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Simultaneous Nitrogen and Phosphorus Removal in a Continuously Fed and Aerated Membrane Bioreactor

2005· article· en· W2036853280 on OpenAlexafffund
Ladan Holakoo, George Nakhla, Ernest K. Yanful, Amarjeet Bassi

Bibliographic record

VenueJournal of Environmental Engineering · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Nitrogen Removal
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAerationMembrane bioreactorPhosphorusNitrogenBioreactorEnhanced biological phosphorus removalChemistryPulp and paper industryEnvironmental engineeringEnvironmental scienceMembraneEnvironmental chemistrySewage treatmentWaste managementActivated sludgeEngineeringBiochemistry

Abstract

fetched live from OpenAlex

This research demonstrated the feasibility of simultaneous biological nitrogen and phosphorous removal in a single tank membrane bioreactor without cycling of air and/or feed through operation at a low dissolved oxygen (DO) and a high biomass concentration. Chemical oxygen demand removal efficiency was more than 98% and total nitrogen removal efficiency was 55%. Seventy-five percent of the total nitrogen removal was through simultaneous nitrification–denitrification (SND) and 25% through assimilation into the biomass. Interestingly, more than 98% phosphorous was removed and microbiological analysis showed the presence of polyphosphate-accumulating organisms in the activated sludge. The operating mixed-liquor suspended solids was between 16 and 23g∕L . The optimum DO was found to be 0.7–0.8mg∕L .

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.673

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 head0.003
GPT teacher head0.170
Teacher spread0.167 · 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 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

Citations16
Published2005
Admission routes2
Has abstractyes

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