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022 |a0706-6457
040 |aCaOODSP|beng
043 |an-cn---
0861 |aFs97-6/2928E
1101 |aCanada. |bDepartment of Fisheries and Oceans.
24510|aFloods and droughts under different climate change scenarios in New Brunswick / |cby Noyan Turkkan, Nassir El-Jabi and Daniel Caissie.
260 |aMoncton - New Brunswick : |bFisheries and Oceans Canada |c2011.
300 |axii, 55p. : |bfigs., graphs, maps, tables ; |c28 cm.
4901 |aCanadian technical report of fisheries and aquatic sciences|x0706-6457|vNo. 2928
500 |a"Fisheries and Oceans Canada, Oceans and Science Branch, Diadromous Fish Section, 343 Université Avenue, Moncton, NB, E1C 9B6"--t.p.
5203 |aThe objectives are to carry out a modeling of river discharge of both floods and droughts using the Artificial Neural Network (ANN) approach to predict future river discharge in New Brunswick under different climate change scenarios, and to carry out high and low flow frequency analyses using predicted discharge to determine the level of expected changes in flows for design purposes. These targeted objectives will help improve the management of risks associated with climate change and will contribute towards a review of current criteria and procedures for the design of hydraulic structures and water resources infrastructure.
546 |a(Résumé en français)
563 |aSpiral binding
590 |a11-25|b2011-06-24
7201 |aTurkkan, Noyan
7201 |aEl-Jabi, Nassir
7201 |aCaissie, Daniel
7760#|tFloods and droughts under different climate change scenarios in New Brunswick / |w(CaOODSP)9.571527
830#0|aCanadian technical report of fisheries and aquatic sciences,|x0706-6457|vNo. 2928|w(CaOODSP)9.514691