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Record W6980244125

Bioremediation of petroleum hydrocarbons: multi-scale investigation of effects of pore size and role of diurnal temperature changes

2014· dissertation· en· W6980244125 on OpenAlexfundaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2014
Typedissertation
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBioremediationBiodegradationEnvironmental remediationPetroleumSoil waterMoistureHydrocarbonSoil contaminationBiostimulation
DOInot available

Abstract

fetched live from OpenAlex

Indigenous, cold-adapted, hydrocarbon-degrading bacteria have been frequently detected in soils from cold region sites suggesting bioremediation, as a cost-effective remediation technology is potentially viable for cleanup of contaminated sites in cold regions. Previous studies on bioremediation of petroleum hydrocarbons in cold regions have been conducted with coarse textured soils. However, fine-grained or clayey soils are commonly found in several cold regions. The overall objective of this research was to investigate the factors controlling biodegradation of aged, clayey petroleum hydrocarbon contaminated soils from a sub-arctic site, under relevant temperature regimes. The biodegradation rates and extents of petroleum hydrocarbons were investigated for a clayey site contaminated soil in four pilot scale biopiles maintained at 15˚C. Non-volatile petroleum hydrocarbons (C16-C32) were biodegraded 24 to 38% under continuous aeration and with amendments of 17.5% or 23.5% moisture and also 17.5% moisture with 95 mg-N/ kg soil. In contrast, statistically significant biodegradation of the non-volatile hydrocarbon fraction was not observed in a biopile tank containing soils amended with 23.5% moisture content and 1340 mg-N/ kg soil. While a significant shift occurred in soil microbial community over 60 days in the biopile tank amended with 23.5% moisture only, there was no change in the microbial community of soil samples amended with a similar level of moisture and 1340 mg-N/ kg soil, indicating that high amounts of nitrogen amendment inhibited bioremediation.This study investigates the effect of diurnal temperature variations on the biodegradation of petroleum hydrocarbon contaminated soil typical for the site from northern Canada from which contaminated soils were obtained. The extents of biodegradation of petroleum hydrocarbons after 70 days, in systems incubated at temperatures varying between 5 ˚C to 15 ˚C daily (representative of daily high and low temperatures) were similar to systems incubated at constant temperature of 15 ˚C, and were significantly higher than systems incubated at 5 ˚C. The soil microbial community of systems with daily changes in temperatures between 5 ˚C to 15 ˚C was similar to those incubated at 15 ˚C, but significantly different than those incubated at 5 ˚C, based on both 16S rRNA and alkB gene analyses. The results suggest that the highest temperature (15 ˚C) to which the soil was frequently exposed to, determined the microbial community profile in the site soil, and periods of low temperatures did not reduce the overall biodegradation efficiency or the microbial community compared to that maintained solely at 15 ˚C.Experiments were conducted to investigate if hexadecane, a biodegradable but effectively insoluble hydrocarbon phase, was accessible to, and degraded by hydrocarbon degrading bacteria when the hexadecane-water interface was separated from the microbial culture by membranes with specific pore sizes. In these systems, bacteria were unable to degrade hexadecane when the membrane pore size was 0.4 µm or 3 µm, but was able to degrade hexadecane when separated by pore sizes of 12 µm. To investigate the implications of these results to aggregates from clayey and sandy soils, the in-situ aggregate micro-structure of representative soil aggregates from petroleum contaminated clayey soil and petroleum contaminated sandy soil were compared by micro-scale computed tomography (micro CT) imaging. The “bioaccessible porosity” defined as fraction of aggregate volume corresponding to pores larger than 4 µm was comparable in case of clayey (26-27%) and sandy (24%) aggregates.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.005
Open science0.0020.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.256
Teacher spread0.241 · 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 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

Citations0
Published2014
Admission routes2
Has abstractyes

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