EMISSIONS FROM MESOSCALE IN SITU OIL (DIESEL) FIRES: EMISSIONS FROM THE MOBILE 1998 EXPERIMENTS
Bibliographic record
Abstract
ABSTRACT A series of mesoscale burns were conducted in 1998 to assess fire-resistant booms, twelve of these were used to study emissions from diesel oil burns. Extensive sampling and monitoring were conducted to determine the emissions at nine downwind ground stations, one upwind ground station, and at six side stations. Particulates were measured using high-volume samplers and real-time particulate analyzers. Particulate samples in air were taken and analyzed for polycyclic aromatic hydrocarbons (PAHs). Water under the burns was analyzed; small amounts of PAHs were found. The burn residue was analyzed for PAHs as well. PAHs were at about the same concentration in the residue than in the starting oil, however, there is a slight differential concentration increase in some higher molecular weight species in the residue. Combustion gases including carbon dioxide, sulphuric acid aerosols, and sulphur dioxide were very low and in some cases undetectable. Volatile organic compound (VOC) emissions were measured in Summa canisters. Over 100 compounds were identified and quantified; most concentrations were too low to be considered a health risk. It was concluded that small burns of this size (burn area about 25 m2) are too small to pose a health hazard.
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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) | 0.001 | 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".