NOM removal: evaluating five process alternatives to alum coagulation
Bibliographic record
Abstract
Research Article| December 31 2014 NOM removal: evaluating five process alternatives to alum coagulation Félix Plourde-Lescelleur; Félix Plourde-Lescelleur 1Department of Civil, Geological and Mining Engineering, Ecole Polytechnique de Montreal, P.O. Box 6079, Downtown Station, Montreal, Quebec, Canada H3C 3A7 E-mail: felix.plourde-lescelleur@polymtl.ca Search for other works by this author on: This Site PubMed Google Scholar Isabelle Papineau; Isabelle Papineau 1Department of Civil, Geological and Mining Engineering, Ecole Polytechnique de Montreal, P.O. Box 6079, Downtown Station, Montreal, Quebec, Canada H3C 3A7 Search for other works by this author on: This Site PubMed Google Scholar Annie Carrière; Annie Carrière 1Department of Civil, Geological and Mining Engineering, Ecole Polytechnique de Montreal, P.O. Box 6079, Downtown Station, Montreal, Quebec, Canada H3C 3A7 Search for other works by this author on: This Site PubMed Google Scholar Alain Gadbois; Alain Gadbois 2John Meunier Inc./Veolia Water Solutions & Technologies Canada Inc., 4105, Sartelon, Saint-Laurent, Quebec, Canada H4S 2B3 Search for other works by this author on: This Site PubMed Google Scholar Benoit Barbeau Benoit Barbeau 1Department of Civil, Geological and Mining Engineering, Ecole Polytechnique de Montreal, P.O. Box 6079, Downtown Station, Montreal, Quebec, Canada H3C 3A7 Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2015) 64 (3): 278–289. https://doi.org/10.2166/aqua.2014.090 Article history Received: July 16 2014 Accepted: November 22 2014 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation Félix Plourde-Lescelleur, Isabelle Papineau, Annie Carrière, Alain Gadbois, Benoit Barbeau; NOM removal: evaluating five process alternatives to alum coagulation. Journal of Water Supply: Research and Technology-Aqua 1 May 2015; 64 (3): 278–289. doi: https://doi.org/10.2166/aqua.2014.090 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Bench-scale experiments were conducted to evaluate disinfection by-product (DBP) precursor removal by coagulation with alum and ferric sulfate (FS), intermediate ozonation (IO3), powdered-activated carbon (PAC), ion exchange resin (IX), and spiral-wound nanofiltration (NF). The effect of source water quality on process performance was also assessed on six source waters. Overall, NF offered the best performance in terms of dissolved organic carbon (DOC) removals along with lower DBP concentrations in every tested condition except for DOC-rich waters (13–15 mg/L). Conventional treatment coupled with recirculated PAC adsorption (Actiflo®Carb) was the process configuration providing the most consistently low DOC (less than 2 mg/L), facilitating DBP regulation compliance. IX/alum and alum/IO3 reduced DBP concentration to a lesser extent, but proved to be more efficient than conventional treatment with alum alone. In terms of effluent DBP concentration, FS outperformed alum at higher coagulant dosages, whereas alum offered a superior performance at lower dosages. Finally, this investigation shows the relevance of conducting treatability assays to identify the most suitable treatment alternative for DBP control. coagulation, disinfection by-products, ion exchange resin, nanofiltration, ozonation, powdered-activated carbon © IWA Publishing 2015 You do not currently have access to this content.
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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 | 0.001 | 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".