Guillaume Cinkus

74%
Libre accès
23
Documents
Affiliations actuelles
  • Service National d'Observation sur le KARST (SNO Karst)
  • Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH)
  • Avignon Université (AU)
  • Chaire GeEAUde (GeEAUde)
Identifiants chercheurs

Domaines de recherche

Hydrologie

Compétences

Hydrological modelling Data analysis Software development

Publications

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Publications

Hydrogeological forecasting of deep-seated landslides dynamics: structure and sensitivity of tank models

Olivier Béjean-Maillard , Catherine Bertrand , Jean-Philippe Malet , Guillaume Cinkus , Pierre Nevers et al.
Article dans une revue hal-04976057 v1
Image document

Improvement of the KarstMod modelling platform for a better assessment of karst groundwater resources

Vianney Sivelle , Guillaume Cinkus , Naomi Mazzilli , David Labat , Bruno Arfib et al.
Hydrology and Earth System Sciences, 2025, 29 (5), pp.1259 - 1276. ⟨10.5194/hess-29-1259-2025⟩
Article dans une revue hal-05019825 v1
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Advancing the Understanding of Complex Piezometric Information: A Methodological Approach Integrating Long-Term Piezometry, Surface Nuclear Magnetic Resonance, and Fracture Analysis Using Insights from the “Calcaires du Barrois” Series, France

Mathieu Bertrand , Catherine Bertrand , Naomi Mazzilli , Sylvain Gigleux , Sophie Denimal et al.
Water, 2024, 16 (12), pp.1700. ⟨10.3390/w16121700⟩
Article dans une revue hal-04662280 v1
Image document

Improvement of the KarstMod modeling platform for a better assessment of karst groundwater resources

Vianney Sivelle , Guillaume Cinkus , Naomi Mazzilli , David Labat , Bruno Arfib et al.
Hydrology and Earth System Sciences Discussions, In press, ⟨10.5194/hess-2023-17⟩
Article dans une revue hal-04527880 v1
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Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions

Guillaume Cinkus , Andreas Wunsch , Naomi Mazzilli , Tanja Liesch , Zhao Chen et al.
Hydrology and Earth System Sciences, 2023, 27 (10), pp.1-25. ⟨10.5194/hess-27-1961-2023⟩
Article dans une revue hal-04115461 v1
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When best is the enemy of good – critical evaluation of performance criteria in hydrological models

Guillaume Cinkus , Naomi Mazzilli , Hervé Jourde , Andreas Wunsch , Tanja Liesch et al.
Hydrology and Earth System Sciences, 2023, 27 (13), pp.2397-2411. ⟨10.5194/hess-27-2397-2023⟩
Article dans une revue hal-04149938 v1
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KarstID : an R Shiny application for the analysis of karst spring discharge time series and the classification of karst system hydrological functioning

Guillaume Cinkus , Naomi Mazzilli , Hervé Jourde
Environmental Earth Sciences, 2023, 82 (6), pp.1-19. ⟨10.1007/s12665-023-10830-5⟩
Article dans une revue hal-04018696 v1
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Karst spring discharge modeling based on deep learning using spatially distributed input data

Andreas Wunsch , Tanja Liesch , Guillaume Cinkus , Nataša Ravbar , Zhao Chen et al.
Hydrology and Earth System Sciences, 2022, 26, pp.2405-2430. ⟨10.5194/hess-26-2405-2022⟩
Article dans une revue insu-03690235 v1
Image document

Identification of relevant indicators for the assessment of karst systems hydrological functioning: proposal of a new classification

Guillaume Cinkus , Naomi Mazzilli , Hervé Jourde
Journal of Hydrology, 2021, 603, Part C, pp.127006. ⟨10.1016/j.jhydrol.2021.127006⟩
Article dans une revue hal-03390213 v1