Environmental loadings of long term sulphur storage: processes and controls
Bibliographic record
Abstract
Elemental sulphur (So) is produced at petroleum refineries as a byproduct and a decrease in So prices has forced tens of mega-tonnes of So to be stockpiled at industrial sites. However, long-term storage of So blocks poses a potential for contamination of surface water and groundwater because of the oxidation of So to H2SO4.Two key controls on the environmental loadings of So blocks are the availability of oxygen and temperature. Three large scale So pilot blocks were constructed to evaluate the effects of controlling factors on the oxidation of So blocks and to test the effectiveness of cover technologies. One pilot block was left exposed to the environment while two others were covered with cover material of various thicknesses to keep the underlying So blocks either insulated or saturated. So block temperature, availability of oxygen and drainage water chemistry data were measured over a period of three years. The analysis of So pilot block data indicates that the pilot blocks would serve as useful analogues to commercial scale blocks. Pilot blocks temperature and oxygen profiles with depth indicate that the selected cover material could not control the temperature and the ingress of oxygen within the So blocks below the oxidation reaction. As a result, environmental loadings would remain a concern for the above ground sulphur storage sites.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".