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Record W7051577933

Oil initiation of super slippery surfaces in sediments: a driver of instability in glacial systems

2021· dissertation· en· W7051577933 on OpenAlexaboutno aff

Bibliographic record

VenueNorthumbria Research Link (Northumbria University) · 2021
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsGlacierGlacial periodInstabilitySedimentSiltIce sheetFlow (mathematics)Marine snow
DOInot available

Abstract

fetched live from OpenAlex

The driving mechanisms of glacier fast flow and the cyclical instability inherent in ice streams and surging glaciers are not fully understood. Current theories of sliding and basal deformation insufficiently explain glacier dynamics. Until now, the interface physics occurring at the bed of glaciers and ice sheets has not been considered in glacier flow theory. In this thesis, the role of interface physics, particularly the existence and stability of super slipperiness, superhydrophobicity and slippery liquid-infused porous surfaces (SLIPS) in glacial till, are explored. \n \nFirst, physical models were used to examine sediment-water interactions on hydrophobic and oil-impregnated models of super slippery sediments. The models were characterised using contact and sliding angles to determine the existence and extent of water repellence and water mobility. Superhydrophobicity was created on clay and clay aggregate size surfaces by coating the particles with a hydrophobic chemistry, producing droplet contact angles of ≥150° and air plastrons between particles. It was also possible to produce sediment-SLIPS with droplet sliding angles ≤5° on clay to silt size particles by impregnating the model sediments with a lubricating oil. This thesis presents the first physically modelled example of a superhydrophobic sediment and sediment-SLIPS, providing a physical basis for the behaviour that could occur in Earth systems where hydrophobic and SLIPS inducing compounds are present. \n \nSecond, petroleum geochemistry techniques were employed to detect oil compounds in a glacial environment. Biomarker and non-biomarker hydrocarbon diagnostic ratios were used to identify the key geochemical signatures of Alberta Oil Sands samples from the Aurora Mine, Amphitheatre Outcrop, and Cold Lake deposits. The biomarker analysis revealed the compounds gammacerane and 28,30-bisnorhopane were ubiquitous throughout the Alberta Oil Sands, indicative of a hypersaline depositional environment of the hydrocarbon source rock. A further 12 diagnostic ratios of source, depositional environment, maturity, and biodegradation were identified as key indicators of Alberta Oil Sands contamination based on the small value ranges between samples and good separability from the geochemical signature of North Sea Oil, an unrelated petroleum product. This analysis was then applied to surficial sediment from the Central Alberta Ice Stream in order to detect glacially mobilised SLIPS-inducing oil deposits. Evidence of Alberta Oil Sands contamination including the presence of gammacerane and 28,30-bisnorhopane was detected throughout sediments from the Central Alberta Ice Stream flow track, in particular at the terminating margins to the east of Calgary and in the Cooking Lake area to the southeast of Edmonton. These results indicate glacial erosion and long distance mobilisation of oil sands deposits from Northern Alberta through the Central Alberta Ice Stream. This suggests oil induced SLIPS may have played a significant role in fast flow of the Laurentide Ice Sheet ice streams and flow instability in Alberta. \n \nThree scenarios of SLIPS at the ice-bed interface can be assumed from these results; (i) an oilwet macroscale SLIPS, (ii) a water-wet macroscale SLIPS, and (iii) a microscale SLIPS all of which would influence the degree of ice-bed coupling and therefore the proportion and rates of sliding and basal deformation. These findings also have important implications for understanding soil physics and mechanics, and wider Earth system processes such as slope and sediment fan instabilities. The mechanisms reported in this thesis demonstrate that SLIPS and superhydrophobicity can occur in natural sediments, providing a new mechanism for water shedding in the environment. By understanding the physics occurring at the ice-bed interface it is possible to better predict glacier flow conditions, such as the degree of sliding and basal deformation. It is therefore critical that properties affecting wettability and water shedding of sediments such as sediment geochemistry and microbiology are considered in our understanding of transient flow conditions.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.000

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.288
Teacher spread0.262 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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