Neural Network Modeling and Geochemical Wateranalyses to Understand and Forecast Karst and Non-Karstpart of Flash Floods (Case Study on Thelezriver,Southern France) T
Neural network modeling and geochemical wateranalyses to understand and forecast karst and non-karstpart of flash floods (case study on theLezriver,Southern France) T. Darras, F. Raynaud, V. Borrell Estupina, L. Kong-A-Siou, S. Van-Exter, B. Vayssade, A. Johannet, S. Pistre To cite this version: T. Darras, F. Raynaud, V. Borrell Estupina, L. Kong-A-Siou, S. Van-Exter, et al.. Neural network modeling and geochemical wateranalyses to understand and forecast karst and non-karstpart of flash floods (case study on theLezriver,Southern France). Proceedings of the International Association of Hydrological Sciences, Copernicus Publications, 2015, 369, pp.43-48. 10.5194/piahs-369-43-2015. hal-02140378 HAL Id: hal-02140378 https://hal.archives-ouvertes.fr/hal-02140378 Submitted on 27 May 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Extreme Hydrological Events (JH01 – IUGG2015) Proc. IAHS, 369, 43–48, 2015 proc-iahs.net/369/43/2015/ Open Access doi:10.5194/piahs-369-43-2015 © Author(s) 2015. CC Attribution 3.0 License. Neural network modeling and geochemical water analyses to understand and forecast karst and non-karst part of flash floods (case study on the Lez river, Southern France) T.
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