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Record W3204905838 · doi:10.1029/2021gl094572

Mechanisms of Dune Growth and Decay in Rivers

2021· article· en· W3204905838 on OpenAlexafffund
R. W. Bradley, Jeremy G. Venditti

Bibliographic record

VenueGeophysical Research Letters · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsSimon Fraser UniversityBC Hydro (Canada)
FundersMitacs
KeywordsGeologyHydrographKinematicsBedformFlow (mathematics)GeomorphologySediment transportFlux (metallurgy)PaleontologySedimentMechanicsPhysicsEcologySurface runoff

Abstract

fetched live from OpenAlex

Abstract The mechanisms responsible for dune growth and decay remain a major unknown in river dynamics. Two theories have been supported by experiments and numerical models. A hydrodynamic explanation suggests that growth and decay occur due to phase lags between bed topography and sediment flux. Alternatively, kinematic processes have been invoked to explain growth by merger and decay by superimposed bedforms cannibalizing larger dunes. Demonstration of either mechanism in natural rivers has been lacking due to a paucity of high‐resolution topography. Here, we provide the first observations of rapid dune growth by kinematic processes during a rising hydrograph limb, followed by gradual adjustments likely through hydrodynamic processes at high flow. As flow wanes, smaller dunes develop and cannibalize larger features, eventually creating a flattened bed near base flow. Kinematic processes occur at a common threshold shear stress. Superimposed dunes formed during falling limbs of hydrographs are signatures of dune decay.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.269
Teacher spread0.252 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations22
Published2021
Admission routes2
Has abstractyes

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