EGU23-7444, updated on 15 Mar 2024
https://doi.org/10.5194/egusphere-egu23-7444
EGU General Assembly 2023
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Hydrological modeling using an improved algorithm for a better evaluation of the snow water equivalent (SWE) during spring floods in the Moroccan High Atlas Mountains.

Myriam Benkirane1, simon Gascoin2, Abdelhakim Amazirh3, Laura Sourp2, Nour-Eddine Laftouhi1, and Said Khabba3,4
Myriam Benkirane et al.
  • 1Cadi Ayyad University, Faculty of Sciences Semlalia, Geology, Marrakech, Morocco (myriam14.benkirane@gmail.com), (laftouhi@gmail.com)
  • 2CESBIO, Université de Toulouse, CNES/CNRS/IRD/INRA/UPS, 31400 Toulouse, France (simon.gascoin@cesbio.cnes.fr), (laura.sourp@univ-tlse3.fr)
  • 3Center for Remote Sensing Applications (CRSA), Mohammed VI Polytechnic University (UM6P), 43150 Benguerir, Morocco (Abdelhakim.Amazirh@um6p.ma), (khabba@uca.ac.ma)
  • 4LMFE, Faculté des Sciences Semlalia, Université Cadi Ayyad, 40000 Marrakech, Maroc (khabba@uca.ac.ma)

The present study aims to evaluate the performance of a hydrological model to simulate spring runoff processes, analyze the effect of snowmelt on seasonal flow, and identify the snowmelt contribution rate based on the snow water equivalent (SWE) in the Moroccan High Atlas watersheds.

The main objective of this study is to evaluate the daily SWE in a poorly instrumented mountainous watershed using an improved hydrological model. The model algorithm improvement is considered an essential approach for better understanding the initial basin conditions that influence these hydrogeological behaviors. For this purpose, a seasonal analysis was performed to select flood events that reproduce this phenomenon.

To this end, the calibration has been done by forcing the model with rainfall, runoff, temperature, and snow water equivalent (SWE), with an amelioration of the model algorithm. Interestingly enough, this improvement achieved 13% based on the Nash-Sutcliffe efficiency coefficients. Hence, the spring event flows were influenced by the snowmelt process, these results will have direct implications for flood event replication modeling and flood forecasting in these regions.

The study demonstrates that this region is sensitive to the seasonal effect of snowmelt. Therefore, it is essential to take into account the contribution of snow in hydrological studies developed at the level of the Moroccan High Atlas mountainous watersheds. This approach is a great challenge that will improve the reproduction of seasonal flood events and allow a better forecast of flood events to reduce the uncertainties and risks of flooding in mountainous basin areas facing the same climate conditions.

Keywords: Precipitation, SWE, Hydrological modeling, Calibration, Mediterranean climate, flood events, Zat basin.

How to cite: Benkirane, M., Gascoin, S., Amazirh, A., Sourp, L., Laftouhi, N.-E., and Khabba, S.: Hydrological modeling using an improved algorithm for a better evaluation of the snow water equivalent (SWE) during spring floods in the Moroccan High Atlas Mountains., EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-7444, https://doi.org/10.5194/egusphere-egu23-7444, 2023.