Variability of turbulent quantities in the tidal bottom boundary layer: Case study in the eastern English Channel

Korotenko, Konstantin A.; Sentchev, Alexei; Schmitt, François G; Jouanneau, Nicolas

doi:10.1016/j.csr.2013.03.001

Cited by 25 publications

(29 citation statements)

References 40 publications

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“…Turbulence in tidal channels is typically generated by bottom shear given the lack of surface injected turbulence that is encountered in the coastal ocean. High levels of turbulence production are found near the bed and decrease strongly upward (Rippeth et al ., ; Wiles et al ., ; Razaz and Kawanisi, ; Korotenko et al ., ). High turbulence production is associated with peak flow conditions, with weaker turbulence close to slack tide (Rippeth et al ., , ; Ralston and Stacey, ; Wiles et al ., ), indicating that turbulence production is proportional to the mean current speed as might be expected.…”

Section: Introductionmentioning

confidence: 97%

Near‐bed shear stress, turbulence production and dissipation in a shallow and narrow tidal channel

Pieterse

Puleo

McKenna

et al. 2015

Earth Surf Processes Landf

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Near-bed, highly resolved velocity profiles were measured in the lower 0.03 m of the water column using acoustic Doppler profiling velocimeters in narrow tidal channels in a salt marsh. The bed shear stress was estimated from the velocity profiles using three methods: the log-law, Reynolds stress, and shear stress derived from the turbulent kinetic energy (TKE). Bed shear stresses were largest during ebbing tide, while near-bed velocities were larger during flooding tide. The Reynolds stress and TKE method gave similar results, while the log-law method resulted in smaller bed shear stress values during ebbing tide. Shear stresses and turbulent kinetic energy followed a similar trend with the largest peaks during ebbing tide. The maximum turbulent kinetic energy was on the order of 1 × 10 À 2 m 2 /s 2 . The fluid shear stress during flooding tide was approximately 30% of the fluid shear stress during ebbing tide. The maximum TKE-derived shear stress was 0.7 N/m 2 and 2.7 N/m 2 during flooding and ebbing tide, respectively, and occurred around 0.02 m above the bed. Turbulence dissipation was estimated using the frequency spectrum and structure function methods. Turbulence dissipation estimates from both methods were maximum near the bed (~0.01 m). Both the structure function and the frequency spectrum methods resulted in maximum dissipation estimates on the order of 4 × 10 À 3 m 2 /s 3 . Turbulence production exceeded turbulence dissipation at every phase of the tide, suggesting that advection and vertical diffusion are not negligible. However, turbulence production and dissipation were within a factor of 2 for 77% of the estimates. The turbulence production and dissipation decreased quickly away from the bed, suggesting that measurements higher in the water column cannot be translated directly to turbulence production and dissipation estimates near the bed.

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Section: Introductionmentioning

confidence: 97%

Near‐bed shear stress, turbulence production and dissipation in a shallow and narrow tidal channel

Pieterse

Puleo

McKenna

et al. 2015

Earth Surf Processes Landf

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“…[16], and Gunawan et al [17] have furthered the characterization of ocean turbulence by also examining energy spectra and spatial structure functions. Turbulence dissipation rates have also been measured in a small number of studies in the United Kingdom [18,19]. A more detailed description of energetic tidal channels using higher order statistics will reveal additional insights into the turbulent environment.…”

Section: Introductionmentioning

confidence: 98%

Characterization of turbulence anisotropy, coherence, and intermittency at a prospective tidal energy site: Observational data analysis

et al. 2015

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a b s t r a c tAs interest in marine renewable energy increases, observations are crucial for understanding the environments that prospective turbines will encounter. Data from an acoustic Doppler velocimeter in Puget Sound, WA are used to perform a detailed characterization of the turbulent flow encountered by a turbine in a tidal strait. Metrics such as turbulence intensity, structure functions, probability density functions, intermittency, coherent turbulence kinetic energy, anisotropy invariants, and a new scalar measure of anisotropy are used to characterize the turbulence. The results indicate that the scalar anisotropy magnitude can be used to identify and parameterize coherent, turbulent events in the flow. An analysis of the anisotropy characteristics leads to a physical description of turbulent stresses as being primarily one-or two-dimensional, in contrast to isotropic, three-dimensional turbulence. A new measure of the anisotropy magnitude is introduced to quantify the level of anisotropic, coherent turbulence in a coordinate-independent way. These diagnostics and results will be useful for improved realism in modeling the performance and loading of turbines in realistic ocean environments.

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“…For the rotating tidal current, the friction velocity u * estimated by a log profile is two times larger than that obtained directly by eddy correlation 〈 u ′ w ′〉 and 〈 v ′ w ′〉 (Lozovatsky et al, ). During the flood and ebb tides, the turbulent characteristics are different (Korotenko et al, ). The characteristics of the bottom shear stress in a tidal current system were also studied with acoustic Doppler current profiler (Korotenko et al, ; Lu & Lueck, , ; Nidzieko et al, ; Peters & Johns, ; Souza & Howarth, ; Stacey et al, ).…”

Section: Introductionmentioning

confidence: 99%

Observational Evidence of Surface Wave‐Generated Strong Ocean Turbulence

Dai

Guo

2020

JGR Oceans

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By using an acoustic Doppler velocimeter mounted on the seabed of the continental shelf of the northern South China Sea, high frequency velocity fluctuations were measured for 4.5 days. The turbulent kinetic energy dissipation rate was estimated. During the observation, the strong ocean response to Typhoon Rammasun was recorded to compare the turbulent characteristics before and during the typhoon. The results show that the turbulence near the seabed is mainly generated by the tidal current shear and exhibits a quarter diurnal variation during the period before the typhoon. During the typhoon period, the dissipation rate ε dramatically increased from 1 × 10−6 to 1 × 10−2 m2 s−3 within a short time, and the significant wave height and the surface wave orbital velocity showed the same tendency. This finding suggests that the turbulence is dominantly generated by the surface waves near the seabed.

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Variability of turbulent quantities in the tidal bottom boundary layer: Case study in the eastern English Channel

Cited by 25 publications

References 40 publications

Near‐bed shear stress, turbulence production and dissipation in a shallow and narrow tidal channel

Near‐bed shear stress, turbulence production and dissipation in a shallow and narrow tidal channel

Characterization of turbulence anisotropy, coherence, and intermittency at a prospective tidal energy site: Observational data analysis

Observational Evidence of Surface Wave‐Generated Strong Ocean Turbulence

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