Measuring the Fate and Natural Attenuation Potential of a Viscous Marine Fuel on an Artificial Beach Mesocosm
Bibliographic record
Abstract
Abstract Shoreline oiling poses a risk to coastal ecosystems and resources. Understanding the natural attenuation potential and impact of different sediment types is important for choosing appropriate intervention strategies and priority areas following a spill. Simulated IFO-40 oil spills on artificial beach mesocosms were carried out using different sediment types: sandy beach and sandy tidal flat, under low energy tidal cycles over a 5-day period. Chemical and biological analysis of leachate and sediment was conducted to understand the movement of oil through these mesocosms. Rapid oil movement from the oil slick to the surface sediment layer was observed in the sandy beach enclosures, while slower oil movement was observed in the sandy tidal flat enclosures. Increased hydrocarbon dissolution was observed in the sandy beach enclosures, marked by higher concentrations of low molecular weight n -Alkanes (C 12 − 15 ) and naphthalenes (C 0 − 3 ) in sandy beach leachate compared to sandy tidal flat samples. Despite the increase in hydrocarbons, there were no major shifts in microbial communities observed in the leachate and sediment compartments for either sediment type. Both prokaryote and microeukaryote communities differed between the two sediment types, with little overlap between dominant sequences. Our results indicate that limited oil penetration occurs within sandy tidal flat shorelines resulting in oil accumulation suggesting that sorbent or vacuuming could be used as emergency response to minimize the environmental and ecological impacts of spilled oil.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".