Issue |
E3S Web Conf.
Volume 298, 2021
1st International Congress on Coastal Research (ICCR 2020)
|
|
---|---|---|
Article Number | 01001 | |
Number of page(s) | 4 | |
Section | Coastal Hazards and Risk Assessment | |
DOI | https://doi.org/10.1051/e3sconf/202129801001 | |
Published online | 05 August 2021 |
Flood risk modeling in the watershed of Charâa stream, Province of Berkane (North-Eastern Morocco)
1 Applied Geosciences Laboratory "LGA", Department of Geology, Faculty of Sciences Oujda - FSO, Mohammed First University, Oujda
2 Research and Development in Engineering Sciences Laboratory "LRDSI", Department of Earth and Environmental Sciences, FSTH, Abdelmalek Essaadi University, Tetouan.
* Corresponding author: afif.hafssa@ump.ac.ma
The knowledge on floods in Morocco is sporadic and scattered between historical writings and natural events following each other in time and space. In this context, the identification of areas likely to be affected by floods is essential for better management of this risk. The present study aims to model the floods at the level of the two sides of the Charâa stream (the side of Berkane and Sidi Slimane Charâ). The methodology followed in this modeling consists of determining the geomorphology of the watershed and studying its hydrology. 2D hydraulic modeling by Iber software makes it possible to follow the Spatio-temporal evolution of the characteristics of a flood. In addition, it allows us to map the hazard. Furthermore, to assess vulnerability to flooding, we referred to land use (physical vulnerability) to study the behavior of runoff water in the face of socioeconomic issues such as buildings, facilities, and the road network. The results showed that: (1) - A predominance of high-intensity flood hazard in the floodplain; (2) - Land with medium and high vulnerability successively constitutes 46.50% and 31.10% of the total studied watershed area.
© The Authors, published by EDP Sciences, 2021
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.