2022
DOI: 10.1029/2021wr031527
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Aerial Observations and Numerical Simulations Confirm Density‐Driven Streamwise Vortices at a River Confluence

Abstract: The hydrodynamics of river confluences is a fascinating subject having attracted the attention of inquisitive minds for centuries (da Vinci & MacCurdy, 2009). The coherent flow structures generated within a confluence are key drivers of mixing and sediment transport. The roles of shear-induced vertically orientated Kelvin-Helmholtz (KH) instabilities (

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Cited by 13 publications
(59 citation statements)
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“…The validation, detailed in Duguay et al. (2022), supports that the numerical approach could accurately reproduce the mean surface velocity field measured by large‐scale particle image velocimetry and velocity profiles. The model was also validated against metrics derived from the aerial drone video taken on 9 July 2020, specifically the location and spatial scales of the primary streamwise orientated vortices and the frequencies and lateral scales of the large‐scale episodic pulses (see Figures 6 and 7 of Duguay et al.…”
Section: Methodsmentioning
confidence: 55%
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“…The validation, detailed in Duguay et al. (2022), supports that the numerical approach could accurately reproduce the mean surface velocity field measured by large‐scale particle image velocimetry and velocity profiles. The model was also validated against metrics derived from the aerial drone video taken on 9 July 2020, specifically the location and spatial scales of the primary streamwise orientated vortices and the frequencies and lateral scales of the large‐scale episodic pulses (see Figures 6 and 7 of Duguay et al.…”
Section: Methodsmentioning
confidence: 55%
“…The model was validated with field measurements obtained on 22 October 2020. The validation, detailed in Duguay et al (2022), supports that the numerical approach could accurately reproduce the mean surface velocity 2022)). These validations establish confidence in the model's ability to provide insights into coherent flow structure formation and interactions.…”
Section: Model Validationmentioning
confidence: 62%
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