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Record W7023798340

Piloting of a deammonification moving bed biofilm reactor for mainstream industrial wastewater application

2017· dissertation· en· W7023798340 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2017
Typedissertation
Languageen
FieldEnvironmental Science
TopicPhosphorus and nutrient management
Canadian institutionsnot available
Fundersnot available
KeywordsEffluentIndustrial wastewater treatmentWastewaterClarifierStruviteProcess (computing)Sewage treatmentAnammoxPollution
DOInot available

Abstract

fetched live from OpenAlex

The City of Portage la Prairie is required to meet the Province of Manitoba’s new effluent limits of 1 mg/L total phosphorus and 15 mg/L total nitrogen at their Water Pollution Control Facility (WPCF) and will need an upgrade to achieve this. Industrial flows to the system contribute approximately 90% of the N and P loads. To investigate methods to reduce these loads, piloting of the Ostara Pearl® struvite crystallization and Veolia ANITAMox deammonification systems was performed. The objective of this thesis was to pilot the ANITAMox system for seven months and determine the impact of the following process conditions: reduced influent temperature; increased pH; periodic high influent TSS concentrations; and modifications to the ANITAMox process train comprising of elimination of the pretreatment BOD removal reactor. It was found that deammonification could be an option for reducing mainstream ammonia loading from industrial flows at the WPCF.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.968

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 science0.0010.000
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 head0.021
GPT teacher head0.210
Teacher spread0.190 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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