2012
DOI: 10.1061/(asce)hy.1943-7900.0000554
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Gravel-Bed Hydrodynamics: Double-Averaging Approach

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Cited by 90 publications
(88 citation statements)
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“…Thus, differences in velocity sampling as well as relative submergence could contribute to the variation in values between all the studies in Table . However it is unclear how differences in bed topography influence the variation for three reasons: (i) in the present study, when differences in spatial flow variance and form‐induced stress were analyzed against different roughness properties (e.g., standard deviation in bed elevation, geometric roughness height, and grain‐size percentiles) no systematic change was found; (ii) Dey and Das [], in comparing their form‐induced stress values to those measured by Mignot et al . [] and Sarkar and Dey [], showed that form‐induced stress increases with roughness size.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, differences in velocity sampling as well as relative submergence could contribute to the variation in values between all the studies in Table . However it is unclear how differences in bed topography influence the variation for three reasons: (i) in the present study, when differences in spatial flow variance and form‐induced stress were analyzed against different roughness properties (e.g., standard deviation in bed elevation, geometric roughness height, and grain‐size percentiles) no systematic change was found; (ii) Dey and Das [], in comparing their form‐induced stress values to those measured by Mignot et al . [] and Sarkar and Dey [], showed that form‐induced stress increases with roughness size.…”
Section: Discussionmentioning
confidence: 99%
“…[], they somewhat differ from findings of Manes et al . [] and Dey and Das [] who revealed fairly sharp peaks of true〈trueui2true〉1/2/u* at the roughness crests. The form‐induced intensity true〈trueuw2true〉1/2/u* assumes values at the gravel crests ranging between 0.2 and 0.3, similar to those obtained by Manes et al .…”
Section: Flow Structurementioning
confidence: 91%
“…The raw Vectrino data were despiked by the acceleration threshold method (Goring and Nikora, 2002), which was capable in identifying and substituting spikes. The threshold values were chosen in the ranges between 1-1.5 by trial and error (Dey and Das, 2012).…”
Section: Experimental Facilitymentioning
confidence: 99%