Performance and intercomparison of two hydrogeological models (semi-physical and neural networks) to forecast groundwater floods of a fractured karst aquifer. Case study of the Cadarache site of the French Alternative Energies and Atomic Energy center - IMT Mines Alès
Communication Dans Un Congrès Année : 2024

Performance and intercomparison of two hydrogeological models (semi-physical and neural networks) to forecast groundwater floods of a fractured karst aquifer. Case study of the Cadarache site of the French Alternative Energies and Atomic Energy center

Manon Erguy
Hydrosciences Montpellier
IMT Mines Alès - ERT
Sébastien Morilhat
  • Fonction : Auteur
  • PersonId : 1064330
Guillaume Artigue
Hydrosciences Montpellier
IMT Mines Alès - ERT
CV
Julien Trincal
  • Fonction : Auteur
  • PersonId : 1335608
  • IdRef : 191361577
Anne Johannet
Hydrosciences Montpellier
IMT Mines Alès - ERT
CV
Séverin Pistre
Hydrosciences Montpellier
CV

Domaines

Sciences de l'environnement

Administrateur IMT - Mines Alès  : Connectez-vous pour contacter le contributeur

https://imt-mines-ales.hal.science/hal-04625599

Soumis le : mercredi 26 juin 2024-11:21:35

Dernière modification le : lundi 2 décembre 2024-14:48:12

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hal-04625599 , version 1 (26-06-2024)

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  • HAL Id : hal-04625599 , version 1

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Manon Erguy, Sébastien Morilhat, Guillaume Artigue, Julien Trincal, Anne Johannet, et al.. Performance and intercomparison of two hydrogeological models (semi-physical and neural networks) to forecast groundwater floods of a fractured karst aquifer. Case study of the Cadarache site of the French Alternative Energies and Atomic Energy center. Eurokarst 2024, Jun 2024, Rome, Italy. ⟨hal-04625599⟩

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