Treatment of Olive Oil Mill Wastewater by UV-Light and UV/H2O2 System
Bibliographic record
Abstract
Olive oil mills generates large volumes of wastewaters (OMW). The absence of legislation, which manages and obligates the treatment of OMW has led to the creation of large build-evaporation ponds as a solution for this environmental problem. The function of these ponds is the evaporation of wastewater during summer months. However, evaporation isn't enough to eliminate all wastewater in the rafts and this fact allows the generation of a great volume of concentrate wastewater with high organic load (COD = 0.5- 38 g O 2 /L). The environmental impact produced by the accumulation of polluted wastewater demands the design of processes for OMW treatment. In this sense, the influence of ultraviolet light (UV) and the combined system of UV/H 2 O 2 , in the degradation of organic matter of OMW, were studied. UV-light application at a short time (<30 min) implies a removal values in COD = 15-22%, total carbon (TC), total organic carbon (TOC) and total nitrogen (TN) in the range 34% to 43%. The turbidity elimination was registered in the range 68% to 70%. In the case of combined UV/H 2 O 2 system the removal percentages were 40-48% for COD, 39.4-51.9% for TC, 33.0-48.0% for TOC, 37.0-53.1% for TN, and 66.8-93.4% for turbidity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".