Assessment of the Impacts of Climate Change on Groundwater Evapotranspiration in Mid-to-High Latitude Regions
Notice bibliographique
Résumé
In arid and semi-arid regions of mid-to-high latitude zones, actual evapotranspiration (AET) often exceeds annual precipitation or substantially dominates over other water balance components, posing risks to the hydrologic budget and groundwater depletion under future conditions. Despite numerous studies on AET, the contributions of various water sources to AET remain poorly understood at a regional scale. In the hydrologic cycle, AET represents the total amount of water lost through three main processes: surface water evaporation (SWE), subsurface evaporation (SSE), and subsurface transpiration (SST). These processes draw water from surface water (SW) and groundwater (GW). As a result, AET is categorized into two types: SW evapotranspiration (SWET) and GW evapotranspiration (GWET), based on the water source. This study developed, calibrated, and validated a process-based three-dimensional model to study variations in AET, the physical processes involved, and the contributions from different water sources in the North Saskatchewan River Basin (NSRB) in central Alberta. The study utilized the physically-based distributed HydroGeoSphere (HGS) model to simulate the hydrologic processes connecting surface water, groundwater, and AET for historical (1983-2013) and mid-future (2043-2073) periods. The NSRB, situated between latitudes 51.63°N and 54.56°N, is characterized by heterogeneous climate, soil, land use-land cover types, diverse landforms, and hydrogeological settings. These variations divide the watershed into three Ecohydro(geo)logical (EHG) regions: Mountains, Foothills, and Plains. Results demonstrate that across all EHG regions, more than 80% of the annual AET occurs during the spring/summer season (April-August), aligning with increased temperatures, potential evapotranspiration, and the active plant growing season. SST represents the largest contribution of water to supply annual AET, followed by SSE, with SWE making the smallest contribution in all regions. Regarding the source of water, SWET has the greatest contribution to annual AET in most areas across all EHG regions. On the other hand, GWET accounts for the majority of the annual AET in riparian areas and the northeast Plains. These areas are influenced by high atmospheric evapotranspiration demand, consistent GW discharge, and forest land cover with a large Leaf Area Index and deep plant roots that can reach shallow GW. Mean annual AET under mid-future (2043-2073) climate change scenarios shows an overall increase across the NSRB, with the greatest increase expected in the Mountains, compared to the historical period. In areas affected by GW discharge, such as riparian areas and the northeast Plains, a steady flow of GW is anticipated to support future increases in AET. Consequently, the share of GWET contribution to AET is expected to increase compared to the historical period in these regions. Study results reveal varied impacts of climate change on the saturated zone (SZ) across the EHG regions. In the Mountains, there is a predominant increase in water storage in the SZ, leading to a rise in the GW table. However, the proportion of SWET and GWET contribution to total AET remains relatively constant because of a deep GWT in this region. Conversely, projected drier conditions in the Foothills and Plains, compared to Mountains, result in the depletion of GW, reduction of GWET and increase of SWET. The most significant impacts on GW and its contribution to AET are expected in the Plains for the mid-future period. This study lays a strong basis for understanding the physical processes driving the spatiotemporal variation of AET and its contributing water sources, including groundwater and surface water, under historical and future climate change scenarios. The findings demonstrate the delicate hydrological balance of a large semi-arid and snow-dominated watershed in a mid-to-high latitude region and the potential alteration in the source of water for AET in the future, which can inform surface and groundwater management and land use planning.
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 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 ».