Theoretical Analysis and Experimental Verification of Ozone Mass Transfer in Bubble Columns
Bibliographic record
Abstract
Modeling the performance of ozone bubble columns for water and wastewater treatment was carried out using two models: the axial dispersion model and the back flow cell model (BFCM). Expressing these two models in terms of dimensionless operating parameters allowed the examination of their predictions of dissolved ozone, gaseous ozone, and superficial gas velocity profiles along the bubble column height. Pilot-scale experimental data from the literature were used to test the models' predictions of the dissolved ozone profiles for water treatment applications. The models have demonstrated reliable predictions of the dissolved ozone concentration profiles along the bubble column for water treatment conditions in the co-current and the counter-current flow modes. The axial dispersion model and the back flow cell model have proved to be adequate for describing the performance of ozone bubble columns, however, the BFCM was easier to formulate and solve.
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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 | 0.000 | 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) | 0.002 | 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".