2001
DOI: 10.1002/esp.195
|View full text |Cite
|
Sign up to set email alerts
|

Three‐dimensional flow structure around small‐scale bedforms in a simulated gravel‐bed environment

Abstract: Pebble clusters are common small-scale morphological features in gravel-bed rivers, occupying as much as 10 per cent of the bed surface. Important links exist between the presence of pebble clusters and the development of flow structures. These links are poorly understood at the three-dimensional level. Particularly neglected has been the effect of clusters on the lateral flow characteristics. A laboratory study was conducted using a hydraulic flume, within which simulated pebble clusters were superimposed ont… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

6
64
0

Year Published

2005
2005
2017
2017

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 80 publications
(70 citation statements)
references
References 24 publications
(58 reference statements)
6
64
0
Order By: Relevance
“…Clusters have been observed to have an impact on the local dynamics of gravel bed rivers by introducing perturbations from a non-clustered state in bed stability Wittenberg and Newson, 2005), downstream particle movement (Billi, 1988), bedload transport rates (Strom et al, 2004), overall flow resistance (Hassan and Reid, 1990;, and local flow field characteristics (Buffin-Bélanger and Roy, 1998;Lawless and Robert, 2001;Strom et al, 2007b). In addition to studying the local dynamic environment created by clusters, it is also of interest to understand the conditions that are conducive to cluster formation within a stream reach and/or stream-network; such knowledge would be analogous to our understanding of the conditions that induce particular types of sand bedforms (e.g., Simons and Richardson, 1961).…”
Section: Introductionmentioning
confidence: 99%
“…Clusters have been observed to have an impact on the local dynamics of gravel bed rivers by introducing perturbations from a non-clustered state in bed stability Wittenberg and Newson, 2005), downstream particle movement (Billi, 1988), bedload transport rates (Strom et al, 2004), overall flow resistance (Hassan and Reid, 1990;, and local flow field characteristics (Buffin-Bélanger and Roy, 1998;Lawless and Robert, 2001;Strom et al, 2007b). In addition to studying the local dynamic environment created by clusters, it is also of interest to understand the conditions that are conducive to cluster formation within a stream reach and/or stream-network; such knowledge would be analogous to our understanding of the conditions that induce particular types of sand bedforms (e.g., Simons and Richardson, 1961).…”
Section: Introductionmentioning
confidence: 99%
“…These macroturbulent structures play an important role in sediment transport (e.g., Shvidchenko and Pender, 2001;Wu and Yang, 2004) and persist in the presence of roughness transitions (Robert et al, 1996), protruding clasts (Kirkbride, 1993;Smart, 1994;Buffin-Belanger and Roy, 1998;Lawless and Robert, 2001b) scales of topographic variability (Clifford et al, 1992;Clifford, 1996;Lawless and Robert, 2001a).…”
Section: Introductionmentioning
confidence: 99%
“…Widely used electromagnetic current meters provide only two components of velocity, most often the streamwise and vertical, and field data sets typically consist of only a few profile measurements along downstream transects (e.g., Robert et al, 1996). While some researchers have addressed the lateral dimension (e.g., Lawless and Robert, 2001b;Roy et al, 2004), their measurements have not spanned the entire width of natural channels. In general, the difficulty of acquiring detailed measurements of flow velocity and bed elevation under field conditions has limited the spatial extent of previous studies, and our knowledge of the variability and spatial pattern of velocity and turbulence intensity at the reach scale remains incomplete.…”
Section: Introductionmentioning
confidence: 99%
“…Compared with biologists, hydraulic engineers view the fluvial environment through the application of computational fluid dynamic (CFD) models, routing water mass and momentum among a modeler defined numerical mesh space [99]. Turbulence modeled at a micro-scale are a function of Reynolds stresses of fluid motion and boundary layer resistance are scaled to topography and in stream structures [254][255][256][257][258][259]. Discipline differences are best exemplified by the use of the term "turbulence", where biologists refer to it as "wavy" surface waters as criteria for mesohabitat classification and hydraulic engineers apply CFD at the micro-scale noted above [58,63].…”
Section: Framework For Classification Of Multi-stage Ecohydraulics-bamentioning
confidence: 99%