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Parameters Affecting Hydraulic Behavior of Aerated Lagoons

2005· article· en· W1986750081 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Environmental Engineering · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsAerationTRACERMixing (physics)Environmental scienceFlow (mathematics)Volumetric flow rateHydrology (agriculture)Environmental engineeringMechanicsGeologyGeotechnical engineeringEngineeringWaste managementPhysics

Abstract

fetched live from OpenAlex

Tracer studies were performed at the full-scale St-Hermas aerated lagoon, Quebec, Canada, and a dynamically similar laboratory model to determine the effects of the water flow rate and aeration rate on hydraulic mixing. The tracer study E-curves were extrapolated to ensure conservation of the tracer mass within the system and in turn were analyzed using a two-celled compartmental model. The results of the compartmental model analysis demonstrate that the water flow and aeration rates both influence the percentage of dead zones and bypassing within the system, with the water flow rate being the dominant parameter. This study therefore concludes that hydraulic mixing of aerated lagoons is significantly affected by the water flow and aeration rates. The ability to demonstrate that these hydraulic parameters affect the mixing of aerated lagoons is attributed to the E-curve development and the compartmental model analysis used in this study.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score0.313

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 head0.005
GPT teacher head0.165
Teacher spread0.160 · 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