| Title | Extreme river flow prediction for river water supply to oil sands mining sites, Athabasca River near Fort McMurray, Alberta, |
| Download | Downloads |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Chen, G; Chen, Z |
| Source | Geological Survey of Canada, Open File 6863, 2017, 147 pages, https://doi.org/10.4095/299742  Open Access |
| Image |  |
| Year | 2017 |
| Publisher | Natural Resources Canada |
| Document | open file |
| Lang. | English |
| Media | on-line; digital |
| Related | This publication is related to Support vector machine for
the prediction of future trend of Athabasca River (Alberta) flow rate |
| File format | pdf |
| Province | Alberta |
| NTS | 74D/11 |
| Area | Athabasca River; Fort McMurray |
| Lat/Long WENS | -111.5000 -111.0000 56.7500 56.5000 |
| Subjects | hydrogeology; mathematical and computational geology; Nature and Environment; modelling; climate; climatic fluctuations; temperature; precipitation; hydrologic properties; hydrologic environment;
surface waters; rivers; Climate change; Hydrology; Water supply; Water supply |
| Illustrations | time series; tables; plots; models |
| Program | Geoscience for New Energy Supply (GNES) Program Coordination |
| Released | 2017 03 07 |
| Abstract | (Summary)
This report has been prepared at the request of Geological Survey of Canada (GSC). The speci
c instructions from GSC asked to develop the following deliverables: 1. Computer R
source code in digital format; 2. Prediction results of extreme values of annual river ow rates (annual minimum and maximum); 3. A report that describes the methods and application to the Athabasca River near Fort McMurray;
4. The work is to be
completed and submitted by January 15, 2011.This report meets and exceeds the above requirements. |
| Summary | (Plain Language Summary, not published)
With increasing global mean temperature, extreme climate events become more evidence. Although various methods are available for predictions of river
flow rate, none of the methods have the capacity to estimate the extremes of river flows (particularly the annual low) by incorporating different climate change scenarios, which is essential for sustainable water supply under a changing climate. This
open file reports the results from a methodology study for prediction of future extreme river flow rates under different climate change scenarios. |
| GEOSCAN ID | 299742 |
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