Oceanic incoherent Doppler sonar spectral analysis by conventional and finite-parameter modeling methods

Hansen, D.

doi:10.1109/joe.1986.1145148

Cited by 11 publications

(2 citation statements)

References 25 publications

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“…The wideband echo from a mobile bed would not be processed well by such a technique. Signal processing that considers the entire spectrum may produce more accurate velocity estimates [e.g., Hansen , 1986]. Bed load velocity error would also be reduced by an increased bottom track pinging rate, which could be achieved if water column pinging was reduced or eliminated.…”

Section: Discussionmentioning

confidence: 99%

Site specificity of bed load measurement using an acoustic Doppler current profiler

Rennie

Villard²

2004

J. Geophys. Res.

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[1] Concurrent measurements of bed load transport velocity (v) from the bottom tracking feature of an acoustic Doppler current profiler (aDcp) and bed load transport rate (g b ) from conventional pressure difference samplers are presented. Data sets were collected from both gravel bed and sand bed reaches of the Fraser River, covering a bed material range of 0.25-25 mm. Strong relations, in which v explained >70% of the variability of measured g b , were observed in a gravel bed and a sand bed reach. Differences in correlation between v and g b among the contrasting environments are attributed to variations in both the bed load particle size and aDcp operating parameters. Similar values of v were associated with lower mass transport rates in a sand bed than in a gravel bed reach. A nondimensional data collapse, accounting for differences in bed load particle size, explained 42% of the observed variance of the combined data set. Longer averaging times were required in the gravel bed reach, likely due to the stochastic nature of bed load entrainment in gravels and the resulting heterogeneous bed load velocity field. Bed load transport was modeled using both shear stress models and a kinematic model that utilizes the estimated bed load velocity. The standard shear stress models provided poor matches to the measured bed load transport rates: the sand bed data were overpredicted, and the gravel bed predictions correlated poorly with the measured predictions. Use of the kinematic model yields an estimate for the product of bed load concentration and bed load layer depth. This work highlights the potential of acoustic techniques for estimating bed load.INDEX TERMS: 1815 Hydrology: Erosion and sedimentation; 1824 Hydrology: Geomorphology (1625); 1869 Hydrology: Stochastic processes; 1894 Hydrology: Instruments and techniques; KEYWORDS: bed load, aDcp, acoustic measurement, particle velocity, sediment, river Citation: Rennie, C. D., and P. V. Villard (2004), Site specificity of bed load measurement using an acoustic Doppler current profiler,

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Section: Discussionmentioning

confidence: 99%

Site specificity of bed load measurement using an acoustic Doppler current profiler

Rennie

Villard²

2004

J. Geophys. Res.

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“…Using the expression given in the , the intrinsic RMS velocity imprecision is 14 cm/s for the 3‐D measurements. This large error is due to the small amount of averaging relative to that used in acoustic Doppler current profilers [ Hansen , 1986]. This error is comparable in magnitude to the estimated velocities; consequently, the 3‐D snapshots can only provide an approximate picture of the plume velocity structure.…”

Section: Three‐dimensional Datamentioning

confidence: 99%

A method for Doppler acoustic measurement of black smoker flow fields

Jackson

Jones

Rona

et al. 2003

Geochem Geophys Geosyst

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[1] A method is developed for using multibeam sonar to map the flow velocity field of black smoker plumes. The method is used to obtain two-dimensional cross-sectional maps of vertical velocity, but is capable of mapping velocity in three dimensions. This is in contrast to conventional current meters, which measure only at several points and acoustic Doppler current profilers, whose diverging beams cannot readily map the interior of a plume. Geometric corrections are used to estimate the vertical component of velocity, compensating for ambient current. The method is demonstrated using data from the main plume at the Grotto vent complex in the Main Endeavour Field, Juan de Fuca Ridge, and the errors due to noise, signal fluctuations, and fluctuations in plume structure are estimated.

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