Comparison of Fixed- and Moving-Vessel Flow Measurements with an aDp in a Large River

Szupiany, R. N.; Amsler, Mario L.; Best, James L.; Parsons, Daniel R.

doi:10.1061/(asce)0733-9429(2007)133:12(1299)

Cited by 112 publications

(120 citation statements)

References 29 publications

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“…However, averaging the velocity data over a longer time period will reduce the random errors (Simpson, 2001). By choosing a long sampling time, the turbulence flow pattern will be averaged out (Muste, Yu, Pratt, & Abraham, 2002;Szupiany, Amsler, Best, & Parsons, 2007). The average interval in this study was therefore set to 10 min, in order to reduce the uncertainty in the velocity data due to spatial resolution errors.…”

Section: Velocity Measurements By Adcpmentioning

confidence: 99%

Calibration of Horizontal Acoustic Doppler Current profilers by three dimensional CFD simulations

Bråtveit

Olsen

2015

Engineering Applications of Computational Fluid Mechanics

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This study presents a calibration method of horizontal acoustic Doppler current profilers (H-ADCP), based on 3D Computational Fluid Dynamics (CFD) simulations. Rigidly mounted H-ACCPs are currently used to continuously monitor water discharges. In this study three instruments were employed at separate sites in an unlined rock-blasted hydro power tunnel. The total discharge in the tunnel was predicted by fitting numerical and measured velocity profiles. The accuracy of the method was evaluated by comparing discharge predictions to results obtained by thermodynamic efficiency measurements. This study shows that 3D CFD simulations not only can be used to accurately calibrate H-ADCP, but also to assess the flow conditions at the locations of installation. An average error of 2% was obtained for the tunnel stretch that possessed the most uniform flow. However, the precision of the discharge estimates were confined by the CFD code's capability to correctly resolve the flow pattern.

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Section: Velocity Measurements By Adcpmentioning

confidence: 99%

Calibration of Horizontal Acoustic Doppler Current profilers by three dimensional CFD simulations

Bråtveit

Olsen

2015

Engineering Applications of Computational Fluid Mechanics

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“…The grid spacing is typically 0.5 m and 5 m in the vertical and spanwise directions, respectively. ADCP velocity measurements have contributions of mean flow, turbulence and error components [e.g., Szupiany et al, 2007;Hoitink et al, 2009;Sassi et al, 2011a]. SSC profiles derived from backscatter strength have similar contributions.…”

Section: Determination Of the Velocity And Sediment Concentration Fieldsmentioning

confidence: 99%

Sediment discharge division at two tidally influenced river bifurcations

Sassi

Hoitink

Vermeulen

et al. 2013

Water Resources Research

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[1] We characterize and quantify the sediment discharge division at two tidally influenced river bifurcations in response to mean flow and secondary circulation by employing a boatmounted acoustic Doppler current profiler (ADCP), to survey transects at bifurcating branches during a semidiurnal tidal cycle. The ADCP collecting flow velocity and acoustical backscatter data was used to quantify suspended sediment discharge, adopting a recently introduced calibration procedure. Measured profiles of flow velocity and sediment concentration allowed us to compute spatiotemporal distributions of the shear velocity, the roughness length and the Rouse number. Spatiotemporal distributions of the settling velocity were obtained by combining the Rouse number and shear velocity estimates with in situ measurements from a laser particle size analyzer. Bed-load transport rates were inferred from shear stress estimates. The concentration field shows a direct response to bed shear stress, stressing the alluvial context of the system. The flow in the bifurcation regions is characterized by counter rotating secondary-flow cells, which stretch over the full width and depth of the cross sections in the downstream branches, and persist throughout the entire tidal cycle. The pattern of secondary flow suggests the flow approaching the bifurcation is concentrated in two independent threads. A two-cell structure inhibits the exchange of sediment that would occur in case a single cell would stretch over the full channel width. The division of suspended sediment primarily depends on the upstream transverse profile of the suspended sediment concentration, which is in turn dependent on geometrical factors such as upstream curvature.

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“…ADCPs have been used to characterize mean velocity and turbulence intensity in rivers (Lemmin & Rolland 1997;Barua & Rahman 1998;Muste et al 2004a;Muste et al 2004b;Le Coz et al 2007;Stone and Hotchkiss 2007;Gunawan et al 2010a), oceans/tidal channels (Lohrmann et al 1990;Stacey et al 1999;Cheng et al 2000;Luznik et al 2007;Epler et al 2010;Thomson et al 2010) and laboratories (Nystrom et al 2007). ADCPs have also been used for measuring secondary current (Dinehart & Burau 2005a;Szupiany et al 2007;Gunawan et al 2010b;Gunawan et al 2010b), bed shear stress (Rennie et al 2002;Rennie & Church 2007;Sime et al 2007), dispersion coefficient (Carr & Rehmann 2007), sediment transports (Holmes & Garcia 2002;Dinehart & Burau 2005b;Merckelbach 2006;Klein 2003) and tidal flux (Turnipseed 2002). …”

Section: Acoustic Doppler Current Profiler Methodsmentioning

confidence: 99%

“…The ADCP transect data are obtained by traversing the ADCP in a river cross section. Averaging several transects together reduces the data fluctuation due to random errors and turbulence, and helps to obtain a clearer pattern of the secondary flow circulation (Dinehart and Burau 2005;Szupiany et al 2007;Gunawan et al 2010b). An example of a transect averaging result is shown in Figure 2.17.…”

Section: Spatial Averagingmentioning

confidence: 99%

“…Szupiany et al (2007) used a SonTek ADP (Acoustic Doppler Profiler) to measure the 3D velocity in River Parana, Argentina, at several cross sections of 600-2400m widths. Szupiany et al (2007) suggests that the finer detail of the existence of secondary flow cells can be obtained by averaging five transects. Le Coz et al (2007) used the IDW method to average the ADCP transect data obtained from a 100m wide river.…”

Section: Spatial Averagingmentioning

confidence: 99%

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Ornl Adcp Post-Processing Guide and Matlab Algorithms for MHK Site Flow and Turbulence Analysis

Gunawan

Neary²

2011

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Comparison of Fixed- and Moving-Vessel Flow Measurements with an aDp in a Large River

Cited by 112 publications

References 29 publications

Calibration of Horizontal Acoustic Doppler Current profilers by three dimensional CFD simulations

Calibration of Horizontal Acoustic Doppler Current profilers by three dimensional CFD simulations

Sediment discharge division at two tidally influenced river bifurcations

Ornl Adcp Post-Processing Guide and Matlab Algorithms for MHK Site Flow and Turbulence Analysis

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