Issue |
E3S Web Conf.
Volume 607, 2025
6th International Conference of GIS USERS (ERRACHIDIA GIS-USERS’2024)
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Article Number | 02005 | |
Number of page(s) | 7 | |
Section | Integrated Water Resources Management | |
DOI | https://doi.org/10.1051/e3sconf/202560702005 | |
Published online | 22 January 2025 |
Modeling the flow of Oued Cherraa Basin (northeastern Morocco) using the SWAT model and evaluating model performance
Geographic Information Technology and Space Management Team (ETIGGE), Laboratory of Communication, Education, Digital Uses, and Creativity, Faculty of Arts and Humanities, Mohamed 1st University, Oujda, Morocco
* Corresponding author: mohammed.laaboudi@ump.ac.ma
River flow modeling is essential for water resource management, particularly in poorly gauged basins such as the Oued Cherraa in eastern Morocco. In these areas, modeling serves as an alternative to direct monitoring, helping to understand hydrological responses to water challenges such as floods, droughts and irrigation needs. The study used the SWAT model (ArcSWAT 2012 version) to simulate river flow in the Oued Cherraa basin. A sensitivity analysis, calibration and validation process were carried out using the sequential uncertainty adjustment method (SUFI-2), which optimized model parameters and ensured accurate reproduction of flows. The model was refined to better capture the basin’s complex hydrological processes, providing critical data for water management and planning. Key parameters analyzed include the deep aquifer percolation fraction (RCHRG_DP), the calibration coefficient for normal flow, and the curve number (CN2). The results showed a strong correlation between observed and simulated flow data. The mean monthly flow at Tazarhine (on Oued Zegzel) was 0.99 m³/s, with a simulated value of 1.076 m³/s during calibration and validation.
Key words: Hydrological modeling / ArcSWAT / Oued Cherraa watershed
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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