Atmospheric rivers in British Columbia's Nechako River Basin: Variability, trends and hydrological impacts
Notice bibliographique
Résumé
This dissertation provides a comprehensive analysis of atmospheric rivers (ARs) and their impacts on the Nechako River Basin (NRB) in British Columbia (BC), Canada. The study is divided into three main components: (1) the spatio-temporal distribution and trend analyses of AR types impacting the NRB, (2) AR contributions to the NRB's water budget input and their trends, and (3) the synoptic setting and hydrological responses in the NRB to three exceptional AR events. Initially, the spatio-temporal distribution and trends of ARs of various categories were examined. The study found a notable shift from mid- to low-intensity AR types in several sub-basins of the NRB. This shift suggests a potential impact on the regional water budget, as lowerintensity ARs are mostly beneficial and less likely to cause hazardous impacts but may also bring less water vapour to precipitate over the NRB. Spatial analysis revealed that the western and northern parts of the NRB are most affected by ARs, mainly in the fall and winter, with November experiencing the highest average AR intensity for the region. Moreover, the contributions of ARs to the NRB's water budget and their trends were assessed. AR days impacting the NRB are estimated at ~35 AR days yearly, on average, accounting for approximately one-fifth of the total annual precipitation, bringing predominantly rain in the fall and a mix of rain and snow in winter. Additional analyses indicated increasing trends in total precipitation linked to low-intensity ARs in the northern and western sectors of the NRB. The study highlights significant spatial variations in AR contributions to the NRB’s hydrological cycle, impacting total precipitation, snowpack formation, runoff, and the overall regional water budget. The synoptic setting and hydrological responses in the NRB to three exceptional AR events that occurred in 1952, 1978, and 2009 were also explored. These exceptional AR events depict the dual role of ARs in contributing to water replenishment while causing natural hazards. The exceptional ARs significantly contributed to snowpack formation and water replenishment to the Nechako Reservoir, averaging total precipitation accumulations of 81 mm (1.14 km3) in the Upper Nechako, highlighting their importance for regional water storage. However, these events also underscored the potential for flash floods and landslides, particularly during rain-on-snow conditions or when ARs make landfall on saturated soils and steep terrain. The findings of this dissertation emphasize the critical role of ARs in shaping the water budget of the NRB. The increasing frequency of some AR types, while others are diminishing, shows the changing nature of ARs, which may require adaptive water management strategies to balance the beneficial and detrimental impacts of these river-shaped storms. Enhanced understanding of AR dynamics and their impacts can inform the development of more effective flood prevention, water storage, and resource management practices, ensuring sustainable water supply for various stakeholders. The insights gained are particularly valuable for managing the Nechako Reservoir, where accurate water management is crucial for balancing agricultural, industrial, residential, and ecological needs in central BC.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| 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 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 ».