Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models PDF Download

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Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models

Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models PDF Author: Abebe Andualem Jemberie
Publisher: CRC Press
ISBN: 1482284030
Category : Science
Languages : en
Pages : 198

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Book Description
The complementary nature of physically-based and data-driven models in their demand for physical insight and historical data, leads to the notion that the predictions of a physically-based model can be improved and the associated uncertainty can be systematically reduced through the conjunctive use of a data-driven model of the residuals. 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.