EGU25-7378, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-7378
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 29 Apr, 08:30–10:15 (CEST), Display time Tuesday, 29 Apr, 08:30–12:30
 
Hall A, A.115
Isotope-Enhanced Ecohydrological Modeling of Snow-Driven Recharge in Semi-Arid Mountains
Nadia Rhoujjati1, Sylvain Kuppel2, Yassine Ait Brahim3, Ali Rhoujjati1, Nicolas Patris4, Lhoussaine Bouchaou3,5, Taha Attou2,3, and Lahoucine Hanich1,6
Nadia Rhoujjati et al.
  • 1Laboratory of Georesources, Geoenvironment and Civil Engineering, Earth Sciences Department, Faculty of Sciences & Techniques, Cadi Ayyad University, Marrakech, Morocco(n.rhoujjati@uca.ac.ma)
  • 2GET, Univ Toulouse, CNRS, IRD, UT3, CNES, Toulouse, France
  • 3Mohammed VI Polytechnic University (UM6P), International Water Research Institute (IWRI), Benguerir, Morocco
  • 4HydroSciences Montpellier, Univ. Montpellier, CNRS, IRD, Montpellier, France
  • 5Laboratory of Applied Geology and Geo-Environment, Ibn Zohr University, Faculty of Sciences, Agadir, Morocco
  • 6Mohammed VI Polytechnic University (UM6P), Geology and Sustainable Mining Institute (GSMI), Morocco

This study investigates the dynamic behavior of snow in semi-arid mountainous landscapes, emphasizing the use of the isotope signal as a tool for tracing hydrological processes. Thin snowpack poses a significant challenge, leading to extensive shifts in isotope values and complicating the estimation of catchment-average snowpack signatures. Traditional mixing models fall short in such scenarios, necessitating detailed approaches involving sampling along the hydrological pathway. The research employs a tracer-enabled spatially-distributed, process-based ecohydrological modeling approach to evaluate groundwater recharge processes in the complex settings of a regional watershed in the Middle Atlas mountains of Morocco. The study's objectives are to quantify recharge rates and dynamics seasonal variations, conducting a comparative analysis of yearly to sub-seasonal trends dating from 2017 onwards, and exploring stable isotope dynamics in snow-fed compartments of the hydrological cycle. The preliminary results of the ecohydrological simulations are discussed ; the simulated streamflow exceeds observed values, attributed to factors such as low winter evapotranspiration and the generalized spatialization of parameters. Variations in water table levels of each aquifer, and evapotranspiration data reveal a time lag influenced by seasonal variations and vegetation density. Stable isotopes closely mirror observed data, indicating the model's capability to capture the dynamic behavior of the aquifer system, with spatialized maps revealing a time delay between peak SWE (Snow Water Equivalent) abundance and isotopic depletion. Recharge dynamics are notably influenced by Triassic clay formations, with higher rates in exceptionally wet years and variations based on geological properties. The study highlights the important role of SWE in groundwater recharge, with peak SWE coinciding with major recharge events, and decreasing SWE contributing to groundwater depletion.

Keywords: Recharge, snowpack, isotope, ech2o-iso, snowmelt.

How to cite: Rhoujjati, N., Kuppel, S., Ait Brahim, Y., Rhoujjati, A., Patris, N., Bouchaou, L., Attou, T., and Hanich, L.: Isotope-Enhanced Ecohydrological Modeling of Snow-Driven Recharge in Semi-Arid Mountains, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7378, https://doi.org/10.5194/egusphere-egu25-7378, 2025.