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Record W2083744685 · doi:10.1139/s03-012

Advanced leachate treatment at Buckden landfill, Huntingdon, U.K.

2003· article· en· W2083744685 on OpenAlexvenueno aff
Howard Robinson, Martin Carville, T. M. Walsh

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicPesticide and Herbicide Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLeachateEffluentEnvironmental scienceWaste managementEnvironmental engineeringEnvironmental chemistryChemistryEngineering

Abstract

fetched live from OpenAlex

During April 1994, Aspinwall and Company was appointed to design and commission a treatment plant to treat leachate from the Buckden South Landfill Site, located about 1 km SW of Huntingdon in Cambridgeshire, U.K. The landfill is located in the flood plain of the River Great Ouse, which flows within 400 m of the site. Leachate characterization and flow studies took place during early 1994, after an extensive fin drain collection and interception system had been installed. Aspinwall then undertook leachate treatment trials, as part of the detailed design of the on-site treatment plant that needed to be capable of treating 200 m 3 /d of leachate to very high standards. The treatment trials were carried out to investigate and design an aerobic biological process that would provide primary treatment, before secondary effluent polishing stages that would involve reed beds and ozonation. The latter specialized stage was intended to provide treatment of a range of pesticides, including the herbicides mecoprop and isoproturon, which were found in leachate and might not be removed fully by biological treatment stages. The leachate also contained contaminants typical of methanogenic conditions, including ammoniacal-N at values in excess of 400 mg/L, with a required effluent discharge consent standard of 10 mg/L. Key words: leachate, mecoprop, isoproturon, biological treatment, ozonation, reed bed, toxicity-based consent.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
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)0.0010.000

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 head0.005
GPT teacher head0.187
Teacher spread0.181 · 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.

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

Citations13
Published2003
Admission routes1
Has abstractyes

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