Vulnerability of a fractured dolostone aquifer to emerging sewage-derived contaminants and their use as indicators of virus contamination
Notice bibliographique
Résumé
The current document had been prepared in the form of three separate papers that are intended to be submitted as individual papers to scientific journals. This thesis is the result of strongly collaborative work involving myself and others at the University of Guelph and researchers at several other institutions where the water analyses were conducted in laboratories with very advanced capabilities. This thesis is written as my contribution to science therefore below I explain my role in the work. The first paper comprising Thesis Chapter 2, focuses on the vulnerability of a fractured bedrock aquifer to contamination with sewage-derived human enteric viruses. For this chapter, my responsibilities included collecting 118 virus samples throughout an 8 month sampling campaign of 22 wells across southern Wellington County, ON and analysing the data provided by Dr. Mark Borchardt’s lab. Dr. Mark Borchardt and his team from the USDA lab in Marshfield Wisconsin provided expertise with regards to virus sampling and analysis methods and strategy. The USDA lab also provided the project with the necessary equipment for the collection of virus samples and completed all virus analyses in their lab paid for by the University of Guelph (Dr. Parker research grants at reduced rates). Drs. Beth Parker and John Cherry provided expert input with regards to the hydrogeological aspects of the project and provided appropriate funding for the virus analyses. After I had compiled and analyzed the data and wrote it up in the form of Thesis Chapter 2, Drs. Mark Borchardt, Beth Parker, and John Cherry all reviewed and commented on this thesis chapter. A specific journal has yet to be determined for publication of this research chapter. Thesis Chapter 3 focuses on the vulnerability of a fractured bedrock aquifer to emerging sewage-derived contaminants including artificial sweeteners, pharmaceuticals and various other anthropogenic wastewater compounds. For this chapter, my responsibilities included collecting water samples from the above mentioned 22 wells and shipping them to various labs where they were analyzed for artificial sweeteners, pharmaceuticals, major ions, various water isotopes, tritium, and other anthropogenic contaminants. Expert insight with regards to the transport, sample collection, and anlaysis of artificial sweeteners was provided by Drs. William Robertson from the University of Waterloo and Dale Van Stempvoort from the Canada Centre for Inland Waters located in Burlington, ON. Dr. Van Stempvoort’s lab provided analysis of groundwater samples for 4 artificial sweeteners and perchlorate at no cost. Dr. Chris Metcalfe and his lab crew at Trent University provided insight into the occurrence of pharmaceuticals in groundwater and conducted all of the analyses of groundwater samples for pharmaceutical compounds at research costs covered by Dr. Parker grants. After I compiled the analysis results and summarized and discussed them in Thesis Chapter 3, Drs. Beth Parker and John Cherry provided insight with regards to the hydrogeologic aspects of the project and provided editorial and scientific feedback on the document presented here. A specific journal has yet to be determined for publication of this research chapter. Thesis Chapter 4 investigates the use of the above mentioned emerging sewage-derived contaminants as novel indicators of virus contamination. As this paper draws from both of the papers comprising Chapters 2 and 3, the collaborators include Drs. Mark Borchardt, Beth Parker, John Cherry, William Robertson, Dale Van Stempvoort, and Chris Metcalfe. Each contributor offered services as mentioned above. Dr. Kari Dunfield is the final collaborator on this final paper as she provided insight with regards to traditional bacterial fecal indicators and the analyses used to assess their presence in groundwater. Dr. Dunfield also provided lab space for these bacterial analyses to occur. Bacterial analyses were conducted by myself and a wide range of field helpers, namely Loic Paquier and Amanda Malenica. After I summarized and discussed the results in Chapter 4, comments on this final paper were provided by Drs. Mark Borchardt, Beth Parker, and John Cherry. A specific journal has yet to be determined for publication of this research chapter.
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 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».