Abstract
The area of our study is Allal El Fassi dam watershed, which is a sub-basin of Sebou in the Moroccan Middle Atlas. We applied the revised universal soil loss equation (RUSLE) developed at the origin by Wischmeier and Smith 1958 to quantify the rainfall soil loss, and predict the average. Using this mathematic model combining GIS (ArcGIS10.2) and remote sensing, we were able to estimate five parameters [(R) rainfall erosivity, (K) soil erodibilty, (LS) slope length and steepness, (C) cover management factor and (P) support practice factor]. Results showed that over 1% of the catchment area undergoes intense erosion (between 14 and 76 t/ha/year) concentrated mainly in the NE–SE and NS corridor toward the communes of Boulemane, Sekoura and Tazouta, and require urgent action, while the majority of the catchment area experiences low to medium erosion (0–14 t/ha/year).
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References
Direction régionale des eaux et forêts moyen Atlas, Projet de développement intégré des zones prioritaires du bassin versant Allal El Fassi, 2002, 3
Otukei JR, Blaschke T (2010) Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms. Int J Appl Earth Obs Geoinf 12:S27–S31
Thomlinson JR, Bolstad PV, Cohen WB (1999) Coordinating methodologies for scaling landcover classifications from site-specific to global: steps toward validating global map products. Remote Sens Environ 70(1):16–28
Jensen JR (2000) Remote sensing of the environment: an earth resource perspective, 1st edn. Prentice Hall Inc, Upper Saddle River, NJ
Kalman R (1967) Essai d’évaluation pour le pré-Rif du facteur couverture végétale de la formule de Wischmeier de calcul de l’érosion. In: Rapport Rabat, pp 1–12
Alexandridis TK, Sotiropoulou AM, Bilas G, Karapetsas N, Silleos NG (2015) The effects of seasonality in estimating the c-factor of soil erosion studies. Land Degrad Develop 26:596–603
Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses, a guide to conservation planning. U.S. Department of Agriculture, Agriculture Handbook No. 537, pp 29–34
Direction régionale des eaux et forêts moyen Atlas, Rapport de synthèse – Etude d’aménagement du bassin versant a l’amont du barrage Allal Al Fassi, volume II: Evaluation d’érosion et ces conséquences, 1997, pp 20–21
Panagos P, Borrelli P, Meusburger K, Alewell C, Lugato E, Montanarella L (2015) Estimating the soil erosion cover management factor at the European scale. Land Use Policy 48:38–50
Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses, a guide to conservation planning. US Department of Agriculture, Agriculture Handbook No. 537, 5
Arnoldus HMJ (1977) Methodology used to determine the maximum average soil loss due to sheet and rill erosion in Morocco. In: Soils bulletin FAO: assessing soil degradation, 34, 41
Gratton Y (2002) Le krigeage: la méthode optimale d’interpolation spatiale. In: Institut d’Analyse Géographique. Québec, Canada, 4
Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses, a guide to conservation planning. US Department of Agriculture, Agriculture Handbook No. 537, 12
McCool D, Brown L, Foster G, Mutchler C, Meyer L (1987) Revised slope steepness factor for the universal soil loss equation. Trans Am Soc Agric Eng 30:1395
Desmet P, Govers G (1996) A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units. J Soil Water Conserv 51:429
Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses, a guide to conservation planning. US Department of Agriculture, Agriculture Handbook No. 537, 10
El Garouani A, Chen H, Lewis L, Tribak A, Abahrour M (2009) Cartographie de l’utilisation du sol et de l’érosion nette à partir d’images satellitaires et du sig idrisi au nord-est du Maroc, 197
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Jaafari, Y., Benabdelhadi, M. (2020). Assessment of Rainfall Soil Loss in Allal El Fassi Watershed (Mean Atlas Morocco) Using RUSLE Method Combining to GIS and Remote Sensing. In: Jarar Oulidi, H., Fadil, A., Semane, N. (eds) Geospatial Technology. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-24974-8_7
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