Issue |
E3S Web Conf.
Volume 489, 2024
4th International GIRE3D Congress “Participatory and Integrated Management of Water Resources in Arid Zones” (GIRE3D 2023)
|
|
---|---|---|
Article Number | 04009 | |
Number of page(s) | 6 | |
Section | Numerical Modeling, Remote Sensing, Geomatic & Application of Intelligence Artificielle | |
DOI | https://doi.org/10.1051/e3sconf/202448904009 | |
Published online | 09 February 2024 |
The effect of landuse dynamics on water balance components in the Upper Oum Er Rabia Basin, Morocco
Sidi Mohamed Ben Abdallah University, FST-Fez, Route d’Imouzzer, P.O. Box, 2202, Fez, Morocco
* Corresponding author: el_garouani@yahoo.fr
The Upper Oum Er-Rbia Basin (UOERB) has been facing significant land use/land cover change and urban sprawl dynamics in recent years, in addition to significant climatic variability leading to disruption of precipitation intensity and quantity. Our approach is to identify the morphometric characteristics of the study region and monitor changes in land use and land cover by analyzing Landsat images. These factors form the input parameters for the HEC-HMS (Hydrologic Engineering Center - Hydrologic Modeling System) hydrological model for simulating daily historical hydro-climatic events. The classification of Landsat images shows that the Upper Oum Er-Rbia Basin has experienced significant landuse dynamics over the past 30 years, resulting in disrupted rainfall and recurrent flooding events. Overall, the hydrological simulation shows good agreement between observed and simulated flow hydrographs, with Nash criteria between 0.6 and 0.8. This knowledge enables us to better estimate the return flows in the catchment area, and to take appropriate action in terms of hydraulic management and development in the Upper Oum Er-Rbia Basin.
© The Authors, published by EDP Sciences, 2024
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.