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Record W2022899987 · doi:10.5942/jawwa.2014.106.0018

Ultrafiltration organic fouling control: Comparison of air‐sparging and coagulation

2013· article· en· W2022899987 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAmerican Water Works Association · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsUniversity of British ColumbiaUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of WaterlooUniversity of TorontoCanadian Water Network
KeywordsFoulingSpargingAlumUltrafiltration (renal)CoagulationChemistryFlocculationAir spargingMembrane foulingFiltration (mathematics)Water treatmentDissolved organic carbonTurbidityEnvironmental engineeringPulp and paper industryMembraneChromatographyEnvironmental chemistryEnvironmental scienceEnvironmental remediation

Abstract

fetched live from OpenAlex

Air‐sparging and coagulation/flocculation were compared as fouling control strategies during ultrafiltration of surface waters. Fouling was assessed following coagulation (0.5 and 15 mg/L alum) and surface shear stress representative of different air‐sparging conditions: continuous coarse bubble, intermittent coarse bubble, and large pulse bubble. Results indicated that 0.5 mg/L of alum reduced membrane fouling, especially for waters with higher concentrations of organic matter (> 4 mg/L dissolved organic carbon). A 15‐mg/L alum dose did not significantly improve membrane performance relative to the low dose. Air‐sparging reduced fouling, but the benefits were not additive in combination with coagulation. Potential cost savings were calculated based on longer permeation times made possible by reduced fouling, and the value associated with water produced relative to energy costs (air‐sparging) and chemical costs (coagulant). For the water investigated, 0.5 mg/L of alum or large pulse bubble air‐sparging was optimal for membrane fouling control.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.435

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.224
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it