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Record W1534253835 · doi:10.1029/2006wr005027

A comparative study of the turbulent flow field with and without a pebble cluster in a gravel bed river

2007· article· en· W1534253835 on OpenAlexafffund
Jay Lacey, André G. Roy

Bibliographic record

VenueWater Resources Research · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsUniversité de Montréal
FundersCanada Research Chairs
KeywordsPebbleStrouhal numberTurbulenceEddyCluster (spacecraft)Flow (mathematics)Turbulence kinetic energyGeologyWakeMechanicsPhysicsMeteorologyGeomorphology

Abstract

fetched live from OpenAlex

This paper investigates the processes and spatial patterns of the turbulent flow around a naturally formed in situ pebble cluster and the interactions with large‐scale coherent flow structures. Instantaneous high‐frequency velocities were measured using the simultaneous deployment of four acoustic Doppler velocimeters, with the pebble cluster and after the cluster was removed. Results indicate a twofold increase in turbulent kinetic energy over the sampling area when the pebble cluster is present. Individual vertical component velocity spectra in the wake of the pebble cluster contain a marked peak which decreases in frequency from 1.8 Hz near the cluster to 1.0 Hz farther downstream. This peak is associated with eddies shedding from the shear layer in the lee of the cluster, and it agrees well with the values estimated using a Strouhal number of 0.18. Space‐time correlations indicate the presence of coherent depth‐scale macroturbulent flow structures. These structures in the intermediate flow region are relatively unaffected by eddies shedding from the pebble cluster. The results suggest the effects of the pebble cluster on the surrounding flow dynamics are quite localized and limited to the near‐bed region.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.455

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 studies0.0000.001
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 head0.034
GPT teacher head0.310
Teacher spread0.276 · 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 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

Citations67
Published2007
Admission routes2
Has abstractyes

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