Magazine article from our research archive:
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A review of statistical water temperature models.
- Article from:
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Canadian Water Resources Journal
- Article date:
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September 22, 2007
- Author:
- Benyahya, Loubna; Caissie, Daniel; St-Hilaire, Andre; Ouarda, Taha B.M.J.; Bobee, Bernard
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Copyright informationCOPYRIGHT 2007 Canadian Water Resources Association. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan. All inquiries regarding rights should be directed to the Gale Group. (Hide copyright information)
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Abstract: The use of statistical models to simulate or to predict stream water temperature is becoming an increasingly important tool in water resources and aquatic habitat management. This article provides an overview of the existing statistical water temperature models. Different models have been developed and used to analyze water temperature-environmental variables relationship. These are grouped into two major categories: deterministic and statistical/stochastic models. Generally, deterministic models require numerous input data (e.g., depth, amount of shading, wind velocity). Hence, they are more appropriate for analyzing different impact scenarios due to anthropogenic ...
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