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Effect of Flow Rate Increase on the Performance of a Pilot-Scale Biological Nutrient Removal Reactor

2018· article· en· W2794261394 on OpenAlexaff
Kingsley Nze, Shengnan Xu, Yao Tang, Abdul Mohammed, Yang Liu

Bibliographic record

VenueJournal of Environmental Engineering · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Nitrogen Removal
Canadian institutionsCanadian Natural ResourcesUniversity of Alberta
Fundersnot available
KeywordsNitrobacterChemical oxygen demandChemistryNitriteExtracellular polymeric substanceNutrientNitrificationVolumetric flow rateAmmoniaPulp and paper industryHydraulic retention timeOxidizing agentEnvironmental engineeringBacteriaEnvironmental chemistryNitrogenWastewaterNitrateEnvironmental scienceBiochemistryBiologyBiofilm

Abstract

fetched live from OpenAlex

Nutrient removal in two identical pilot-scale reactors is assessed at influent flow rates of 30, 45, and 60 L/min. The bacteria community structure of nitrifiers and denitrifiers and the protein:polysaccharide ratio (PN/PS) in extracellular polymeric substances (EPS) are monitored at each flow rate. Except for the chemical oxygen demand (COD), the reactor performance in terms of ammonia and phosphorous removal begins to deteriorate at the 45 L/min influent flow rate. Nitrobacter are more dominant than are nitrite-oxidizing bacteria (NOB). The PN/PS ratio in sludge EPS significantly decreases as the solids retention time (SRT) decreases from 9.3 to 2.2 days. The PN/PS ratio temporarily increases in response to an increase in flow rate before normalizing to a steadier value.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.536

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 studies0.0000.000
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 head0.006
GPT teacher head0.181
Teacher spread0.174 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

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