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Record W2000468286 · doi:10.5942/jawwa.2012.104.0093

Direct biofiltration pretreatment for fouling control of ultrafiltration membranes

2012· article· en· W2000468286 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.

Bibliographic record

VenueAmerican Water Works Association · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsBiofilterUltrafiltration (renal)FoulingFiltration (mathematics)Membrane foulingTurbidityMembraneChemistryWater treatmentCoagulationPulp and paper industryBiofoulingChromatographyEnvironmental engineeringEnvironmental science

Abstract

fetched live from OpenAlex

Broader application of ultrafiltration (UF) membranes in drinking water treatment is limited by particulate and organic fouling. This pilot‐scale study demonstrated the ability of rapid biofiltration (without prior coagulation or ozonation) to reduce fouling of a UF membrane treating impacted river water over a two‐year period. Three biofilter empty bed contact times (EBCTs; 5, 10, and 15 min) were investigated, using parallel dual‐media filters followed by a hollow‐fiber membrane unit. Utilizing essentially conventional rapid filtration operating conditions, biofiltration pretreatment enabled stable membrane operation with respect to hydraulically reversible and irreversible fouling. Increased biofiltration EBCTs led to lower rates of irreversible fouling. The results were reproducible, and biofiltration was able to provide effective pretreatment during all seasons ( T = 1‐25°C). The biofilters also contributed to effective turbidity removal. Overall, biofiltration pretreatment for UF is a promising chemical‐free alternative to coagulation pretreatment. A particular niche application would be in small or remote systems.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.008
GPT teacher head0.232
Teacher spread0.224 · 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