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Machine-Learning and Physics-Based Numerical Modelling for Flood Level Forecasting in Rivers: Insights from a Case Study in Italy

Author(s): Susanna Dazzi; Alessia Ferrari; Paolo Mignosa

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Abstract: This paper considers the case study of the Parma River (Italy) to highlight drawbacks in data-driven methods for flood forecasting, in particular their limited flexibility in accounting for possible modifications in the river geometry or roughness, in comparison with physics-based models, which can be updated quite easily.

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Year: 2022

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