A Comprehensive System for Simulating Oil Spill Trajectory and Behaviour in Subsurface and Surface Water Environments
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.
Bibliographic record
Abstract
Abstract 2017-184: Accidental release of pollutants such as offshore oil spills can cause significant negative impacts on the environment and socio-economy, and constitutes a direct hazard to marine life and human health. Particularly, deepwater blowout released spills are more challenging to study because the trajectory and behaviour of oil are difficult to be comprehensively simulated. Although there are many integrated or coupled models available, there still lacks open source deepwater oil spill models to predict not only the trajectory but also the mass balance of oil. It is the objective of this study to fill this gap by coupling the Texas A&M Oilspill Calculator (TAMOC) for nearfield simulation and the advanced oil spill module in the Modelo Hidrodinâmico (MOHID) 3D Water modeling system. In addition, the Weber number scaling approach is also integrated in both the near- and far-field simulation for oil droplet size prediction. The applicability of the proposed comprehensive system is tested by a case study of simulation of oil spills released from a depth of 3,500 m in the Scotian Shelf, Canada. The results demonstrate a high feasibility of the proposed system. By providing comprehensive simulation for oil spills, the developed system should provide significant support to the response to offshore oil spill, especially from deepwater blowout.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it