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Record W2082044655 · doi:10.1139/s04-016

Low temperature oxidation for the remediation of soil contaminated with motor oil

2004· article· en· W2082044655 on OpenAlexvenueaboutno aff
Lionel J.J. Catalan, Kathleen C. Buset, Laura Kling

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2004
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental remediationEnvironmental chemistryContaminationSoil waterOxygenHydrocarbonChemistryEnvironmental scienceNitrous oxideCarbon fibersOxideSoil scienceMaterials scienceEcologyOrganic chemistry

Abstract

fetched live from OpenAlex

Petroleum hydrocarbons (PHCs) react with oxygen by low temperature oxidation (LTO) to produce a coke-like solid residue, carbon oxide gases, and vaporized hydrocarbons. The feasibility of using LTO to remediate sandy soil contaminated with motor oil has been investigated in a plug flow reactor operated at temperatures between 150 and 221 °C and with air injection fluxes ranging from 0.40 to 2.28 m 3 (ST) ·m –2 ·h –1 . Low temperature oxidation occurred in three successive periods: the induction period during which the oxygen depletion in the reactor exit stream remained small, the middle period characterized by peaks in oxygen depletion and carbon oxide concentrations, and the tailing period corresponding to very gradual decreases in oxygen depletion and carbon oxide concentrations. The extents of oxidation measured in our tests ranged from 29 to 37 moles O 2 /kg oil. Soil samples treated at temperatures between 167 and 176 °C met all the Tier 1 levels of the Canada Wide Standard for PHCs in coarse-grained surface soils, except those for soil contact and protection of ground water. Concentrations of individual polycyclic aromatic hydrocarbons (PAHs) in the soil samples treated at 167 and 176 °C complied with the Canadian Environmental Quality Guidelines for all soil types. Key words: low temperature oxidation, petroleum hydrocarbons, remediation, soil, motor oil.

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 score0.134
Threshold uncertainty score0.140

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 head0.164
Teacher spread0.161 · 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

Citations2
Published2004
Admission routes2
Has abstractyes

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