Improving Cap Water Quality in An Oil Sands End Pit Lake with Microbial Applications
Notice bibliographique
Résumé
The oil sands industry in Alberta, Canada has been thriving for over five decades, and this multi-million-year-old resource has fueled rapid economic growth in Alberta. However, the oil sands industry has left behind tons of oil sands tailings and oil sands process-affected water (OSPW), and the surface mining process has greatly disturbed the landscape. Oil sands end pit lakes (EPLs) are proposed to reclaim the impacted land and remediate the large quantities of accumulated oil sands tailings and OSPW. A typical EPL is commissioned within a depleted mine pit, with oil sands tailings stored below a water cap. Using materials from Base Mine Lake (BML, the first full scale EPL), this thesis investigates the applicability of microbes for improving cap water quality. The objectives of this thesis were: (1) biological treatment of the residual bitumen; (2) model NA’s degradation by the microalgae, the BML cap water microbes, and the co-culture of the two; and (3) cap water turbidity mitigation using microbial addition. Recovery of the bitumen from the oil sands is not 100% effective, and the unextracted bitumen will remain in the oil sands tailings. In an EPL, the residual bitumen in the tailings can potentially cause environmental concerns if proper action is not taken. As bitumen migrates from the tailings to float on top of the water cap, it might change the surrounding water chemistry by releasing hydrocarbons and biodegradation by-products. Firstly, a biological amendment was used to treat three different types of oil sands tailings to remove bitumen content. Secondly, biostimulation treatment with acetate of the indigenous tailings microbial community was used to treat the bitumen. The presence of bitumen was found to increase the water toxicity. Analysis of the indigenous tailings microbial community profile combined with monitoring of CO2 (complete mineralization), dissolved organic carbon (indirect parameter) and petroleum hydrocarbons revealed that four genera (Rhodoferax, Acidovorax, Pseudoxanthomonas and Pseudomonas) were potential bitumen-degraders.Chlorella kessleri and Botryococcus braunii were tested for their capability to tolerate and biodegrade three model NAs (cyclohexanecarboxylic acid (CHCA), cyclohexaneacetic acid (CHAA), and cyclohexanebutyric acid (CHBA)): C. kessleri showed better tolerance and more effective removal of the tested NAs than B. braunii. BML cap water was also used as inoculum alone and co-cultured with C. kessleri to biodegrade the CHBA and CHCA. All tested cultures used β-oxidation pathway to biodegrade model NAs. The co-culture of BML inoculum and C. kessleri had a higher biodegradation rate of CHBA than BML inoculum and C. kessleri alone, and removed CHCA 25 d faster than C. kessleri alone (70 d). C. kessleri greatly increased the bacterial diversity of the BML inoculum, and this more diverse community was thought to lead to the more rapid and complete degradation of model NAs. Sporosarcina pasteurii, C. kessleri and B. braunii were tested to remove the cap water turbidity. C. kessleri addition can remove the cap water turbidity effectively in the bench scale experiment, and nutrient addition can remove a comparable level of turbidity possibly by stimulating the growth of the indigenous algal community. B. braunii didn't achieve any turbidity removal alone. S. pasteurii, a urea-hydrolyzing bacterium, can carry out microbial induced calcite precipitation (MICP) process leading to biocementation. MICP requires several conditions to occur: alkaline pH, Ca2+, CO32- and nucleation site availability. With the addition of S. pasteurii providing the nucleation sites, MICP has the potential to occur in BML cap water. Results in this study showed that with S. pasteurii alone, MICP might not be fully carried out in the BML cap water. However, the addition of S. pasteurii with calcium or urea could achieve effective turbidity removal with the formation of particles of increased size.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».