Oil initiation of super slippery surfaces in sediments: a driver of instability in glacial systems
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».