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Record W2945638403

Effects of nutrients conditions and solids retention time (SRT) on performance and membrane fouling of aerobic membrane bioreactors (MBRs)

2015· dissertation· en· W2945638403 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2015
Typedissertation
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Nitrogen Removal
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMembrane foulingBioreactorMembraneNutrientMembrane bioreactorFoulingChemistryRetention timeEnvironmental sciencePulp and paper industryChemical engineeringEnvironmental engineeringChromatographyEngineeringBiochemistryOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

This thesis investigated the effect of chemical oxygen demand (COD) to nitrogen ratio (COD:N) in feed on the biological performance of aerobic membrane bioreactor (MBR). Meanwhile, the effects of nutrients condition (COD:N ratios) and solids retention time (SRT) (7, 12 and 20 days) on sludge properties and their role in membrane fouling were systematically studied using well-controlled aerobic membrane bioreactor receiving a synthetic high strength industrial wastewater containing glucose. The results showed an increased COD:N ratio from 100:5 to 100:2.5 and 100:1.8 had limited impact on COD removal efficiency and further led to a significant improvement in membrane performance, a reduced sludge yield, and improved effluent quality in terms of residual nutrients. The results suggest that an increased COD:N ratio will benefit the industrial wastewater treatment using membrane bioreactors by reducing membrane fouling and sludge yield, saving chemical costs, and reducing secondary hand pollution by nutrients. Membrane performance was improved with an increase in the COD:N ratio (e.g. reduced N dosage). Surface analysis of sludge by X-ray photoelectron spectroscopy (XPS) suggests that significant differences in the surface concentrations of elements C, O and N were observed under different COD:N ratios, implying significant differences in extracellular polymeric substances (EPS) composition. A unique characteristic peak at 1735 cm -1 was observed under nitrogen limitation conditions by using Fourier transform-infrared spectroscopy (FTIR). Total EPS, proteins and the ratio of proteins to carbohydrates in EPS decreased with an increase in COD:N ratio, while carbohydrates in EPS increased with an increase in COD:N ratio. There were no significant differences in the total soluble microbial products (SMPs) but the ratio of proteins to carbohydrates in SMPs decreased with an increase in COD:N ratios. Sludge cake formation was the dominant mechanism of membrane fouling. Membrane performance was improved with an increase in SRT. Surface analysis of sludge by X-ray photoelectron spectroscopy (XPS) suggests that significant differences in the surface concentration of element C and N were observed under different SRTs, implying significant differences in EPS composition. A larger amount of total EPS was found at the lowest SRT (7 days) tested but the ratio of proteins to carbohydrates in EPS increased with an increase in SRT. Similarly, the quantity of SMPs decreased with an increase in SRT but the ratio of proteins to carbohydrates in SMPs increased with an increase in SRT. The quantity of total EPS, total SMPs, and proteins to carbohydrates ratios positively correlated to membrane fouling rates. Sludge cake formation is the dominant mechanisms of membrane fouling.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.093
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
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.215
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