Spatial and Temporal Variability in the Water Balance of Oil Sands Mine Reclamation Covers
Notice bibliographique
Résumé
The oil sands industry in Canada routinely uses soil-vegetation-atmosphere-transfer (SVAT) models, calibrated against short-term (<~10 years) field monitoring data to generate a single set of optimized soil hydraulic parameters. These calibrated SVAT models are then used to evaluate long-term reclamation cover performance based on long-term (~60 years) historical climate data. This approach attempts to characterize variability in the long-term water balance of these covers using historical climate variability but does not incorporate the potential variability associated with soil hydraulic parameters. In addition, little attention has been given to date on the variability that might be associated with future climate change. \nThe focus of this research was on the long-term water balance of reclamation covers used in the oil sands industry. The objectives of this research were to: (1) quantify parameter variability in the modelling of water balance; (2) characterize the impact that future projected climate change will have on the water balance; and (3) evaluate methods of downscaling global climate change projections to regional (local) scales to evaluate changes in future water balances. \nParameter variability was characterized through Inverse Modelling (IM) of soil hydraulic parameters for 12 soil cover designs, replicated in triplicate, at Syncrude Canada Ltd’s Aurora North mine site. Global scale climate change projections were downscaled (using LARS-WG) from Coupled Model Intercomparison Project Phase 5 (CMIP5) for the baseline and future periods at Fort McMurray Airport Station, while regional scale climate projections were generated for the 4km grid covering the Fort McMurray Airport station using the Weather Research and Forecasting (WRF) model. \nThe key findings include the following: (1) variability in the simulated actual evapotranspiration (AET) is controlled primarily by climate variability, while variability in the simulated net percolation (NP) is controlled equally by parameter and climate variability; (2) future AET and NP will increase relative to the historical baseline period regardless of the climate change projection, time period, or cover soil profile; and (3) relative increases in the future AET and NP from WRF are not significantly different from LARS-WG. \nOverall, the findings highlight that the relative increase in future NP is significantly higher than that for AET, particularly for the reclamation covers. Increases in the NP rates are likely to result in accelerated flushing of constituents contained within the mine waste but will also create larger water yields to surface waterbodies and downstream receptors. Here the water yield represents the total release of water from the covers that includes NP and runoff. These changes should be taken into account in the design of reclamation covers at oil sands mine sites.
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) | 0,000 | 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 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 ».