Membrane surface morphology and fouling in filtration of high DOC water
Bibliographic record
Abstract
In Canada many potable water sources contain very high concentrations of Dissolved Organic Carbon (DOC), accompanied by a wide range of hardness. DOC reacts with chlorine used in water disinfection to form potentially carcinogenic chlorine disinfection by-products – Trihalomethanes (THMs) and haloacetic acids (HAAs). Dual membrane plants that combine microfiltration (MF) and ultrafiltration (UF)or nanofiltration (NF) can remove DOC and reduce THMs concentration, but these plants are prone to serious fouling of their UF or NF membranes. The objectives of our research are to study the mechanisms of UF/NF membrane fouling. We have determined various resistances of DOW Filmtech NF90 (flat sheet coupon), based on the resistance in series model. The experiments were conducted on a bench scale cross-flow membrane filtration unit (Sterlitech), using synthetic water with DOC of 11 mg/L and calcium hardness of 350 mg/L that represents typical surface waters in Manitoba (Canada). The results suggest that gel layer on the surface of the membrane has a significant contribution to the flux decline. Atomic Force Microscope (AFM) allowed for relatively inexpensive, non-destructive analysis of the surface area of the gel layer deposited on the membrane filter. The morphology of the gel layer was related to the gel layer resistance.
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 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".