UV/H_2O_2/TiO_2 catalytic oxidation of polycyclic aromatic hydrocarbons in oilfield produced water
Bibliographic record
Abstract
It is challenging to remove a variety of polycyclic aromatic hydrocarbons(PAHs) in the produced water generated from oil and gas production.This paper selected phenanthrene and fluorene as the studying objects,focused on the UV/H2O2/TiO2 method and the treatment efficiency for PAHs.We investigated the influence of the dosage of TiO2 and H2O2,pH and UV(254 nm) irradiation time on phenanthrene and fluorene removal in the water samples.The results showed that the optimal treatment conditions for phenanthrene and fluorene removal(initial concentration of 1000 μg · L-1) were determined as TiO2 dosage of 2.2 g · L-1,H2O2 dosage of 0.12 mmol · L-1,pH value of 7.0,exposure time of 1.5 h.
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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".