Technical Papers
Apr 14, 2012

Variance of Discharge Estimates Sampled Using Acoustic Doppler Current Profilers from Moving Platforms

Publication: Journal of Hydraulic Engineering
Volume 138, Issue 8

Abstract

This paper presents a model for quantifying the random errors (i.e., variance) of acoustic Doppler current profiler (ADCP) discharge measurements from moving platforms associated with different sampling times. The model focuses on the random processes in the sampled flow field and has been developed using statistical methods that are currently available for the uncertainty analysis of velocity time series. Analysis of field data that were collected using ADCP from moving platforms from three natural rivers of varying sizes and flow conditions shows that, even though the estimate of the integral time scale of the actual turbulent flow field is larger than the sampling interval, the integral time scale of the sampled flow field is in keeping with the sampling interval. Thus, an equation for computing the variance error in discharge measurements associated with different sampling times, assuming uncorrelated flow fields, is appropriate. The approach is used to help define optimal sampling strategies by choosing the exposure time required for ADCPs to accurately measure flow discharge.

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Acknowledgments

The authors acknowledge the funding and support from the USGS, Office of Surface Water. They also gratefully acknowledge Dr. Chris Rehmann, Iowa State University, for his constructive comments that inspired this work.
The use of trade, product, or firm names in this paper is for descriptive purposes only and does not imply endorsement by the U.S. government.

Disclaimer

Use of trade, product, or firm names in this paper is for descriptive purposes only and does not imply endorsement by the U.S. government.

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Published In

Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 138Issue 8August 2012
Pages: 684 - 694

History

Received: Mar 26, 2011
Accepted: Apr 12, 2012
Published online: Apr 14, 2012
Published in print: Aug 1, 2012

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Authors

Affiliations

Carlos M. García [email protected]
Professor, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Centro de Estudios y Tecnología del Agua, Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Av. Filloy s/n, Ciudad Universitaria, Córdoba, Argentina (corresponding author). E-mail: [email protected]
Leticia Tarrab [email protected]
Research Assistant, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Centro de Estudios y Tecnología del Agua, Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Av. Filloy s/n, Ciudad Universitaria, Córdoba, Argentina. E-mail: [email protected]
Kevin Oberg [email protected]
Hydrologist, U.S. Geological Survey, Office of Surface Water, 1201 W. University Ave., Urbana, IL 61801. E-mail: [email protected]
Ricardo Szupiany [email protected]
Professor, Facultad de Ingeniería y Ciencias Hídricas, Centro Internacional de Estudios de Grandes Ríos (CIEGRI), Universidad Nacional del Litoral, Ciudad Universitaria, C.C. 217, Ruta Nacional N° 168 - Km. 472 (3000) Santa Fe, Argentina. E-mail: [email protected]
Mariano I. Cantero [email protected]
Professor, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) Centro Atómico Bariloche, Comisión Nacional de Energía Atómica, Instituto Balseiro, Universidad Nacional de Cuyo, Bustillo 9500, San Carlos de Bariloche, Río Negro, Argentina. E-mail: [email protected]

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