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Modelling the potential effects of Oil-Sands tailings pond breach on the water and sediment quality of the Lower Athabasca River.
Sci Total Environ. 2018 Nov 15;642:1263-1281. doi: 10.1016/j.scitotenv.2018.06.163. Epub 2018 Jun 20.
Sci Total Environ. 2018.
PMID: 30045507
Two-dimensional numerical modelling of sediment and chemical constituent transport within the lower reaches of the Athabasca River.
Kashyap S, Dibike Y, Shakibaeinia A, Prowse T, Droppo I.
Kashyap S, et al.
Environ Sci Pollut Res Int. 2017 Jan;24(3):2286-2303. doi: 10.1007/s11356-016-7931-3. Epub 2016 Nov 3.
Environ Sci Pollut Res Int. 2017.
PMID: 27812969
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An integrated numerical framework for water quality modelling in cold-region rivers: A case of the lower Athabasca River.
Shakibaeinia A, Kashyap S, Dibike YB, Prowse TD.
Shakibaeinia A, et al. Among authors: dibike yb.
Sci Total Environ. 2016 Nov 1;569-570:634-646. doi: 10.1016/j.scitotenv.2016.06.151. Epub 2016 Jul 2.
Sci Total Environ. 2016.
PMID: 27376919
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Numerical modelling of oil-sands tailings dam breach runout and overland flow.
Mahdi A, Shakibaeinia A, Dibike YB.
Mahdi A, et al. Among authors: dibike yb.
Sci Total Environ. 2020 Feb 10;703:134568. doi: 10.1016/j.scitotenv.2019.134568. Epub 2019 Nov 2.
Sci Total Environ. 2020.
PMID: 31757534
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Temporal neural networks for downscaling climate variability and extremes.
Dibike YB, Coulibaly P.
Dibike YB, et al.
Neural Netw. 2006 Mar;19(2):135-44. doi: 10.1016/j.neunet.2006.01.003. Epub 2006 Mar 9.
Neural Netw. 2006.
PMID: 16527456
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