E3S Web Conf.
Volume 298, 20211st International Congress on Coastal Research (ICCR 2020)
|Number of page(s)||6|
|Section||Coastal Hydrology and Hydrogeology|
|Published online||05 August 2021|
A comparative study to assess surface water's anthropic and natural vulnerability using the DKPR and RUSLE approaches. Case of the watershed of the Joumouaa dam (Coastal basin of Ghiss, North East Morocco)
1 Laboratory of Research and Development in Engineering Sciences. Research Team: Applied Geosciences and Geological Engineering. Department of Earth and Environmental Sciences. Faculty of Science and Technique of Al Hoceima-Abdelmalek Essaadi University. Morocco.
2 Laboratory Water Resources Valorisation, Science and Technology Faculty, University of Tlemcen, Chetouane. Algeria.
* Corresponding author: firstname.lastname@example.org
The salinization of surface water in a coastal context leads to a qualitative degradation of this resource by various sources of anthropogenic and natural pollution. In this context, we present the results of a comparative study using "DKPR" and "RUSLE" models to evaluate the degree of surface water vulnerability against pollution, especially in the sub-watershed of the Joumouaa dam, a hydraulic infrastructure providing drinking water for the Targuist city. The "DKPR" model adopted as a qualitative approach involves four parameters: Accessibility of the aquatic environment (D), Water functioning of the soil and subsoil (K), Physiography watershed (P), Rainfall erosivity (R). The final result is a resource vulnerability map obtained by combining index maps of these four parameters using remote sensing and GIS. The "RUSLE" model applied as a quantitative approach integrates five factors in a multiplying function, namely: rainfall erosivity (R), soil erodibility (K), slope length and steepness (LS), cover-management (C), and soil conservation practices (P) in a remote sensing and GIS environment. The analysis of the final vulnerability maps of the approaches mentioned above will be helpful support for water resource managers and decision-makers better identify areas of high risk and their protection.
© 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.
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