Practical aspects of ADCP data use for quantification of mean river flow characteristics; Part I: moving-vessel measurements

Muste, Marian; Yu, Kun; Pratt, Thad C.; Abraham, David D.

doi:10.1016/j.flowmeasinst.2003.09.001

Cited by 162 publications

(97 citation statements)

References 16 publications

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“…Yorke and Oberg, 2002;Muste et al, 2004). Flow velocities for each position were finally converted from beam coordinates into an Earth referenced co-ordinate system, using the simultaneous measurements made by the aDcp's 'on-board' attitude and gyro sensor.…”

Section: Field Site Methodsmentioning

confidence: 99%

“…Such spatial and temporal 'double' averaging across each section was used in an attempt to remove some of the higher frequency turbulence and dGPS positional variations from the final aDcp results. Although using only one transect per section, with such double averaging, may have some drawbacks with regards to reducing spatial resolution and obtaining fully time-averaged results (see, e.g., Muste et al, 2004;Dinehart and Burau, 2005), Szupiany et al (submitted) show that single transects with suitable averaging intervals are adequate to describe the flow through a section, including the larger scale secondary flow fields. The boat velocity and track position along each of the survey lines were monitored online during the survey and were held as constant as possible by the helmsman during surveying, with the boat velocity being approximately 1 m s −1 .…”

Section: Field Site Methodsmentioning

confidence: 99%

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Form roughness and the absence of secondary flow in a large confluence–diffluence, Rio Paraná, Argentina

Parsons

Best

Lane

et al. 2006

Earth Surf Processes Landf

163

133

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Confluence-diffluence units are key elements within many river networks, having a major impact upon the routing of flow and sediment, and hence upon channel change. Although much progress has been made in understanding river confluences, and increasing attention is being paid to bifurcations and the important role of bifurcation asymmetry, most studies have been conducted in laboratory flumes or within small rivers with width:depth (aspect) ratios less than 50. This paper presents results of a field-based study that details the bed morphology and 3D flow structure within a very large confluence-diffluence in the Río Paraná, Argentina, with a width:depth ratio of approximately 200. Flow within the confluence-diffluence is dominated largely by the bed roughness, in the form of sand dunes; coherent, channel-scale, secondary flow cells, that have been identified as important aspects of the flow field within smaller channels, and assumed to be present within large rivers, are generally absent in this reach. This finding has profound implications for flow mixing rates, sediment transport rates and pathways, and thus the interpretation of confluence-diffluence morphology and sedimentology.

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Section: Field Site Methodsmentioning

confidence: 99%

Section: Field Site Methodsmentioning

confidence: 99%

Form roughness and the absence of secondary flow in a large confluence–diffluence, Rio Paraná, Argentina

Parsons

Best

Lane

et al. 2006

Earth Surf Processes Landf

163

133

View full text Add to dashboard Cite

show abstract

“…En fonction du diamètre de la céramique, de la hauteur des cellules et de l'ouverture du faisceau acoustique (cf. § III.2), le volume d'échantillon-nage peut mesurer typiquement de quelques cm 3 à plus de 1000 cm 3 [Muste et al 2004c]. …”

Section: Mesures Hydrologiquesunclassified

Emplois de l’aDcp en rivière : une revue de synthèse

Coz¹,

Chastan²,

Vedie³

et al. 2007

La Houille Blanche

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“…The principles of the operation of ADCPs are described in great detail, for instance, in Muste et al [9] and Gunawan et al [10]. Briefly, ADCP measurements derive flow velocity from the Doppler shift of the measured return of an emitted acoustic signal that is reflected off suspended matter in the water column.…”

Section: Introductionmentioning

confidence: 99%

Empirical Modeling of Spatial 3D Flow Characteristics Using a Remote-Controlled ADCP System: Monitoring a Spring Flood

Flener

Wang

Laamanen

et al. 2015

Water

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The use of acoustic Doppler current profilers (ADCP) for measuring streamflow and discharge is becoming increasingly widespread. The spatial distribution of flow patterns is useful data in studying riverine habitats and geomorphology. Until now, most flow mapping has focused on measurements along a series of transects in a channel. Here, we set out to measure, model and analyze the 3D flow characteristics of a natural river over a continuous areal extent, quantifying flow velocity, 3D flow directions, volumes, water depth and their changes over time. We achieved multidimensional spatial flow measurements by deploying an ADCP on a remotely-controlled boat, combined with kinematic GNSS positioning and locally-monitored water level data. We processed this data into a 3D point cloud of accurately positioned individual 3D flow measurements that allows the visual analysis of flow velocities, directions and channel morphology in 3D space. We demonstrate how this allows monitoring changes of flow patterns with a time series of flow point clouds measured over the period of a spring flood in Finnish Lapland. Furthermore, interpolating the raw point cloud onto a 3D matrix allows us to quantify volumetric flow while reducing Water 2015, 7 218 noise in the data. We can now quantify the volumes of water moving at certain velocities in a given reach and their location in 3D space, allowing, for instance, the monitoring of the high-velocity core and its changes over time.

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Practical aspects of ADCP data use for quantification of mean river flow characteristics; Part I: moving-vessel measurements

Cited by 162 publications

References 16 publications

Form roughness and the absence of secondary flow in a large confluence–diffluence, Rio Paraná, Argentina

Form roughness and the absence of secondary flow in a large confluence–diffluence, Rio Paraná, Argentina

Emplois de l’aDcp en rivière : une revue de synthèse

Empirical Modeling of Spatial 3D Flow Characteristics Using a Remote-Controlled ADCP System: Monitoring a Spring Flood

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