Study on Oxidation Effect of Ozone on Petroleum-Based Pollutants in Water
Bibliographic record
Abstract
The removal of petroleum-based pollutants from water by ozone is studied. The results indicate that the oxidation effect of ozone on the petroleum-based pollutants is associated with water temperature, pH, dosage of ozone and reaction time. The removal efficiency of petroleum-based pollutants increases with the rise of temperature, pH, amount of ozone and reaction time, and reaches 83% under the conditions that the ratio of ozone to petroleum-based pollutants is 1:1 and the reaction time is 10 min. GC/MS analysis reveals that the amount of petroleum-based pollutants in water is reduced 39% from the previous 61 organics to 37 organics, the total peak area is reduced 36% after ozone oxidation treatment. Therefore, ozone has an excellent effect on the removal of petroleum-based pollutants and can be applied in the treatment of petroleum wastewaters.
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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 | 0.001 | 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 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".