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Record W4407609002 · doi:10.1080/1573062x.2025.2456745

An experimental study on the hydraulics of stormwater inlets

2025· article· en· W4407609002 on OpenAlexaff
Amir H. Azimi, L.J. Poirier

Bibliographic record

VenueUrban Water Journal · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Stormwater Management Solutions
Canadian institutionsNational Research Council CanadaLakehead University
Fundersnot available
KeywordsHydraulicsStormwater managementStormwaterInletEnvironmental scienceHydrology (agriculture)EngineeringGeotechnical engineeringGeologySurface runoffGeomorphology

Abstract

fetched live from OpenAlex

A series of laboratory experiments was performed to investigate the hydraulic performance of stormwater inlets. The results indicate that at the transition regime and for the maximum street slope, the addition of the second inlet increased the inlet discharge by 52% and 72% for cross-slopes of 2% and 4%, respectively. The normalized inlet discharge decreased non-linearly with the approaching water head in the weir flow regime while it linearly increased in the orifice flow regime. The effect of street slope was more pronounced in the orifice flow regime and prediction models were proposed to estimate inlet discharge for different road grades and cross-slopes. The boundary between weir and orifice flow regimes was identified for each stormwater inlet design and it was found that the cross-slope shifted the boundary more towards the orifice flow regime. It was observed that the peak efficiency decreased with increasing road grade.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.252
Teacher spread0.236 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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