<p>Karst aquifers are a crucial source of water, supplying approximately 10% of the global population and often serving as the sole water resource in certain regions. These aquifers are characterized by highly heterogeneous flow dynamics and exhibit significant temporal variability in both hydrodynamic and physico-chemical conditions. Continuous monitoring of these parameters is essential for advancing our understanding of karst aquifer functioning; however, comprehensive, high-frequency datasets remain limited. We present a comprehensive dataset covering 13 karst springs monitored across nine observatories of the French Karst National Observatory Service (SNO KARST), spanning various hydroclimatic regions (oceanic, mountainous, Mediterranean). The SNO KARST aims to strengthen knowledge-sharing and to promote cross-disciplinary research on karst systems at the national scale. The dataset includes: (1) hydrodynamic data (water level, discharge), and (2) physico-chemical data (water temperature, electric conductivity, pH, dissolved oxygen, turbidity, Total Organic Carbon (TOC), Dissolved Organic Carbon (DOC), nitrate, and organic matter fluorescence). Spanning over a decade of continuous monitoring, such a dataset is required for the analysis of the hydrological and physico-chemical dynamics of karst aquifers, the assessment of their vulnerability to pollution and climate change, and the modeling of hydrodynamic and hydrochemical variables, ultimately aiming to improve the management and preservation of these critical water resources in contrasted contexts.</p>

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Comprehensive dataset of continuously monitored hydrodynamic and physico-chemical parameters in various karst systems, France

  • Guillaume Cinkus,
  • Raphaël Bondu,
  • Mohammed Aliouache,
  • Hervé Jourde,
  • Naomi Mazzilli,
  • Bruno Arfib,
  • Vincent Bailly-Comte,
  • Christelle Batiot-Guilhe,
  • Hélène Celle,
  • Célestine Delbart,
  • Matthieu Fournier,
  • David Labat,
  • Nicolas Peyraube,
  • Marc Steinmann,
  • Danièle Valdès-Lao,
  • Cécile Baudement,
  • Sandra Béranger,
  • Stéphane Binet,
  • Anne Boetsch,
  • Pascal Brunet,
  • Simon Damien Carrière,
  • Konstantinos Chalikakis,
  • Jean-Baptiste Charlier,
  • Yohann Cousquer,
  • Christian Défarge,
  • Joshua Ducasse,
  • Christophe Emblanch,
  • Juliette Fabre,
  • Perrine Fleury,
  • Thibaut Garin,
  • Julien Huon,
  • Abderrahim Jardani,
  • Anne Johannet,
  • Johan Jouves,
  • Nevila Jozja,
  • Lucile Justy,
  • Bernard Ladouche,
  • Thierry Lamarque,
  • Roland Lastennet,
  • Véronique Léonardi,
  • Olivier Lobry,
  • Guillaume Lorette,
  • Christophe Loup,
  • Pierre Marchand,
  • Louis Manière,
  • Jean-Christophe Maréchal,
  • Lucie Martin,
  • Rémi Muller,
  • Nicolas Massei,
  • Fabien Naessens,
  • Chloé Ollivier,
  • Anne Probst,
  • Jean-Luc Seidel,
  • Leïla Serene,
  • Vianney Sivelle,
  • Alexandre Zappelli

摘要

Karst aquifers are a crucial source of water, supplying approximately 10% of the global population and often serving as the sole water resource in certain regions. These aquifers are characterized by highly heterogeneous flow dynamics and exhibit significant temporal variability in both hydrodynamic and physico-chemical conditions. Continuous monitoring of these parameters is essential for advancing our understanding of karst aquifer functioning; however, comprehensive, high-frequency datasets remain limited. We present a comprehensive dataset covering 13 karst springs monitored across nine observatories of the French Karst National Observatory Service (SNO KARST), spanning various hydroclimatic regions (oceanic, mountainous, Mediterranean). The SNO KARST aims to strengthen knowledge-sharing and to promote cross-disciplinary research on karst systems at the national scale. The dataset includes: (1) hydrodynamic data (water level, discharge), and (2) physico-chemical data (water temperature, electric conductivity, pH, dissolved oxygen, turbidity, Total Organic Carbon (TOC), Dissolved Organic Carbon (DOC), nitrate, and organic matter fluorescence). Spanning over a decade of continuous monitoring, such a dataset is required for the analysis of the hydrological and physico-chemical dynamics of karst aquifers, the assessment of their vulnerability to pollution and climate change, and the modeling of hydrodynamic and hydrochemical variables, ultimately aiming to improve the management and preservation of these critical water resources in contrasted contexts.