Biodegradation of Diesel Contaminated Wastewater Using a Three-Phase Fluidized Bed Reactor
Bibliographic record
Abstract
The use of petroleum-derived products has given rise to environmental concerns regarding hydrocarbon pollution. Therefore, the development of innovative techologies for the clean-up of contaminated sites is a challenge. This thesis is an investigation of a three-phase fluidized bed biofilm reactor, as an effective technology for biological treatment of diesel-contaminated wastewater. The three-phase fluidized bed utilized in this research consists of support media (diameter of 600 um) with biofilm, and gas phase (air at 1.0 cm/s) in up flowing liquid (feedwater at 0.02 cm/s). The reactor influent is synthetic wastewater varying in COD concentrations in the range of 550-1300 mg/l and diesel concentrations between 70 and 200 mg/L. The results indicate that diesel fuel can be removed in the reactor with efficiencies up to 100% at a hydraulic detention time of 4 hours. Good quality effluent means a good reactor performance, where 55% of the diesel fuel was removed due to biological process.
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 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) | 0.000 | 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".