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Record W4384665398 · doi:10.1029/2023jf007116

Experiments on Gravel‐Sand Transitions: Examination of Washload Deposition

2023· article· en· W4384665398 on OpenAlexafffund
Elizabeth Dingle, Jeremy G. Venditti

Bibliographic record

VenueJournal of Geophysical Research Earth Surface · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDeposition (geology)Grain sizeSedimentFluvialGeologySediment transportSuspension (topology)Hydrology (agriculture)Particle sizeParticle-size distributionGeomorphologyGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract An abrupt transition in bed grain size occurs in river systems. Over a short downstream distance, often only a few channel widths, the bed surface fines from gravel (∼10 mm) to sand (∼1 mm). This is the gravel‐sand transition (GST), and it is the only abrupt downstream reduction in grain size within fluvial systems. There are several theories for the origin of the GST, including size‐selective deposition of bimodal grain size distributions and the rapid onset of washload deposition due to changes in particle suspension properties at shear velocities of ∼0.1 m/s. Here, we present a laboratory experiment examining changes in fluid and sediment dynamics across a GST. We developed a stable gravel bed reach that was just below the threshold of motion, then fed sand. We observed sand carried as washload in the gravel reach fall out of suspension, forming a sand bed and a stable GST. Shear velocity was 0.09–0.10 m/s upstream of the GST and <0.10 m/s downstream, consistent with the washload deposition hypothesis. We were then able to perturb the position of the GST by systematically varying discharge and/or sand supply, shifting it downstream with an increase in discharge or a reduction in sediment supply. A decrease in discharge or increase in sand supply caused upstream migration. Our observations support an abrupt change in washload transport conditions across a narrow range of shear velocities, consistent with the washload deposition theory and measurements taken across GSTs in natural river systems.

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 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 score0.368
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.048
GPT teacher head0.335
Teacher spread0.287 · 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

Citations4
Published2023
Admission routes2
Has abstractyes

Explore more

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