Study on the Reverse Osmosis Rejected Water Treatment Process Based on Vacuum Membrane Distillation
Bibliographic record
Abstract
In this article, we utilize new high flux PVDF hollow fiber hydrophobic membrane to implement vacuum membrane distillation (VMD) treatment experiment to the rejected water produced in petrifaction enterprise after reverse osmosis (RO) treatment, and we study producing water flux, the change of producing water and rejected water quality with the concentration treatment process and the influence of chemical flocculation on the rejected water treatment effect in the process of VMD. The results indicated that under the conditions of 75? and -0.096Mpa, the initial flux of VMD process would achieve 33L/m2h, and the process of VMD combined with chemical flocculation, and when RO rejected water was concentrated to 10 times, the process of VMD was kept above 16L/m2h, and the conductivity of producing water was stabilized in 4~7μS/cm, and the desalination rate was kept above 99.99%.
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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) | 0.000 | 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 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".