Issue |
E3S Web Conf.
Volume 234, 2021
The International Conference on Innovation, Modern Applied Science & Environmental Studies (ICIES2020)
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Article Number | 00067 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/e3sconf/202123400067 | |
Published online | 02 February 2021 |
A review of soil erosion modeling by R/USLE in Morocco: Achievements and limits
1 Ibn Tofail, FLSH, Geographical Department, 14000 Kenitra, Morocco
2 CNESTEN Center, Conservatory management of water and soil, 10001 Rabat, Morocco
* Corresponding author: mmanaouch@gmail.com
Soil erosion is a major cause of land degradation. It can be estimated with several models, such as empirical, conceptual and physical based. One of the empirical models used worldwide nowadays for soil erosion assessment is the Universal Soil Loss Equation (USLE) and its updated form, the Revised Universal Soil Loss Equation (RUSLE). In Morocco, this model is being used to assess and quantify soil loss by water erosion. In spite of this, it was noted that limited studies employed correctly this important tool. The goal of this review paper was to identify potential usage of R/USLE models in Morocco. This was done by evaluating the conducted studies concerning these models and main gaps and challenges were determined accordingly. Improvement options and future requirements for using R/USLE models were recommended. In order to assess the statues of the R/USLE models applications, the 56 published documents related to R/USLE models conducted in Morocco during the first use till 2020 were collected and reviewed. These publications covered five main areas. The main benefits as well as gaps of the conducted studies were discussed for each area. Current concerns, need of future studies as well as related recommendations and suggestions were also presented.
© 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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