Výsledky vyhledávání - "Anne Johannet"

Akademický článek

A review of flash‐floods management: From hydrological modeling to crisis management

Autor: Salma Sadkou, Guillaume Artigue, Noémie Fréalle, Pierre‐Alain Ayral, Séverin Pistre, Sophie Sauvagnargues, Anne Johannet

Publikováno v: Journal of Flood Risk Management, Vol 17, Iss 3, Pp n/a-n/a (2024)

Abstract In a context of climate change, flash‐floods are expected to increase in frequency. Considering their devastating impacts, it is primordial to safeguard the exposed population and infrastructure. This is the responsibility of crisis manage

Externí odkaz: https://doaj.org/article/8e09e8bc50734cabb22dd17e874511a5

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Akademický článek

Uncertainty Estimation in Hydrogeological Forecasting with Neural Networks: Impact of Spatial Distribution of Rainfalls and Random Initialization of the Model

Autor: Nicolas Akil, Guillaume Artigue, Michaël Savary, Anne Johannet, Marc Vinches

Publikováno v: Water, Vol 13, Iss 12, p 1690 (2021)

Neural networks are used to forecast hydrogeological risks, such as droughts and floods. However, uncertainties generated by these models are difficult to assess, possibly leading to a low use of these solutions by water managers. These uncertainties

Externí odkaz: https://doaj.org/article/71ed592f63374f1791dd413e2c532272

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Akademický článek

Contribution des zones d'échanges entre eau de surface et eau souterraine à la biodiversité des hydrosystèmes : exemple d'une rivière méditerranéenne, la Cèze

Autor: Pierre Marmonier, Marie-José Dole-Olivier, Michel Creuzé des Châtelliers, Hervé Chapuis, Jordan Re-Bahuaud, Anne Johannet, Laurent Cadilhac

Publikováno v: Physio-Géo, Vol 13, Pp 75-90

In a close future, Mediterranean rivers will support strong disturbances due to climate changes, with inexorable consequences for their fauna. The invertebrate biodiversity of the Cèze River (South of France) was studied in a karstic area. The benth

Externí odkaz: https://doaj.org/article/7885813e1435472e9235578424511205

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Towards a better consideration of rainfall and hydrological spatial features by a deep neural network model to improve flash floods forecasting: case study on the Gardon basin, France

Autor: Bob E. Saint-Fleur, Sam Allier, Emilien Lassara, Antoine Rivet, Guillaume Artigue, Séverin Pistre, Anne Johannet

Publikováno v: Modeling Earth Systems and Environment.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::92bdb405b37014a14d2b9e510c6239d8
https://doi.org/10.1007/s40808-022-01650-w

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Towards a flash flood forecasting model for local crisis managers

Autor: Salma Sadkou, Guillaume Artigue, Pierre-Alain Ayral, Séverin Pistre, Sophie Sauvagnargues, Anne Johannet

Southern France is frequently hit with severe flash floods. These events have caused numerous casualties as well as considerable economic losses. In France, crisis inducing floods are managed at a local scale by municipalities. Current forecasting mo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::66731f90c816a3f7059c3fa5a7da6dbf
https://doi.org/10.5194/iahs2022-379

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Prediction of water level variations in aquifers using recurrent and convolutional neural networks

Autor: Lea Duran, Rida Mouni, Valentin Duperron, Loïc Maisonnasse, Guillaume Artigue, Séverin Pistre, Anne Johannet

The use of artificial intelligence models to simulate and forecast groundwater has become more and more popular since the early 1990ies. These models able to forecast groundwater levels are increasingly being used to support decision making for water

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aad4d281e542e117541531cc64208d29
https://doi.org/10.5194/iahs2022-750

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Groundwater floods: linking the hydrodynamic characterisation of the karst aquifer at the Cadarache CEA centre (South of France) to the karst structure using statistical analysis of temperature

Autor: Manon Erguy, Sébastien Morilhat, Guillaume Artigue, Julien Trincal, Anne Johannet, Séverin Pistre

Karst environments can be subject to rising water tables leading to rapid kinetic floods (a few hours) of great amplitude (about tens of meters) due to heavy rainfall. The Cadarache centre of the French Alternative Energies & Atomic Energy Commission

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f9bd0711f595e282a2f334b775c593df
https://doi.org/10.5194/iahs2022-281

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Application of statistical approaches to piezometry to improve the understanding of the karst aquifer hydrodynamic behavior at the Cadarache CEA center (France)

Autor: Manon Erguy, Sébastien Morilhat, Guillaume Artigue, Julien Trincal, Anne Johannet, Severin Pistre

Publikováno v: Eurokarst 2022-3rd European Conference on Karst Hydrogeology and Carbonate Reservoirs
Eurokarst 2022-3rd European Conference on Karst Hydrogeology and Carbonate Reservoirs, Jun 2022, Malaga, Spain. ⟨10.1007/978-3-031-16879-6_10⟩
Advances in Karst Science ISBN: 9783031168789

International audience; Located in the French Mediterranean region, the French Alternative Energies and Atomic Energy Commission (CEA) Cadarache Centre is subject to significant rainfall events which can lead to groundwater floods with rapid kinetics

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a541b4f1f5e23473319afe5902ba772e
https://imt-mines-ales.hal.science/hal-03715042

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Previsão da turbidez operacional em aquífero cárstico por redes neurais e o papel da complexidade na concepção do modelo: um estudo de caso na bacia do Yport na Normandia (França)

Autor: Emmanuel Hauchard, Jean-Paul Dupont, Michaël Savary, Nicolas Massei, Anne Johannet

Publikováno v: Hydrogeology Journal
Hydrogeology Journal, Springer Verlag, 2021, Special Issue "Five decades of advances in karst hydrogeology", ⟨10.1007/s10040-020-02277-w⟩

International audience; Karst aquifers are highly susceptible to pollution transport, particularly turbidity, because these aquifers do not filter water to any significant degree. This may occasionally induce sanitary issues for the population and, t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::599dc805c77eab8c4721b14c68a96c12
https://doi.org/10.1007/s10040-020-02277-w

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Karst modelling challenge 1: Results of hydrological modelling

Publikováno v: Journal of Hydrology
Journal of Hydrology, Elsevier, 2021, 600, pp.126508. ⟨10.1016/j.jhydrol.2021.126508⟩
Journal of hydrology, 600, 126508
Journal of Hydrology, 2021, 600, pp.126508. ⟨10.1016/j.jhydrol.2021.126508⟩

International audience; The complexity of karst groundwater flow modelling is reflected by the amount of simulation approaches. The goal of the Karst Modelling Challenge (KMC) is comparing different approaches on one single system using the same data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97cb7f388105ebf4ffd27c6d4e0e9bbd
https://hal.mines-ales.fr/hal-03265800

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