Abstract: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 gav… Show more
“…As seen in other studies, all three methods produced results with similar patterns, but peak magnitudes showed considerable differences ( e.g. , ( Kim et al, 2000 ; Sherwood, Lacy & Voulgaris, 2006 ; Pieterse et al, 2015 )). Because the covariance method is less affected by local conditions ( e.g.…”
Section: Methodssupporting
confidence: 81%
“…Multiple methods are commonly used and compared, as methods can be biased by local conditions such as waves, stratification, and bedforms ( e.g. , Sherwood, Lacy & Voulgaris, 2006 ; Pieterse et al, 2015 ). The logarithmic profile method assumes a logarithmic velocity profile using the von Karman-Prandtl equation.…”
The benthic impact of aquaculture waste depends on the area and extent of waste accumulation on the sediment surface below and around the farm. In this study we investigated the effect of flow on biodeposit transport and initial deposition by calculating a rough aquaculture “footprint” around an oyster aquaculture farm in the Damariscotta River, ME. We also compared a site under the farm to a downstream “away” site calculated to be within the footprint of the farm. We found similar sediment biogeochemical fluxes, geochemical properties and macrofaunal communities at the site under the farm and the away site, as well as low organic enrichment at both sites, indicating that biodeposition in this environment likely does not have a major influence on the benthos. To predict accumulation of biodeposits, we measured sediment erodibility under a range of shear stresses and found slightly higher erosion rates at the farm than at the away site. A microalgal mat was observed at the sediment surface in many sediment cores. Partial failure of the microalgal mat was observed at high shear velocity, suggesting that the mat may fail and surface sediment erode at shear velocities comparable to or greater than those calculated fromin situ flow measurements. However, this study took place during neap tide, and it is likely that peak bottom velocities during spring tides are high enough to periodically “clear” under-farm sediment of recent deposits.
“…As seen in other studies, all three methods produced results with similar patterns, but peak magnitudes showed considerable differences ( e.g. , ( Kim et al, 2000 ; Sherwood, Lacy & Voulgaris, 2006 ; Pieterse et al, 2015 )). Because the covariance method is less affected by local conditions ( e.g.…”
Section: Methodssupporting
confidence: 81%
“…Multiple methods are commonly used and compared, as methods can be biased by local conditions such as waves, stratification, and bedforms ( e.g. , Sherwood, Lacy & Voulgaris, 2006 ; Pieterse et al, 2015 ). The logarithmic profile method assumes a logarithmic velocity profile using the von Karman-Prandtl equation.…”
The benthic impact of aquaculture waste depends on the area and extent of waste accumulation on the sediment surface below and around the farm. In this study we investigated the effect of flow on biodeposit transport and initial deposition by calculating a rough aquaculture “footprint” around an oyster aquaculture farm in the Damariscotta River, ME. We also compared a site under the farm to a downstream “away” site calculated to be within the footprint of the farm. We found similar sediment biogeochemical fluxes, geochemical properties and macrofaunal communities at the site under the farm and the away site, as well as low organic enrichment at both sites, indicating that biodeposition in this environment likely does not have a major influence on the benthos. To predict accumulation of biodeposits, we measured sediment erodibility under a range of shear stresses and found slightly higher erosion rates at the farm than at the away site. A microalgal mat was observed at the sediment surface in many sediment cores. Partial failure of the microalgal mat was observed at high shear velocity, suggesting that the mat may fail and surface sediment erode at shear velocities comparable to or greater than those calculated fromin situ flow measurements. However, this study took place during neap tide, and it is likely that peak bottom velocities during spring tides are high enough to periodically “clear” under-farm sediment of recent deposits.
“…Turbulence-related parameters were derived from the rotated fluctuating velocity components. The linear elements of the stress tensor, corresponding to the interaction between the horizontal and vertical components, were used for calculating the shear stresses at the sampling location (Pieterse et al 2015):…”
The influence of substrate type and particle age on the remobilization of settled Atlantic salmon Salmo salar faecal material was studied through a set of controlled experiments in horizontal flow flumes, simulating different bottom conditions present in fish-farming locations along the coast of Norway. There was no significant effect of pellet age on remobilization for up to 1 week old faecal material, but critical shear stresses (τc) and velocities required for resuspending faecal pellets were strongly dependent on substrate type. Smooth substrates such as mud and rock slate required lower stresses for the onset of faeces resuspension (τc %%CONV_ERR%% 0.06 Pa) than rougher surfaces such as sand (τc %%CONV_ERR%% 0.12 Pa) or fragmented rock (τc %%CONV_ERR%% 0.32 Pa), where bedforms and large fractures shield the particles from the direct influence of the drag forces. These newly determined substrate-dependent τc resuspension thresholds will contribute to the construction of more accurate numerical models that include bottom type as a parameter regulating the extent of particle spreading, in contrast to the constant-value approach that has been used to date.
“…By default, the Vectrino profiler reports velocities along a 3.5 cm long profile ranging from 4 to 7.5 cm below the emitter. The profiler has already been used in situ to characterize the fluid flow at high resolution in tidal boundary layers [ Pieterse et al ., ; Wengrove and Foster , ]. In a recent study, Brand et al .…”
Section: Introductionmentioning
confidence: 99%
“…By default, the Vectrino profiler reports velocities along a 3.5 cm long profile ranging from 4 to 7.5 cm below the emitter. The profiler has already been used in situ to characterize the fluid flow at high resolution in tidal boundary layers [Pieterse et al, 2015;Wengrove and Foster, 2014]. In a recent study, Brand et al [2016] noticed that flow and turbulence statistics are most reliable in a rather narrow range which corresponds the point of maximum overlap sampled by the different receivers (this so-called sweet spot is located approximately 5 cm below emitter), while mean velocities are trustworthy over a 2 cm long vertical profile ranging from 4 to 6 cm below the emitter.…”
A bistatic high‐resolution acoustic profiler was used in order to characterize the lowermost boundary layer of a run of the river reservoir. The profiler allows determining the statistics of the three‐dimensional flow field at a single point (sweet spot) as well as the measurement of the time averaged flow velocity profiles at 1 mm resolution around the sweet spot. Therefore, in addition to the flow statistics provided by single point acoustic Doppler profilers, mixing coefficients as well as production of turbulent kinetic energy can be calculated using a single device. Fitting of semiempirical relations to observed cospectra allowed eliminating artifacts as they result from coordinate system rotation during calculation of Reynolds stress profiles at millimeter resolution. While most parameters showed characteristics of a constant stress layer, length scales indicated anisotropy of the turbulent flow. Under these anisotropic near wall conditions, we found that the use of the commonly accepted Kolmogorov constants for the determination of dissipation rates using the inertial dissipation method is not valid any more. Instead, these constants vary with distance from the sediment water interface. We provide evidence that coefficients determined by numerical simulations are the appropriate choice also in field applications. In addition we resolved the viscous boundary layer close to the sediment‐water interface in high resolution (1 mm) profiles and identified a double logarithmic layer above 1.5 cm at one location. The discrepancy of the scales as well as the double logarithmic layer suggests the existence of roughness elements upstream of the measurement sites.
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