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Avaliação da remoção de matéria orgânica carbonácea e nitrogenada de águas residuárias em biorreator de membranas

2011· article· pt· W2002526915 on OpenAlexaff
Luiz Fernando Bezerra, Tsunao Matsumoto

Bibliographic record

VenueEngenharia Sanitaria e Ambiental · 2011
Typearticle
Languagept
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsNalco (Canada)
Fundersnot available
KeywordsChemistryMolecular biologyNuclear chemistryBiology

Abstract

fetched live from OpenAlex

O presente trabalho objetivou a avaliação da remoção de matéria orgânica carbonácea e nitrogenada, bem como a determinação do fluxo crítico, em biorreator de membranas, com zona pré-anóxica, tratando águas residuárias industriais da produção de aminoácidos. O reator foi operado sob carga orgânica volumétrica de 1,91 kg.DQO.m-3.d-1 e 0,18 kg.NTK.m-3.d-1; a recirculação do reator aeróbio para o reator anóxico foi de quatro vezes a vazão afluente. O reator apresentou médias de remoção de DQO, NTK e NT de 97, 98 e 92%, respectivamente. O sistema de ultrafiltração foi testado em vários fluxos entre 25 e 37 L.m-2.h-1 e determinou-se o fluxo crítico de 28 L.m-2.h-1 quando operado com 11,4 g.L-1 de SST e 35 dias de tempo de retenção celular. Os resultados mostraram que houve viabilidade técnica no uso de biorreator de membranas para remoção de matéria orgânica de águas residuárias industriais da produção de aminoácidos.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.037
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.005

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 head0.038
GPT teacher head0.251
Teacher spread0.213 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2011
Admission routes1
Has abstractyes

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