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Record W2803607456 · doi:10.2166/wst.2001.0145

Modelling biological phosphorus removal from a cheese factory effluent by an SBR

2001· article· en· W2803607456 on OpenAlexaff
R. C. Ky, Yves Comeau, Maxime Perrier, I. Takács

Bibliographic record

VenueWater Science & Technology · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Nitrogen Removal
Canadian institutionsHydromantis Environmental Software Solutions (Canada)Polytechnique Montréal
Fundersnot available
KeywordsEffluentSequencing batch reactorPhosphorusFactory (object-oriented programming)Activated sludge modelEnhanced biological phosphorus removalCalibrationEnvironmental scienceProcess engineeringPulp and paper industryEnvironmental engineeringWaste managementBiochemical engineeringChemistryEngineeringMathematicsActivated sludgeComputer scienceSewage treatmentStatistics

Abstract

fetched live from OpenAlex

A mathematical model, named A3DX, based on ASM3(A3) for C and N removal, on the bio-P metabolic model of the Technological University of Delft (D), and on extra processes (X) for chemical and biological phosphorus removal, was developed and used to simulate the treatment of a fermented cheese factory effluent by a sequencing batch reactor (SBR). Experimental data obtained from a pilot-scale SBR were used to calibrate the model. The model calibration was performed by changing a minimal number (four) of default values for parameters, and by introducing a Monod function to account for magnesium limitation. This study suggests that the value of stoichiometric and kinetic model parameters determined with municipal effluents or enriched bio-P cultures can be reasonably used with some agro-industrial effluents with minimal parameter adjustment for calibration.

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 categoriesInsufficient payload (model declined to judge)
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 score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.224
Teacher spread0.204 · 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.

Study designBench or experimental
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

Citations12
Published2001
Admission routes1
Has abstractyes

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