EGU24-11526, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-11526
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Modeling Groundwater Resource in Northern France Amidst Rising Anthropogenic Pressure and Climate Change

Pascal Audigane1, Géraldine Picot-Colbeaux1, Ryma Aissat1, Etienne Buscarlet1, Nadia Amraoui1, and the URBEAU, CALL and AMEVA SOMME Project Teams*
Pascal Audigane et al.
  • 1BRGM (French Geological Survey), Water Division, Orléans, France (p.audigane@brgm.fr)
  • *A full list of authors appears at the end of the abstract

We present a panel of numerical modeling studies aimed to improve groundwater management resources for different contexts in the Northern part of France (the 'Hauts-de-France' Region). The objective is to demonstrate the capacities and limitations of modeling tools in reproducing observed data and providing predictions on the groundwater evolution under increasing anthropic pressures and climate change. Numerical models are developed in 3D at the regional scale to evaluate various scenarios of groundwater management, considering several types of anthropic or natural constraints such as pumping for irrigation, drinking water and/or industrial use, land use evolution, and modifications in precipitation and/or evapotranspiration due to climate change.

In the three case studies presented, groundwater models are developed using BRGM’s 3D volume finite numerical tool MARTHE. The first case aims to characterize groundwater dynamics to identify the risks of flooding in the sewerage network of the urban communities of Lens-Liévin. The second case explores the role of land use in groundwater modeling for the sustainable management of the Lille Metropolitan Area. The third case evaluates the impact of climate change on the groundwater resource of the Somme River watershed.

Limitations and capacities to assess such complex hydrogeological systems are discussed, particularly concerning the uncertainty in the simulated results, the CPU time and space resolution constraints necessary for a meaningful calibration of observed data.

URBEAU, CALL and AMEVA SOMME Project Teams:

URBEAU (Ryma Aissat, Géraldine Picot-Colbeaux, Cécile Herivaux, Marc Parmentier, Pascal Audigane, Adrien Manlay, Frédéric Mathurin, Jean-Pierre Vergnes, Jean-Rémi Mossmann), CALL (Géraldine Picot-Colbeaux, Nicolas Devau, Adrien Manlay, Valentine Debois, Pascal Goderniaux, Lucas Jehanno, Baptiste Meire​) AMEVA SOMME (Etienne Buscarlet, Rémi Thièblemont, Luc Arnaud, Elena Goalic)

How to cite: Audigane, P., Picot-Colbeaux, G., Aissat, R., Buscarlet, E., and Amraoui, N. and the URBEAU, CALL and AMEVA SOMME Project Teams: Modeling Groundwater Resource in Northern France Amidst Rising Anthropogenic Pressure and Climate Change, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11526, https://doi.org/10.5194/egusphere-egu24-11526, 2024.