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Bioremediation of Petroleum-Contaminated Soil Using Composting

2006· article· en· W2150646691 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePractice Periodical of Hazardous Toxic and Radioactive Waste Management · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsUniversity of ReginaEnvironment and Climate Change Canada
Fundersnot available
KeywordsBioremediationEnvironmental remediationWaste managementEnvironmental sciencePetroleumManureSoil contaminationFertilizerRemedial actionContaminationEnvironmental engineeringSoil waterChemistryEngineeringAgronomy

Abstract

fetched live from OpenAlex

A site in Saskatchewan consisted of an earthen pit excavated in the ground and filled with petroleum waste (used oil, gasoline, diesel fuel, paint thinners). This pit was in use for approximately 20–25years. As part of the decommissioning of the site, the site owner has to remediate the waste oil disposal pit. It was determined, based on investigation and study, that bioremediation was a suitable alternative for remediation of the contaminated soil in and around the pit. It was decided to conduct a bench scale treatability study to assess the potential for successful bioremediation of the site using composting. Two reactors were set up, each with a nutrient amendment (ammonium phosphate fertilizer). A mixture of grass clippings and sheep manure was added to one reactor to determine if the composting process could be accelerated by the addition of these abundantly available waste materials. Based on the results of the treatability study, the half-life of the petroleum hydrocarbons at the subject site was estimated to be 36.3 and 121.6days with and without the addition of grass clippings and sheep manure (Reactors 1 and 2), respectively. It was estimated that it would take approximately 192 and 643days to remediate the soil (reduce the total petroleum hydrocarbons to 1,000ppm) using the amendments of Reactors 1 and 2, respectively. The results of the study showed that the site could be remediated using composting.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.349
Threshold uncertainty score0.687

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 studies0.0000.001
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 head0.007
GPT teacher head0.225
Teacher spread0.219 · 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