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Record W2094807191 · doi:10.1139/s06-035

Laboratory study on potential mechanisms for treatment of woodwaste leachate in surface flow constructed wetlands

2007· article· en· W2094807191 on OpenAlexfundvenueno aff
Wendong Tao, Ken J. Hall, Eric Hall

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicConstructed Wetlands for Wastewater Treatment
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAdsorptionChemical oxygen demandTanninChemistryLeachateLoamLigninEnvironmental chemistryVolatilisationOrganic matterEnvironmental engineeringWastewaterOrganic chemistrySoil waterEnvironmental science

Abstract

fetched live from OpenAlex

Laboratory tests were conducted on volatilization, adsorption on silt loam, and on the biological treatability of woodwaste leachate. No significant volatilization was found despite the high concentration of volatile fatty acids. Tannin and lignin adsorption reached equilibration within 78 h. Adsorption at a silt loam:leachate volume ratio of 2:25, equivalent to a 2 cm effective soil layer underlying a 25 cm water column in a surface flow constructed wetland, removed 22–42% tannin and lignin and 6–27% chemical oxygen demand at 23 ºC. Tannin and lignin accounted for the majority of the adsorbed chemical oxygen demand. Adsorption followed the Langmuir isotherm, with an adsorption capacity of 36 mg tannin and lignin/g silt loam. Adsorption efficiency for tannin and lignin at 15 °C was 0.44 times that at 23 °C. An aerated reactor removed 62–67% chemical oxygen demand, 65–67% tannin and lignin, and ≥98% volatile fatty acids. A similar anaerobic reactor removed 28–29% chemical oxygen demand, 13–19% tannin and lignin, and 80–94% volatile fatty acids. In long-term operation, biological degradation would be the major mechanism for organic carbon removal from woodwaste leachate in surface flow constructed wetlands. Sediment adsorption would affect treatment performance mainly during initial and transitional operating periods.Key words: adsorption, biological treatability, volatilization, woodwaste leachate, surface flow constructed wetland.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.563

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.005
GPT teacher head0.197
Teacher spread0.193 · 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

Citations19
Published2007
Admission routes2
Has abstractyes

Explore more

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