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CNRS Université de Strasbourg

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Ecole et Observatoire des Sciences de la Terre Ecole Nationale du Génie de l'Eau et de l'Environnement de Strasbourg

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Accueil > Thèmes de recherche

Research themes

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Research Topics

LHyGeS is a research and training center studying alteration, weathering, and transfer processes in continental hydrosystems, and one of the few French laboratories with a substantial staff (75 fellows) committed with Hydrology and Geochemistry.

- Isotope and Experimental Biogeochemistry Bise

- Transfers in continental hydrosystems TRyCo

Research Projects

  • Recharge and mass transfer in alluvial aquifers
    • Recharge and mass transfer in wetlands.
    • Groundwater contamination by chloride.
    • Impacts of climate change on the hydrology of the Upper Rhine Aquifer.
  • Modifications of surface and subsurface processes due to anthropogenic activities
    • Hydrological and Geochemical characterization of reservoirs and water catchments.
    • Role of major and trace minerals in solid/fluid interactions.
  • Pollution : waste storage and bio-remediation
    • Hydro-geochemical stability of reactive bareers.
    • Pesticide biodegradation in artificial wetlands.
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Common Means

Research teams in LHyGeS benefit from the technical support of a geochemical analysis center dedicated to water chemistry and isotope measurements. The laboratory also makes good notes of experimental gear and protocols for the purpose of traceability and user’s assistance. Some parts of the numerical codes are also transversal to the teams, hosted within a common digital resource, including documentation, various applications, and benchmarking exercises.

Finally, LHyGeS relies upon the Hydro-Geochemical Observatory of the Environment (OHGE-EOST) as an instrumented site suited to research in hydrology, water chemistry, liquid-solid interface interactions, solid transport, and isotopic signatures of weathering. The observatory also offers the possibility for LHyGeS researchers to face their hydrological and hydro-geochemical models against the numerous collected data.