2008
DOI: 10.1029/2008wr006992
|View full text |Cite
|
Sign up to set email alerts
|

Stability of delta distributary networks and their bifurcations

Abstract: [1] Delta distributary networks are created by bifurcating channels that commonly split their discharges unequally. The origin and stability of these asymmetrical fine-grained cohesive bifurcations are investigated here using Delft3D, a morphodynamic flow and sediment transport model. Results are compared to bifurcations on the Mossy delta, Saskatchewan, Canada, that have remained stable for decades. Over a range of channel aspect ratios, friction factors, and Shields numbers, we find three equilibrium functio… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

12
150
1

Year Published

2010
2010
2015
2015

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 122 publications
(165 citation statements)
references
References 40 publications
12
150
1
Order By: Relevance
“…This means that despite the variation in the ratio of depth and/or width, the flow tends to have the same mean velocity in both branches. Also, both FlowRCM and Delft3D predict a water surface gradient in the shallower branch that is significantly higher than the one in the deeper branch, consistent with field observations by Edmonds and Slingerland (2008). An example of flow field and water surface elevation (test C3) is plotted in Fig.…”
Section: Test 2: Flow Around a Mouth Barsupporting
confidence: 69%
See 2 more Smart Citations
“…This means that despite the variation in the ratio of depth and/or width, the flow tends to have the same mean velocity in both branches. Also, both FlowRCM and Delft3D predict a water surface gradient in the shallower branch that is significantly higher than the one in the deeper branch, consistent with field observations by Edmonds and Slingerland (2008). An example of flow field and water surface elevation (test C3) is plotted in Fig.…”
Section: Test 2: Flow Around a Mouth Barsupporting
confidence: 69%
“…Nevertheless, the gradient in the surface profile is essential to water motion in deltaic environments (Edmonds and Slingerland, 2008). As mentioned in the previous section, FlowRCM estimates the water surface based on the assumption of a 1-D surface profile along flow streamlines.…”
Section: Test 1: Backwater Profile In a Straight Channelmentioning
confidence: 99%
See 1 more Smart Citation
“…Physically conceptual models to predict the hydraulic and geomorphic conditions for an avulsion process were developed by many authors (Mackey and Bridge, 1995;Slingerland and Smith, 1998;Barbe et al, 2000;Winer and Raphelt, 2005;Edmonds and Slingerland, 2008;Letter et al, 2008). They showed that the avulsion depends on the main channel to former meander channel bed slopes ratio, the bed grain size, water surface elevation at the bifurcation areas, the diversion angle, etc.…”
Section: Local Control Factors Governing the Distribution Of Flow Energymentioning
confidence: 99%
“…Furthermore, these studies considered isolated bifurcations, whereas in natural delta networks the bifurcations are interconnected. For instance, the presence of a bifurcation produces a backwater slope that extends upstream [Edmonds and Slingerland, 2008], and its absence could affect the water surface slopes of other reaches, thereby propagating the original perturbation throughout the entire delta network.[5] To address these shortcomings, this paper presents the first numerical study of the response of distributaries within a self-formed, river-dominated delta to changes in Q at the delta head. Results show a threshold behavior.…”
mentioning
confidence: 99%