developed for application to flows with mean shear‐free boundary turbulence.
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spelling doaj.art-553090cc861540589b6006578d57b4742023-06-28T17:34:35ZengAmerican Geophysical Union (AGU)Earth and Space Science2333-50842023-06-01106n/an/a10.1029/2022EA002786Observation and Parameterization of Bottom Shear Stress and Sediment Resuspension in a Large Shallow LakeS. Lin0L. Boegman1A. Jabbari2R. Valipour3Y. Zhao4Environmental Fluid Dynamics Laboratory Queen's University Kingston ON CanadaEnvironmental Fluid Dynamics Laboratory Queen's University Kingston ON CanadaFisheries and Oceans Canada Bedford Institute of Oceanography Dartmouth NS CanadaCanada Centre for Inland Waters Environment and Climate Change Canada Burlington ON CanadaAquatic Research and Monitoring Section Ontario Ministry of Natural Resources and Forestry Lake Erie Fishery Station Wheatley ON CanadaAbstract Parameterizations for bottom shear stress are required to predict sediment resuspension from field observations and within numerical models that do not resolve flow within the viscous sublayer. This study assessed three observation‐based bottom shear stress (τb) parameterizations, including (a) the sum of surface wave stress and mean current (quadratic) stress (τb=τw+τc ${ au }_{b}={{ au }_{w}+ au }_{c}$); (b) the log‐law (τb = τL); and (c) the turbulent kinetic energy (τb = τTKE); using 2 years of observations from a large shallow lake. For this system, the parameterization τb = τw + τc was sufficient to qualitatively predict resuspension, since bottom currents and surface wave orbitals were the two major processes found to resuspend bottom sediments. However, the τL and τTKE parameterizations also captured the development of a nepheloid layer within the hypolimnion associated with high‐frequency internal waves. Reynolds‐averaged Navier‐Stokes (RANS) equation models parameterize τb as the summation of modeled current‐induced bottom stress (τc,m) and modeled surface wave‐induced bottom stress (τw,m). The performance of different parameterizations for τw,m and τc,m in RANS models was assessed against the observations. The optimal parameterizations yielded root‐mean‐square errors of 0.031 and 0.025 Pa, respectively, when τw,m, and τc,m were set using a constant canonical drag coefficient. A RANS‐based τL parameterization was developed; however, the grid‐averaged modeled dissipation did not always match local observations, leading to O(10) errors in prediction of bottom stress. Turbulence‐based parameterizations should be further developed for application to flows with mean shear‐free boundary turbulence.https://doi.org/10.1029/2022EA002786bottom shear stressturbulent kinetic energyReynolds‐averaged Navier‐Stokes equation modelssediment resuspensionlarge shallow lake
spellingShingle S. Lin
L. Boegman
A. Jabbari
R. Valipour
Y. Zhao
Observation and Parameterization of Bottom Shear Stress and Sediment Resuspension in a Large Shallow Lake
Earth and Space Science
bottom shear stress
turbulent kinetic energy
Reynolds‐averaged Navier‐Stokes equation models
sediment resuspension
large shallow lake
title Observation and Parameterization of Bottom Shear Stress and Sediment Resuspension in a Large Shallow Lake
title_full Observation and Parameterization of Bottom Shear Stress and Sediment Resuspension in a Large Shallow Lake
title_fullStr Observation and Parameterization of Bottom Shear Stress and Sediment Resuspension in a Large Shallow Lake
title_full_unstemmed Observation and Parameterization of Bottom Shear Stress and Sediment Resuspension in a Large Shallow Lake
title_short Observation and Parameterization of Bottom Shear Stress and Sediment Resuspension in a Large Shallow Lake
title_sort observation and parameterization of bottom shear stress and sediment resuspension in a large shallow lake
topic bottom shear stress
turbulent kinetic energy
Reynolds‐averaged Navier‐Stokes equation models
sediment resuspension
large shallow lake
url https://doi.org/10.1029/2022EA002786
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AT rvalipour observationandparameterizationofbottomshearstressandsedimentresuspensioninalargeshallowlake
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