Control of Emerging Contaminants by Granular Activated Carbon and the Impact of Natural Organic Matter
Bibliographic record
Abstract
This research ranked the adsorbability of 115 emerging contaminants by granular activated carbon (GAC) from drinking water, mainly the organic chemicals identified on the Contaminant Candidate List 3 (CCL3), using classical and quantum quantitative structure activity relationships (QSAR). 80% of the investigated contaminants were classified as cost effectively treatable by GAC based on the models. A rapid small-scale column test (RSSCT) conducted with Lake Ontario water spiked with 8 selected emerging contaminants showed the modeling results were accurate. This research also tested the hypothesis that GAC exhaustion for geosmin and 2-methylisoborneol would be due entirely to natural organic matter, and would occur independently of the presence of these two compounds. RSSCT results confirmed this hypothesis. Mathematical modeling supported this observation by demonstrating that the ratio of the effluent concentration to the influent concentration of a trace organic contaminant is only dependent on the NOM loading state at any bed depth.
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 | 0.000 |
| 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".