2021
DOI: 10.1051/e3sconf/202123400082
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Assessment of soil erosion using two spatial approaches: RUSLE and SWAT Model

Abstract: In this paper, we attempted to review the erosion in the Ouergha watershed by applying two spatial approaches. The Ouergha watershed has an area of around 7300 km² representing approximately 18.2% of the Sebou basin of which it is the main tributary. In order to develop the erosion map using the SWAT model, it was important to prepare a large spatial database describing basin proprieties, furthermore, the daily hydro-climatic data. This model integrates MUSLE equation for the estimation of specific degradation… Show more

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Cited by 4 publications
(3 citation statements)
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“…The Ouergha catchment is located in northern Morocco and it covers an area of around 7300 km² which represents about 18.2 % of the Sebou basin of which it is part [14]. It is controlled by Al Wahda dam.…”
Section: Data Pre-processing and Study Areamentioning
confidence: 99%
See 1 more Smart Citation
“…The Ouergha catchment is located in northern Morocco and it covers an area of around 7300 km² which represents about 18.2 % of the Sebou basin of which it is part [14]. It is controlled by Al Wahda dam.…”
Section: Data Pre-processing and Study Areamentioning
confidence: 99%
“…The model was calibrated and validated over the basin in previous works [10,14]. The SWAT model of the basin was obtained after a calibration-validation and a detailed sensitivity analysis processes that allows converging to the best SWAT model in terms of efficiency.…”
Section: Hydrological Modelmentioning
confidence: 99%
“…For instance, Ref. [ 16 , 17 , 18 , 19 , 20 ] employed the SWAT model to simulate basin hydrology in a variety of tropical basins in Morocco and was able to demonstrate its flexibility, consistency, and applicability as a hydrological model for the planning and management of water resources. However, the majority of SWAT implementations in Morocco concentrated on low-altitude basins unaffected by snow.…”
Section: Introductionmentioning
confidence: 99%