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Record W2019222338 · doi:10.1016/j.aqpro.2015.02.221

Spill Response Evaluation Using an Oil Spill Model

2015· article· en· W2019222338 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

VenueAquatic Procedia · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Spill Detection and Mitigation
Canadian institutionsTetra Tech (Canada)
Fundersnot available
KeywordsOil spillEnvironmental scienceSoftware deploymentShoreMarine engineeringBoomUpgradeEngineeringEnvironmental engineeringOceanographyComputer scienceGeology

Abstract

fetched live from OpenAlex

Numerical simulation was used to evaluate the effectiveness of an oil spill response plan developed by Western Canada Marine Response Corporation (WCMRC) for the southwest coast of Canada. The plan was part of the permitting process for a proposed terminal expansion that would result in an increase in tanker traffic. The purpose of this response evaluation was to point the way to the development of a risk-informed enhanced oil spill response capacity that would be capable of managing large spills in coastal British Columbia. The oil spill weathering and tracking model, SPILLCALC, was used for the evaluation, and was modified to meet the needs of this study. Three-dimensional currents and water properties were provided by the hydrodynamic model, H3D; waves were simulated using the wave model, SWAN, and winds were obtained from the local network of coastal light stations and wind buoys. Booms and skimmers were the two primarily mitigation methods considered here. Mitigation inputs such as deployment time, storage capacity and speed were based on existing and proposed equipment stored in the main WCMRC facility and at outlying caches. Results confirmed the need to reduce the time to first response due to the effects of currents on the floating oil and the close proximity of shorelines along the proposed shipping route. In addition, results validated the need to upgrade availability of early on-water storage capacity, which could be met by a large fast storage vessel, enabling the spill response to be more efficient and to obtain a much higher recovery rate.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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)0.0000.001

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 head0.087
GPT teacher head0.311
Teacher spread0.224 · 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