Calcium hypochlorite removal of mercury and petroleum hydrocarbons from co-contaminated soils
Bibliographic record
Abstract
Former oil and gas processing sites are often contaminated with both mercury and petroleum hydrocarbons. Traditional methods for treating these co-contaminated soils include thermal treatments and placement in landfills (Stepan et al. 1993). This study examines a chemical oxidation treatment, calcium hypochlorite, and its effectiveness in reducing both the petroleum and mercury content of several industrial soils. A sequential extraction method was used to determine the forms of mercury removed through the hypochlorite treatment. The forms included five organic forms of mercury, mercury associated with the mineral phase, ion exchangeable mercury, water phase mercury, and mercury associated with the petroleum hydrocarbons. The hypochlorite treatment did lower the mercury content of all five soils, but failed to remove the petroleum hydrocarbons from the soils. Prior to the hypochlorite treatment the dominant form of mercury was that associated with soil organic matter while after treatment most of the mercury remaining in the soil was associated with either the petroleum hydrocarbons or the mineral phase.
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.
How this classification was reachedexpand
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 | 0.003 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".