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Record W2794987065

Secondary circulation in river junctions even at very low flow momentum ratios : The legacy effects of point bar formation

2018· article· en· W2794987065 on OpenAlexaff
Gelare Moradi, Colin D. Rennie, Bart Vermeulen, Romain Cardot, Stuart N. Lane

Bibliographic record

VenueUniversity of Twente Research Information · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSecondary circulationTributaryDownwellingGeologyPoint barMomentum (technical analysis)Flow (mathematics)Secondary flowMomentum diffusionMouth barMechanicsHydrology (agriculture)TurbulenceGeomorphologyUpwellingPhysicsOceanographyGeographyGeotechnical engineering
DOInot available

Abstract

fetched live from OpenAlex

River confluences remain a challenging subject because of their 3D geometry which leads to a complex, three-dimensional mean and turbulent velocity processes. Since secondary circulation plays an important role in flow hydrodynamics and the development of bank erosion, bed scour and bar formation, several numerical models, laboratory experiments and field studies have paid special attention to this subject. However, for small tributaries, associated with low flow momentum ratio, there has been a lack of understanding as to how momentum ratio and sediment supply regime can control the formation of secondary circulation. Of interest here is the possibility that sediment delivery and tributary bar formation in the main channel leaves a morphological legacy that is capable of inducing significant secondary circulation at the junction even if the tributary has a low flow momentum. Laboratory experiments have tended to study the equilibrium morphology formed by the interaction between an imposed flow driven sediment supply regime, rather than the effects of that morphology when tributary flows are lower and there is no sediment supply. This paper tests the hypothesis that even where the flow momentum of a tributary is very low, it is still possible to identify significant secondary circulation because of the legacy of morphological changes associated with higher momentum tributary flow. Secondary circulation at river confluences is thought to be dominated by streamwise-oriented vortical cells produced by the convergence of the surface flow through the center of the main channel, with downwelling motion in the zone of maximum flow convergence and upwelling motion at the channel margins. Considerable agreement exists among numerical, field and laboratory experiments that secondary circulation is an important element in developing bank erosion, bed scour, bar formation and boundary shear. Such studies have focused on situations where the momentum ratio is close to one and there have been fewer investigations of confluences where the momentum ratio is much less than one, such as Alpine tributaries, which produce confluences characterized by low momentum ratio and a high sediment delivery ratio during extreme events. To close this gap, intensive field data collection was used to investigate three upper Rhône river confluences in Switzerland, using an aDcp. Results show that high rates of tributary sediment delivery into the main channel during extreme events, lead to tributary mouth bar formation and associated bed discordance, which creates a two-layer flow. It results in the penetration of the tributary flow into the upper part of the main channel water column. Due to this two layer flow, the mixing layer is shifted toward the opposite bank and is associated with a large recirculation zone as well as a pronounced scour hole at this bank and an inner bank attached bar. Through time, the main channel may erode the inner bank attached bar, reducing bed discordance, and causing the mixing layer to form within the center part of the downstream channel. Analyses of these results confirms that even small tributaries can significantly influence confluence secondary circulation due to the legacy effects of sediment delivery.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.220
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2018
Admission routes1
Has abstractyes

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