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Record W2604617838

Bioventing Degradation Rates of Petroleum Hydrocarbons and Determination of Scale-up Factors

2013· dissertation· en· W2604617838 on OpenAlexfundno aff
Alamgir Akhtar Khan

Bibliographic record

VenueThe Atrium (University of Guelph) · 2013
Typedissertation
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPetroleumEnvironmental scienceDegradation (telecommunications)Petroleum engineeringScale (ratio)Environmental chemistryWaste managementChemistryEngineeringGeographyOrganic chemistryCartography
DOInot available

Abstract

fetched live from OpenAlex

Petroleum hydrocarbons are ubiquitous environmental contaminants that need to be removed from soil after a spill due to their toxic and carcinogenic characteristics. Bioventing has the potential to be an effective bioremediation technology for contaminated soil, yet many challenges exist when extending results from the laboratory to the field. Understanding scale dependent phenomena is difficult, because most laboratory studies were completed at the micro-scale and limited work has been done on the larger scale. Accordingly, the main aim of the current study was to determine petroleum hydrocarbons degradation rate coefficients at the medium scale (meso-scale), which is considered a bridge between the micro and field scales, and to determine the scale-up factor. Refinement of a previously developed correlation by incorporating scale-up effects was also an additional goal. Bioventing conditions were simulated in a bench scale reactor holding 4 kg of soil on a dry weight basis that was spiked with synthetic gasoline. Five different types of soils were tested, with each soil amended with water and nutrients. Preliminary testing with the meso-scale system showed the appropriateness of the experimental system for conducting reliable bioventing treatments. Evaluation of the experimental data showed two stage hydrocarbon degradation with a fast rate of degradation in the initial 8 d and then a slower rate for remaining 22 d of the treatments. Using statistical analysis, correlations were developed which suggest a significant positive effect of the initial population of petroleum degrading bacteria and a negative impact of increasing fractions of organic matter on the rate of hydrocarbon degradation in the soil. Results also exhibited a positive impact of increasing silt and a negative effect of increasing clay on the hydrocarbon degradation rate constant. In general, higher rates of degradation were observed at the meso-scale tests when compared with the results determined through a micro-scale correlation. Comparison of micro-scale and meso-scale correlations also suggested a scale-up factor (SF) of approximately 2.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.227
Teacher spread0.214 · 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 source (direct Gemma or distilled Codex), 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
Published2013
Admission routes1
Has abstractyes

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