The assessment of an acoustic Doppler velocimetry profiler from a user’s perspective

• Autorzy: Liu Da , Alobaidi Khaldoon , Valyrakis Manousos

Identyfikatory

DOI

10.1007/s11600-022-00896-3

• Języki publikacji: EN

Abstrakty

EN

Acoustic Doppler velocimetry profilers (ADVPs) are widely used in both experimental and field studies because of their robustness in velocity measurements. The acquired measurements do not only offer estimates of the local and instantaneous flow velocity at the interrogated measurement volume, but can also be further processed for the estimation of the bed surface shear stresses, thus they are finding a wide range of applications ranging from water engineering to geomorphology and ecohydraulics. This study aims to evaluate the performance of an ADVP in obtaining hydrodynamics measurements under fixed flow conditions, with various probe configurations. To this goal, a robust search is conducted where ADVP probe settings are sequentially altered. A number of assessment criteria are used including qualitative observations, such as checking the shape of the velocity profile, as well as quantitative error metrics, including signal-to-noise ratio, correlations and number of spikes. Further, estimation of the bed shear stresses computed by means of using the log Law of the Wall and turbulent kinetic energy, allow obtaining a better understanding of the uncertainties involved and the importance of making a better informed choice with respect to the probe configuration settings. Thus, the methodology and performance metrics provided herein, although presented for a given flow, can generally be applied from practitioners and researchers alike.

Słowa kluczowe

EN

flow velocity; shear stress; turbulence; turbulent kinetic energy; acoustic Doppler velocimetry profilers

PL

prędkość przepływu; naprężenie ścinające; turbulencja

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2022
• Tom: Vol. 70, no 5
• Strony: 2297--2310
• Opis fizyczny: Bibliogr. 30 poz.

Twórcy

autor

Liu Da

• Water Engineering Lab, School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK

autor

Alobaidi Khaldoon

• Water Engineering Lab, School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK

autor

Valyrakis Manousos

• Water Engineering Lab, School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK

• https://orcid.org/0000-0001-9245-8817

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).