Titre | Detection of decadal and interdecadal oscillations and temporal trend analysis of climate and hydrological time series, Canadian Prairies |
Télécharger | Téléchargements |
Licence | Veuillez noter que la Licence du gouvernement
ouvert - Canada remplace toutes les licences antérieures. |
Auteur | Chen, Z; Grasby, S E |
Source | Commission géologique du Canada, Dossier public 5782, 2009, 13p., https://doi.org/10.4095/248138 (Accès ouvert) |
Année | 2009 |
Éditeur | Ressources naturelles Canada |
Document | dossier public |
Lang. | anglais |
DOI | https://doi.org/10.4095/248138 |
Media | en ligne; numérique |
Formats | pdf |
Province | Alberta; Saskatchewan; Manitoba |
SNRC | 62; 63; 72; 73; 74A; 74B; 74C; 74D; 74E; 74F; 82H; 82I; 82J; 82O; 82P; 83; 84 |
Région | Rivière Athabasca; Canadian Prairies |
Lat/Long OENS | -120.0000 -95.0000 59.0000 49.0000 |
Sujets | rivières; bassins versants; taux de décharge; précipitation; temperature; budget hydrologique; milieu hydrologique; hydrogéologie; Nature et environnement |
Illustrations | cartes de localisation; graphiques; graphiques; histogrammes; tableaux |
Programme | Géosciences de changements climatiques, Impacts des changements climatiques et adaptation dans le secteur des ressources naturelles et d'autres secteurs clés de l'économie |
Diffusé | 2009 11 06 |
Résumé | (disponible en anglais seulement) To better understand the natural modes of discharge from the Athabasca River and perform an appropriate trend prediction for the sustainability study of the
oilsand development in Alberta, long term instrumental records of annual river discharge, temperature, and precipitation time series from Canadian Prairie provinces were collected and analyzed for decadal and inter-decadal oscillation. Three types of
methods, auto-correlation, composite method and spectral analysis, were applied to extract the long-term natural variation. Synthetic time series, consisting of known periodic components of different cycle length and magnitude, mixed with linear
trend and red noise, were simulated and examined to help gain a better understanding of the behaviours of the quasi-periodic variation in the acquired real time series. |
GEOSCAN ID | 248138 |
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