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Record W2142592829 · doi:10.1080/09593332508618371

Ozonation of Biologically Treated Landfill Leachate: Treatment Efficiency and Molecular Size Distribution Analysis

2004· article· en· W2142592829 on OpenAlexaff
F. Wang, Mohamed Gamal El‐Din, Smith

Bibliographic record

VenueEnvironmental Technology · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced oxidation water treatment
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLeachateEnvironmental scienceEnvironmental chemistryWaste managementChemistryEnvironmental engineeringEngineering

Abstract

fetched live from OpenAlex

A wide range of ozone doses were used to oxidise biologically treated Clover Bar landfill leachate, and results were compared to those of a previous study that involved aged raw leachate. The COD, BOD5 and colour of the leachate were measured prior to and after ozonation. The molecular size distribution of each sample was also analysed. At an ozone dose of 2.6 g l(-1), COD and colour removal efficiencies were 47% and 91%, respectively, while BOD5 increased by 324%. The BOD5/COD ratio increased from 0.02 prior to ozonation to approximately 0.2 following an ozone dose of 5.5 g l(-1), indicating improvement in the leachate biodegradability. Ozonation was very effective in reducing the concentration of organic compounds with molecular weights larger than 300 Dalton. After ozonation, no new peaks representing small molecules were observed. Relationships representing ozone dose, COD, BOD5, and the BOD5/COD ratio, as functions of total peak area of molecular size distribution, were determined.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.589

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 head0.003
GPT teacher head0.198
Teacher spread0.195 · 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

Citations11
Published2004
Admission routes1
Has abstractyes

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