Ion-exchange for trihalomethane control in potable water treatment – a municipal water treatment case study in Rainy River, Ontario, Canada
Bibliographic record
Abstract
Abstract The objectives of this study were to investigate the ability for ion-exchange (IX) to control trihalomethane (THM) formation, and to act as a potential treatment addition (upgrade) to a conventional treatment plant in Rainy River Ontario, Canada. The primary goal was to investigate the total organic carbon (TOC) and trihalomethane formation potential (THMFP) removal as a function of resin dose; and note the relative improvements over current conventional plant operation. IX resin (DOWEX TAN-1, Purolite 502P and 860, and Amberlite PWA9) removed 68–72% of TOC and 30–40% THMFP from the conventionally filtered water. Fixed-bed fluidized bed contactor was used to investigate the TOC/THMFP breakthrough for the DOWEX TAN-1 resin. Complete resin breakthrough occurred followed by 1,275 and 1,075 bed volumes for TOC and THMFP, respectively. Breakthrough output following 1,000 treated bed volumes was noted as the point at which THMFP levels reach the 0.1 mg L–1 water quality standard threshold required by Canadian regulators. High exchange capacities were recorded for the TAN-1 (3.02 mg mL–1) and PWA9 (2.03 mg mL–1) resins – both of which contain styrene backbones. The results produced in the bench-scale experiments were used very successfully in a full-scale upgrade of the Rainy River water treatment plant.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".