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Record W2089310838 · doi:10.5942/jawwa.2014.106.0080

Pretreatment impacts on biopolymers in adjacent ultrafiltration plants

2014· article· en· W2089310838 on OpenAlexaff
Barbara Siembida‐Lösch, William B. Anderson, Jane Bonsteel, Peter M. Huck

Bibliographic record

VenueAmerican Water Works Association · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsPublic Works and Government Services CanadaUniversity of Waterloo
Fundersnot available
KeywordsBiopolymerUltrafiltration (renal)ChemistryMembraneBiofilterWater treatmentOzonePulp and paper industryChromatographyEnvironmental engineeringEnvironmental scienceOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Full‐scale studies were conducted to determine the effects of the configuration or absence of pretreatment on membrane performance at two full‐scale ultrafiltration (UF) drinking water treatment plants sharing a common raw water source. One plant had no pretreatment before the membranes, and the other had ozone and biologically active carbon contactor pretreatment. At one point during this study, ozonation was out of service, and this presented an opportunity to compare ozone on/off scenarios. Ozone addition was observed to reduce biopolymer retention by UF membranes up to 23%. Although lower normalized flux (20°C) was associated with higher biopolymer retention by UF membranes, higher retention was found to not affect membrane permeability. Assimilable organic carbon was not a good surrogate for biopolymer removal by biofiltration. Variations in the raw water biopolymer fractions at both plants were associated with seasonal changes in temperature and potentially lakewide flow‐circulation patterns.

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 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 score0.408
Threshold uncertainty score0.937

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)0.0000.001

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 head0.005
GPT teacher head0.216
Teacher spread0.211 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2014
Admission routes1
Has abstractyes

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