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Record W2181308637 · doi:10.30955/gnj.000256

A Wind-Driven Hydrodynamic and Pollutant Transport Model

2013· article· en· W2181308637 on OpenAlex
Ioannis K. Tsanis

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

VenueGlobal NEST Journal · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPollutantEnvironmental scienceUpwind schemeMeteorologyHydrology (agriculture)GeologyMathematicsGeographyDiscretizationGeotechnical engineeringChemistry

Abstract

fetched live from OpenAlex

A program is developed that includes two hydrodynamic models, a 2D depth-averaged (2DH) and a Quasi-3D (Q3D), and a pollutant transport model that uses a 1st order upwinding and a 3rd order QUICKEST numerical schemes. Several tests were performed in two test basins in order to examine the performance of the above models. The Q3D model is successfully applied to Lake Ontario, using a 4-km-square grid, to simulate the wind-induced circulation. Simulations of pollutant transport show that the 1st order upwinding scheme can be used for estimating pollutant concentrations near the pollutant source in the case of continuous point source. However, numerical diffusion affects the estimates further downstream the pollutant source. Therefore, higher order schemes such as the third order QUICKEST scheme are required for estimating pollutant concentration at these locations.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.677

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)0.0010.000

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 head0.005
GPT teacher head0.180
Teacher spread0.175 · 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