Towards a neural networks-based prediction tool devoted to low water-levels forecasting. Case study on the Méjannes-le-Clap karst aquifer (France)

Acte de colloque

Adrien Coutouis, A. Johannet, Séverin Pistre, P.A. Ayral et Laurent Cadilhac

8th International Congress on Environmental Modelling and Software (iEMSs) (Toulouse, France, 10/07/2016–14/07/2016)

Résumé

drought.

forecasting

neural networks

water resource

karst modelling

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Titre: Towards a neural networks-based prediction tool devoted to low water-levels forecasting. Case study on the Méjannes-le-Clap karst aquifer (France)
Créateurs - sans rôle: Adrien Coutouis - IMT Mines Alès
A. Johannet - Laboratoire de Génie de l'Environnement Industriel
Séverin Pistre - Université de Montpellier, Hydrosciences Montpellier - HSM
P.A. Ayral - IMT Mines Alès
Laurent Cadilhac
Colloque: 8th International Congress on Environmental Modelling and Software (iEMSs) (Toulouse, France, 10/07/2016–14/07/2016)
Identifiants: 99151542009311
Unité académique: Hydrosciences Montpellier - HSM
Langue: English
Type de ressource: Conference proceeding
Champs locaux: hal-02127821