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Record W1986134361 · doi:10.1139/s03-073

Flow regimes and structure in pool and weir fishways

2004· article· en· W1986134361 on OpenAlexvenueno aff
S. A. Ead, Christos Katopodis, Gregory J. Sikora, N. Rajaratnam

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWeirHydraulicsSupercritical flowTurbulenceMechanicsFlow (mathematics)Dimensionless quantityFroude numberHydraulic jumpEnvironmental scienceFlow velocityDissipationHydrology (agriculture)Work (physics)Open-channel flowGeologyPhysicsGeotechnical engineeringThermodynamicsGeography

Abstract

fetched live from OpenAlex

The main objective of this work was to study the hydraulics of pool and weir fishways, for wider range of bed slopes, weir spacing, and heights, so that they can be designed to allow the passage of different species and sizes of fish. This laboratory study contains the results of 435 experiments, including the flow regimes, main flow characteristics and velocity profiles for several discharges. The flow regimes may be classified into plunging, transitional, streaming, and supercritical jet flows. A diagram has been developed to predict the different flow regimes using two dimensionless variables, Qt* and L/p. The dimensionless discharge Q+ for plunging flows was found to follow the Rehbock equation while Q* assumed a constant value equal to 5.75 for streaming flows. Velocity profiles in plunging as well as in streaming flows were found to be similar and correlations have been developed for the velocity and length scales. If the present work is considered to be a scale-model study, the scale would be approximately 10. Key words: fishways, pools and weirs, hydraulics, turbulent flow, energy dissipation, fisheries management.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.002
GPT teacher head0.155
Teacher spread0.153 · 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 source (direct Gemma or distilled Codex), 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

Citations70
Published2004
Admission routes1
Has abstractyes

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