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Record W1982551967 · doi:10.1081/ese-100104875

BIOLOGICAL TREATMENT OF PULP MILL WASTEWATER USING SEQUENCING BATCH REACTORS

2001· article· en· W1982551967 on OpenAlexaff
Cara V. Dubeski, R. M. R. Branion, K.V. Lo

Bibliographic record

VenueJournal of Environmental Science and Health Part A · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Nitrogen Removal
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChemical oxygen demandEffluentBiochemical oxygen demandSequencing batch reactorPulp and paper industryAerationWastewaterPulp (tooth)SettlingChemistryHydraulic retention timePaper millWastewater quality indicatorsBatch reactorSewage treatmentActivated sludgeEnvironmental scienceWaste managementEnvironmental engineeringBiochemistryEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Lab-scale sequencing batch reactors were used to treat chemithermomechanical pulping wastewater that had chemical oxygen demand (COD) and biochemical oxygen demand (BOD) in the range of 5,980-8,990 mg/L, and 2,240-3,190 mg/L, respectively. A cycle time of 24 hour, with a hydraulic retention time of 34.3 hours was used. With 1 hour of settling, COD and BOD reductions of 30-41% and 67-78% were observed. However, with a 4-hour settling, COD and BOD reductions of 53-62% and 88-94% were achieved, respectively. Most of the oxygen demand reductions occurred within the first 16 hours of aeration. Adjustment of pH did not result in significant improvement in COD removal. Resin acids and fatty acids concentrations in the CTMP wastewater were reduced in the SBR process; however, they were still not fully detoxified in the effluent.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score0.514

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 studies0.0000.001
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 head0.088
GPT teacher head0.302
Teacher spread0.214 · 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

Citations15
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Environmental Science and Health Part ASame topicWastewater Treatment and Nitrogen RemovalFrench-language works237,207