Modeling Under Uncertainty
Up to this point, all the modeling efforts presented in this book have been based on the deterministic approach. This approach assumes (1) a full knowledge and understanding of the physical/chemical processes that occur within an investigated domain, (2) a mathematical model that correctly represents these processes and can be used to predict future responses to imposed excitations, (3) the availability of information (measured or derived) on all parameters and coefficients that appear in the mathematical model, and, on the domain’s geometry, as well as on the initial and boundary conditions.
KeywordsCorrelation Length Random Function Ensemble Average Random Parameter River Stage
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