An Assessment of Seasonal Source Water Contributions to Streamflow in the Athabasca River Basin, Utilizing a Novel Approach to Obtain a Record of Winter Streamflow From River Ice Stratigraphy
Notice bibliographique
Résumé
The objective of this thesis is to quantify seasonal source water contributions to the Athabasca River in Alberta Canada. A secondary objective was to evaluate a novel method for reconstructing the isotopic composition of streamflow over the ice-on period and utilize this data to quantify source water contributions to winter streamflow. Quantifying source water contributions to streamflow is important because the Athabasca is a large, snow-dominated catchment where climate change is expected to impact the quantity and timing of source waters. The water resources in the Athabasca River Basin (ARB) are essential in supporting communities, the economy and ecosystems in the province of Alberta. This includes water needs of municipalities, oil sands operations and sensitive ecosystems, such as the Peace Athabasca Delta, an internationally recognized protected area. While the lower reaches of the Athabasca has been the subject of many studies, stable water isotope analysis has been limited in the upper portion of the ARB leaving a knowledge gap around existing snow and glacial melt water resources. This research focuses on the Upper and Middle reaches of the Athabasca and includes a subset of data for the McLeod catchment, which is nestled in the Middle Athabasca. To assess source water contributions three synoptic studies were undertaken to collect stable water isotope samples over a hydrological year from August 2016 to August 2017. This dataset was supplemented by winter streamflow data calculated using a novel method that reconstructs the isotopic composition of winter streamflow using river ice stratigraphy. The reconstruction of streamflow in the ARB produced accurate results as validated against streamflow sampling obtained over the same time period. This method also resulted ice-water fractionation values that were in alignment with the existing literature. While these results support the future use of this emerging methodology, additional studies will be required to better define the limitations to this methodology. Source water contributions to streamflow were calculated for all field samples and reconstructed values using hydrograph separation. This allowed the relative contributions of snowmelt, glacial melt, groundwater and evaporatively enriched surface waters, such as from lakes and wetlands, to be quantified. The results from this analysis have established a spatially explicit, baseline understanding of the major contributions of seasonal and annual source waters in the region. Observed patterns included an accumulation of surface water downstream in the ARB and annual source water cycling in the McLeod catchment, that aligned with results found in other studies in the Mackenzie River Basin. Trends differed in 2016 and 2017 but were linked to differences in temperature and precipitation over the two years. While this research has established baseline source water information across the Upper and Middle Athabasca, future studies to conduct a higher temporal and spatial resolution sampling of streamflow and source waters across the catchment are recommended.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| 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 | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 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) | 0,000 | 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 source (Gemma direct ou Codex distillé), 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 ».