Modeling, simulation, and optimization of advanced oxidation technologies for treatment of polymeric wastewater
Bibliographic record
Abstract
Most synthetic water-soluble polymers from industrial effluents are discarded into the aqueous environment. Due to their water solubility they can reach conventional sewage disposal systems and contaminate water resources as they are not amenable to biodegradation. Therefore, the possibility of rendering these materials to biologically manageable chemical compounds is a challenging task. The applications of advanced oxidation technologies (AOTs) for treating wastewater containing recalcitrant and inhibitory organics have risen drastically during the past few decades. AOTs mediate fast degradation or decomposition of the target organic compounds by producing free radical species. In this study, the photooxidative degradation of water-soluble polymers in wastewater is studied using different methods of AOTs. The experimental design, statistical analysis, and optimization of different processes of AOTs are investigated employing various methods of response surface methodology (RSM). Using RSM, the effects of different process parameters on the response function are determined. Also, a detailed mechanistic kinetic model is developed along with photoreactor design and modeling for a laboratory-scale batch recirculating photoreactor. Most synthetic water-soluble polymers from industrial effluents are discarded into the aqueous environment. Due to their water solubility they can reach conventional sewage disposal systems and contaminate water resources as they are not amenable to biodegradation. Therefore, the possibility of rendering these materials to biologically managable chemical compounds is a challenging task. The applications of advanced oxidation technologies (AOTs) for treating wastewater containing recalcitrant and inhibitory organics have risen drastically during the past few decades. AOTs mediate fast degradation or decomposition of the target organic compounds by producing free radical species. In this study, the photooxidative degradation of water-soluble polymers in wastewater is studied using different methods of AOTs. The experimental design, statistical analysis, and optimization of different processes of AOTs are investigated employing various methods of response surface methodology (RSM). Using RSM, the effects of different process parameters on the response function are determined. Also, a detailed mechanistic kinetic model is developed along with photoreactor design and modeling for a laboratory-scale batch recirculating photoreactor
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".