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Enregistrement W6921755401 · doi:10.7939/r3-x0x2-8552

Groundwater movement in heterogeneous, water-limited, low-relief landscapes: understanding interactions of geology, topography, and climate at multiple spatiotemporal scales

2021· dissertation· en· W6921755401 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity of Alberta Library · 2021
Typedissertation
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueDiverse Scientific and Economic Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOutwash plainGroundwater rechargeGroundwaterGroundwater flowHydrology (agriculture)MoraineGlacial periodWater tableMeltwaterGroundwater model

Résumé

récupéré en direct d'OpenAlex

The low-relief, sub-humid Boreal Plains (BP) region of Canada, is characterized by pond-peatland-forestland complexes underlain by thick glacial deposits, which result in inter-dependent surface water processes and groundwater flow systems with varying spatiotemporal controls. A fundamental framework of climate, geology, and topography was used to better understand and explain the spatiotemporal variability in hydrologic responses and shallow groundwater flow systems in the BP. A 20 year historic hydrometric dataset (e.g., hydraulic head, vertical hydraulic gradients, geochemical signatures, stable water isotope ratios, and climatological data) collected from a pre-existing network of over 850 shallow and deep monitoring wells was supplemented with contemporary measurements and wells. Two primary spatiotemporal scales were examined to create a holistic, variable-scale conceptual model of groundwater movement in the BP: the large scale (e.g., glacial landforms, regional topography, and decadal climate cycles), and the small scale (e.g., individual landcovers, local hummocks, and annual moisture deficits). At the large spatial scale (i.e., 100 km2) the landscape was delineated into hydrologic response areas (HRAs) based on geologic substrate characteristics (i.e., texture and geologic origin): coarse glaciofluvial outwash, fine-textured hummocky moraine, and clay-till plain. It was found that in the coarse outwash HRA and the hummocky moraine HRA, water tables were recharge (i.e., precipitation) controlled, while in the clay-till plain HRA they are topography controlled. Moreover, groundwater flow (and the controls thereon) is considered “intermediate” in the clay-till plain and “local” in the hummocky moraine; however, the coarse outwash contains multiple scales of flow and is influenced by adjacent HRAs and larger-scale flow systems. These larger-scale flow systems as well as surface water-groundwater interactions were further explored in the coarse outwash by examining the variability of the relative contributions of groundwater to eleven different lakes. It was demonstrated through the use of isotope hydrology, that landscape position is the dominant control over groundwater contributions to lakes; however, surface water connections were also significant and can short circuit groundwater pathways and confound the isotopic signal. Lakes at low landscape positions with large potential groundwater capture areas had relatively higher and more consistent groundwater contributions and low interannual variability thereon. Isolated lakes high in the landscape experienced high interannual variability as they have little to no groundwater input to buffer the volumetric or isotopic changes due to evaporation and precipitation. At the small or local spatial scale, both empirical and numerical modelling approaches were taken. The hydraulic gradients between forested hummocks and adjacent peatlands at sixteen locations, which represent a spectrum of hummock and peatland morphometries, topographic positions, and geologic settings, were monitored over the course of a mesic (non-drought) year. The dominant gradient was found to be from the peatland to the forestland (opposite that of the topographic gradient). Water table depressions under each forested hummock indicate that boreal forestlands are not reliable sources of groundwater recharge, spatially or temporally, which supports previous regional-scale research showing that peatlands are the primary water source for landscape-scale runoff. Variably saturated numerical modelling was undertaken to better understand the source-sink relationship between forested hummocks and adjacent peatlands and the controls on water table dynamics and groundwater recharge at the hummock scale. Hydraulic conductivity played the largest role in determining groundwater recharge rates. It was shown that the sink or source function of a forested hummock is dependent more on hydrogeologic and morphometric controls than climatic variability, where taller and narrower hummocks served as sources of groundwater and longer flatter hummocks served as sinks. Glacial depositional landscapes, such as the BP, are highly complex regions with spatially heterogeneous storage and transmission properties and temporally variable recharge potentials, resulting from the delicate, and often tipped, balance between precipitation and evapotranspiration. These studies demonstrate that in regions such as this, smaller-scale heterogeneities in geology and recharge can be a dominant factor over topography, notably in areas with high conductivity or hummocky terrain. Understanding the natural spatial and temporal variability of, and controls on, water table position, groundwater movement, and groundwater recharge under varying physical and climatic scenarios is important, as water security, ecosystem sustainability, and environmental quality become the focus of land management and reclamation efforts.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,540
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,018
Tête enseignante GPT0,178
Écart entre enseignants0,160 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2021
Routes d'admission1
Résumé présentoui

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