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Record W2165846097 · doi:10.11159/ijepr.2014.014

A Feasibility Study of a Clay-Zeolite Media as a Removal Technology of Total Phosphorus from Wastewater

2014· article· en· W2165846097 on OpenAlexafffundvenue
Amanda L. Ciosek, Grace K. Luk

Bibliographic record

VenueInternational Journal of Environmental Pollution and Remediation · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicPhosphorus and nutrient management
Canadian institutionsToronto Metropolitan University
FundersOntario Centres of Excellence
KeywordsPelletEffluentZeolitePhosphorusWastewaterEutrophicationAdsorptionEnvironmental scienceEnvironmental engineeringPulp and paper industryWaste managementMaterials scienceChemistryNutrientEngineeringMetallurgyComposite material

Abstract

fetched live from OpenAlex

Phosphorus is a major factor in the eutrophication process, modifying water and habitat at high concentrations. This paper describes the development of a cost-effective, efficient, and affordable on-site Total Phosphorus (TP) removal technology. By investigating the chemical adsorption of a clay-zeolite media, the objective was to demonstrate TP removal capacity with a primary focus on pellet media design to overall removal efficiency. The investigation included pellet formation, size, conditioning, furnace exposure temperature and duration, as well as initial influent concentration (theoretical septic tank effluent range of 6-20 mg/L), with a response-contact time of 45 minutes. The research followed various stages of optimization and consisted of a scaled-down testing unit based on a 1.91 cm pellet diameter construction, for a 45 minute detention time, and achieved a removal of approximately 45%.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score0.382

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 head0.006
GPT teacher head0.220
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

Citations5
Published2014
Admission routes3
Has abstractyes

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