
Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models
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The objective of this thesis is to minimise the inevitable mismatch between physically-based models and the actual processes as described by the mismatch between predictions and observations. The complementary modelling approach is applied to various hydrodynamic and hydrological models