The sea bed boundary layer under random waves plus current

Holmedal, Lars Erik; Myrhaug, Dag; Rue, Håvard

doi:10.1016/s0278-4343(03)00020-7

Cited by 54 publications

(45 citation statements)

References 31 publications

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“…A variety of models have been developed for predicting combined wave-and current-induced bottom shear stress (see Holmedal et al, 2003;Shi and Wang, 2008;Soulsby et al, 1993;and references therein). In this study, the Grant-Madsen (GM) formulation was used.…”

Section: Calculation Of Bottom Shear Stressmentioning

confidence: 99%

Characterizing wave- and current- induced bottom shear stress: U.S. middle Atlantic continental shelf

Dalyander

Butman

Sherwood

et al. 2013

Continental Shelf Research

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a b s t r a c tWaves and currents create bottom shear stress, a force at the seabed that influences sediment texture distribution, micro-topography, habitat, and anthropogenic use. This paper presents a methodology for assessing the magnitude, variability, and driving mechanisms of bottom stress and resultant sediment mobility on regional scales using numerical model output. The analysis was applied to the Middle Atlantic Bight (MAB), off the U.S. East Coast, and identified a tidally-dominated shallow region with relatively high stress southeast of Massachusetts over Nantucket Shoals, where sediment mobility thresholds are exceeded over 50% of the time; a coastal band extending offshore to about 30 m water depth dominated by waves, where mobility occurs more than 20% of the time; and a quiescent low stress region southeast of Long Island, approximately coincident with an area of fine-grained sediments called the ''Mud Patch''. The regional high in stress and mobility over Nantucket Shoals supports the hypothesis that fine grain sediment winnowed away in this region maintains the Mud Patch to the southwest. The analysis identified waves as the driving mechanism for stress throughout most of the MAB, excluding Nantucket Shoals and sheltered coastal bays where tides dominate; however, the relative dominance of low-frequency events varied regionally, and increased southward toward Cape Hatteras. The correlation between wave stress and local wind stress was lowest in the central MAB, indicating a relatively high contribution of swell to bottom stress in this area, rather than locally generated waves. Accurate prediction of the wave energy spectrum was critical to produce good estimates of bottom shear stress, which was sensitive to energy in the long period waves.Published by Elsevier Ltd.

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Section: Calculation Of Bottom Shear Stressmentioning

confidence: 99%

Characterizing wave- and current- induced bottom shear stress: U.S. middle Atlantic continental shelf

Dalyander

Butman

Sherwood

et al. 2013

Continental Shelf Research

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“…The validity of this approach was confirmed for seabed shear stresses by Holmedal et al [19] for high values of A/z 0 (z30000). Characteristic statistical values of the resulting seabed shear stress amplitude deviated less than 20% from those obtained by the Monte Carlo simulation method by Holmedal et al [18].…”

Section: Generalmentioning

confidence: 60%

“…Previous studies of bottom friction beneath random waves have been undertaken by Madsen [10][11][12][13][14][15][16][17][18][19] as well as Myrhaug and Holmedal [20][21][22]. Madsen [10] gave explicit wave friction factor formulas for spectral wave-current boundary layer flow.…”

Section: Introductionmentioning

confidence: 99%

“…Shear stress amplitudes under random waves plus current have been calculated by Holmedal et al [18] using Monte Carlo simulations of Soulsby [23] parameterized wave-current friction factor formulas valid for sinusoidal waves plus current. Holmedal et al [19] used a dynamic eddy viscosity (kK3) model to investigate the seabed boundary layer under random waves plus current. Myrhaug and Holmedal [20] extended Myrhaug et al [14] approach to calculate the bottom friction in nonlinear random waves plus current flow near a rough bed in the lower near-bed excursion amplitude to bed roughness range.…”

Section: Introductionmentioning

confidence: 99%

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Bottom friction and bedload sediment transport caused by boundary layer streaming beneath random waves

Myrhaug

Holmedal

Rue

2004

Applied Ocean Research

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“…The thickness of the BBL is generally of the order of meters above the seabed. There has been a large amount of work devoted to the study of the BBL and sediment dynamics on the shoreface, e.g., Holmedal et al (2003), Kim et al (2000) and Styles et al (2000). We study the BBL dynamics in the near-field of a multiport ocean outfall with submerged buoyant jets discharging in the vicinity of the sea bottom into the ambient flows.…”

Section: Introductionmentioning

confidence: 99%

Modeling of the near-field distribution of pollutants coming from a coastal outfall

Lyubimova

Roux

Luo

et al. 2013

Nonlin. Processes Geophys.

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The present study concerns the 3-D distribution of pollutants emitted from a coastal outfall in the presence of strong sea currents. The problem is solved using the nonlinear Reynolds-averaged Navier–Stokes equations in the framework of the k-ε model. The constants of the logarithmic law for the vertical velocity profile in the bottom boundary layer are obtained by processing experimental data from acoustic Doppler current profilers (ADCPs). The near-field distribution of pollutants at different distances from the diffuser is obtained in terms of the ambient flow velocity (steady or with tidal effect) and outfall discharge characteristics. It is shown that even in the case where the effluent density is substantially lower than the ambient sea water density the plume can impact the seabed, creating a risk of pollution of removable bottom sediments

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The sea bed boundary layer under random waves plus current

Cited by 54 publications

References 31 publications

Characterizing wave- and current- induced bottom shear stress: U.S. middle Atlantic continental shelf

Characterizing wave- and current- induced bottom shear stress: U.S. middle Atlantic continental shelf

Bottom friction and bedload sediment transport caused by boundary layer streaming beneath random waves

Modeling of the near-field distribution of pollutants coming from a coastal outfall

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