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Chapitre d'ouvrage

A Particle Swarm Optimization for Parameter Estimation of a Rainfall-Runoff Model

Abstract : Transfer function based models are widely used in hydrological modeling, especially for rainfall-runoff simulation. This paper deals with a new model associating three elementary transfer functions in series along four parallel branches. Each transfer function is a parametric probability density function with some physical meaning regarding hydrological transfers. Model inversion is performed using the so-called particle swarm optimization (PSO) technique. The systemic model and the PSO method were tested on the Sèvre Niortaise water catchment in France.
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Chapitre d'ouvrage
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https://hal-brgm.archives-ouvertes.fr/hal-03663874
Contributeur : Frédérique COUFFIGNAL Connectez-vous pour contacter le contributeur
Soumis le : mardi 10 mai 2022 - 14:48:34
Dernière modification le : mardi 17 mai 2022 - 15:12:03

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Frédéric Bardolle, Frédérick Delay, Francis Bichot, Gilles Porel, Nathalie Dörfliger. A Particle Swarm Optimization for Parameter Estimation of a Rainfall-Runoff Model. Mathematics of Planet Earth, Springer Berlin Heidelberg, pp.153-156, 2014, Lecture Notes in Earth System Sciences, ⟨10.1007/978-3-642-32408-6_36⟩. ⟨hal-03663874⟩

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