Bias in mean velocities and noise in variances and covariances measured using a multistatic acoustic profiler: The Nortek Vectrino Profiler
| Autor: | Laurent Schindfessel, Stuart J. McLelland, T. De Mulder, Stéphan Creëlle, Robert E. Thomas |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Physics
Observational error 010504 meteorology & atmospheric sciences Correlation coefficient business.industry Applied Mathematics 0208 environmental biotechnology 02 engineering and technology Reynolds stress 01 natural sciences Sound intensity 020801 environmental engineering Optics Amplitude Vertical direction Seeding Acoustic Doppler velocimetry business Instrumentation Engineering (miscellaneous) 0105 earth and related environmental sciences |
| ISSN: | 0957-0233 |
| Popis: | This paper compiles the technical characteristics and operating principles of the Nortek Vectrino Profiler and reviews previously reported user experiences. A series of experiments are then presented that investigate instrument behaviour and performance, with a particular focus on variations within the profile. First, controlled tests investigate the sensitivity of acoustic amplitude (and Signal-to-Noise Ratio, SNR) and pulse-to-pulse correlation coefficient, R2, to seeding concentration and cell geometry. Second, a novel methodology that systematically shifts profiling cells through a single absolute vertical position investigates the sensitivity of mean velocities, SNR and noise to: (a). emitted sound intensity and the presence (or absence) of acoustic seeding; and (b). varying flow rates under ideal acoustic seeding conditions. A new solution is derived to quantify the noise affecting the two orthogonal tristatic systems of the Vectrino Profiler and its contribution to components of the Reynolds stress tensor. Results suggest that for the Vectrino Profiler: 1. optimum acoustic seeding concentrations are ~3,000 to 6,000 mg L-1; 2. mean velocity magnitudes are biased by variable amounts in proximal cells but are consistently underestimated in distal cells; 3. noise varies parabolically with a minimum around the "sweet spot", 50 mm below the transceiver; 4. the receiver beams only intersect at the sweet spot and diverge nearer to and further from the transceiver. This divergence significantly reduces the size of the sampled area away from the sweet spot, reducing data quality; 5. the most reliable velocity data will normally be collected in the region between approximately 43 and 61 mm below the transceiver. |
| Databáze: | OpenAIRE |
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