Assessment of Water Erosion by Integrating RUSLE Model, GIS and Remote Sensing – Case of Tamdrost Watershed (Morocco)

• Autorzy: El Assaoui Naïma , Bouiss Charaf Eddine , Sadok Abdelaziz

Identyfikatory

DOI

10.12912/27197050/159530

• Języki publikacji: EN

Abstrakty

EN

Water erosion caused by rainfall and runoff, in the Morocco is the main threat of fertile agricultural soil losses causing important silting-up of dams. Most watersheds are characterized by excessive values of Soil Specific Degradation (Average annual soil loss per year and per km²), exceeding in many regions 2000 T/km² /year. The main objective of this study is to investigate this phenomenon in the Tamdrost watershed located in northwestern Morocco. The methodology is based on integrating water erosion RUSLE model to Geographic Information System and satellite image processing. The aim of the study is to develop digital mapping for the main factors involved in the erosion processes as well as the variation of the average annual quantity of soil losses. The results outcome are: (i) the average value of the specific degradation is about 80 (T/ha/year), reaching a maximum value of 800 T/ha/year and a minimum value of 3 T/ha/year; (ii) The main factors that control water erosion by order of importance are successively: R, LS, K, and C factors. Finally, different maps representing erosion and the main factors involved, are be very helpful for decision makers to better assess this phenomenon and to implement antierosion measures in the threatened areas to support and control the water erosion.

Słowa kluczowe

EN

RUSLE; watershed soil loss; thematic map; GIS; remote sensing; erosion yield

• Wydawca: Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology ; WNGB Wydawnictwo Naukowe
• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2023
• Tom: Vol. 24, iss. 3
• Strony: 43--53
• Opis fizyczny: Bibliogr. 36 poz., rys., tab.

Twórcy

autor

El Assaoui Naïma

• Water and Environmental Laboratory, Earth Sciences, Faculty of Sciences, Mohammed V University in Rabat, Morocco

• https://orcid.org/0000-0003-1811-6274

autor

Bouiss Charaf Eddine

• Water and Environmental Laboratory, Earth Sciences, Faculty of Sciences, Mohammed V University in Rabat, Morocco

• https://orcid.org/0000-0002-1754-7999

autor

Sadok Abdelaziz

• Department of Civil Engineering, Mohammedia School of Engineers Mohamed V University, Rabat, Morocco

• https://orcid.org/0000-0002-7102-702X

Bibliografia

• 1. Amellah, O., el Morabiti, K. 2021. Assessment of soil erosion risk severity using GIS, remote sensing and RUSLE model in Oued Laou Basin (north Morocco). Soil science annual, 72(3), 1–11.
• 2. Angima et al. 2003. Weesies Soil erosion prediction using RUSLE for central Kenyan highland conditions Agriculture, Ecosystems and Environment, 97(1–3), 290–292.
• 3. Aoufa, M., Baghdad, B., El Hadi, H., Chakiri, S., Hamoud, A., Zoraa, N., Moussa, K. 2022. Quantification and Evaluation of Water Erosion by RUSLE/GIS Approach in the Ykem Watershed (Western Morocco). Ecological Engineering & Environmental Technology, 23(5), 42–53.
• 4. ArcGIS, E.S.R.I. 2012. 10.1. Redlands, California: ESRI.
• 5. Arnoldus, H.M.J. 1980. An approximation of the rainfall factor in the Universal Soil Loss Equation, 127–132.
• 6. Arrebei, N., Sabir, M., Naimi, M., Chikhaoui, M., Raclot, D. 2020. Assessment of soil erosion with RUSLE 3D and USPED in the Nekor Watershed (Northern Morocco). Open Journal of Soil Science, 10(12), 631–642.
• 7. Aunis, D., Michard A. 1976. Eléments de géologie marocaine. Notes et Mém. Serv. Carte géol. Maroc, 252, 408 p. Sciences Géologiques, bulletins et mémoires, 29(4), 325–325.
• 8. Brahim, B., Meshram, S.G., Abdallah, D., Larbi, B., Drisss, S., Khalid, M., Khedher, K.M. 2020. Mapping of soil sensitivity to water erosion by RUSLE model: case of the Inaouene watershed (Northeast Morocco).Arabian Journal of Geosciences, 13(21), 1–15.
• 9. Bizuwerk, A., Taddese, G., Getahun, Y. 2003. Application of GIS for modeling soil loss rate in Awash River basin, Ethiopia. International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia, 1–11.
• 10.Bou-imajjane, L., Belfoul, M.A., Stokes, M., Elaloui, A., Labbaci, A., El Ayady, H., Ez-zaouy, Y. 2022. Adaptation of the revised universal soil loss equation (RUSLE) to soil loss modeling in a semi-arid watershed: a case study from western high atlas, Morocco. Modeling Earth Systems and Environment, 8(4), 4775–4792.
• 11. Boufala, M. H., El Hmaidf, A., Chadli, K., Essahlaoui, A., El Ouali, A., & Lahjouj, A. 2020. Assessment of the risk of soil erosion using RUSLE method and SWAT model at the M’dez Watershed, Middle Atlas, Morocco. In E3S web of conferences. EDP Sciences, 150, 03014.
• 12. Ed-Dakiri, S., Etebaai, I., El Moussaoui, S., Ikirri, M., Ait Haddou, M., Amarir, S.,... & Mourabit, T. 2022. Water Erosion Risks Mapping Using RUSLE Model in the Mohamed Ben Abdelkrim El Khattabi Dam Watershed (Central Coastal Rif, Morocco). In Soil-Water, Agriculture, and Climate Change Springer, Cham, 53–75.
• 13. El Aroussi, O., Mesrar, L., El Garouani, A., Lahrach, A., Beaabidaate, L., Akdi, B., Jabrane, R. 2011. Predicting the potential annual soil loss using the revised universal soil loss equation (RUSLE) in the oued El Malleh catchment (Prerif, Morocco). Present Environment and Sustainable Development, 5(2), 5–15.
• 14. El Assaoui, N. 2017. Contribution à l’étude méthodologique de l’impact des changements climatiques sur les ressources en eaux souterraines : cas de la nappe de Berrechid (Doctoral dissertation, Thèse de doctorat, Univ. Hassan II, Maroc).
• 15. Fick, S.E., Hijmans, R.J. 2017 WorldClim 2: New 1-km Spatial Resolution Climate Surfaces for Global Land Areas. International Journal of Climatology, 37, 4302–4315. https://doi.org/10.1002/joc.5086
• 16. Fournier, F. 1960. Climat et erosion p. 201. Paris: Presses universitaires de France.
• 17. Fournier, F. 1967. La recherche en érosion et conservation des sols sur le continent africain. Sols africains, 12(1), 5–53.
• 18. Heusch, B. 1970. L’érosion hydraulique au Maroc: Son calcul et son controle. Al Awamia, 36, 39–63.
• 19. Lahlou, A. 1994. Envasement des barrages au Maroc [Siltation of dams in Morocco]. Casablanca (Maroc). Wallada, 286.
• 20. Lahlou, A. 1996. Environmental and socio-economic impacts of erosion and sedimentation in North Africa. IAHS Publications-Series of Proceedings an Reports-Intern Assoc Hydrological Sciences, 236, 491–500.
• 21. Lamane, H., Moussadek, R., Baghdad, B., Mouhir, L., Briak, H., Laghlimi, M., Zouahri, A. 2022. Soil water erosion assessment in Morocco through modeling and fingerprinting applications: A review. Heliyon, e10209.
• 22. Cyr, L., Bonn, F., Pesant, A. 1995. Vegetation indices derived from remote sensing for an estimation of soil protection against water erosion, Ecological Modelling, 79(1–3), 277–285. https://doi.org/10.1016/0304–3800(94)00182-H
• 23. Lo, A., El-Swaify, S.A., Dangler, E.W., Shinshiro, L. 1985. Effectiveness of El30 as an erosivity index in Hawaii. In: S.A. El-Swaify, W.C. Moldenhauer and A. Lo (Editors), Soil Erosion and Conservation. Soil Conservation Society of America, Ankeny, 384–392.
• 24. McCool, D.K., Foster, G.R., Mutchler, C.K., Meyer, L.D. 1989 Revised Slope Length Factor the Universal Soil Loss Equation. Transactions of the American Society of Agricultural Engineers, 32, 1571–1576. http://dx.doi.org/10.13031/2013.31192
• 25. Moudden, F., El Hafyani, M., El Ouali, A., Roubil, A., El Ouali, A., Essahlaoui, A., Brouziyne, Y. 2022. Diachronic mapping and evaluation of soil erosion rates using RUSLE in the Bouregreg River Watershed, Morocco. Journal of Water and Land Development, 53.
• 26. Mrabet, R., Lahlou, S., Le Bissonnais, Y., Duval, O. 2004. Estimation de la stabilité structurale des sols semi-arides marocains: Influence des techniques culturales simplifiées. Bulletin du Réseau Erosion, 23(2), 405–415.
• 27. Rango, A., Arnoldus, H.M.J. 1987. Aménagement des bassins versants. Cahiers techniques de la FAO, 36.
• 28. Renard, K.G., Foster, G.R., Weesies, G.A., McCool, D.K., Yoder, D.C. 1996. Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). Agriculture handbook, 703.
• 29. Renard, K.G., Freimund, J.R. 1994. Using monthly precipitation data to estimate the R factor in the revised USLE. J Hydrol, 157, 287–306.
• 30. Renard, K.G., Foster, G.R. 1983. Soil conservation: principles of erosion by water. Dryland agriculture/editors, HE Dregne and WO Willis.
• 31. Sabir, M., Roose, E. 2004. Influences du couvert végétal et des sols sur le stock de carbone du sol et les risques d’érosion et de ruissellement dans les montagnes méditerranéennes du Rif Occidental (Maroc). Actes des JSIRAUF. In Bulletin réseau érosion, 23.
• 32. Sadok A., Kamal A., Modèles d’estimation de l’érosion hydrique des bassins versants : Etude comparative. Rapport interne de recherche, CRR E/E, LPEE, Casablanca, 1995.
• 33. Sharma A., Tiwari K.N., Bhadoria P.B.S. 2011. Effect of land use land cover change on soil erosion potential in an agricultural watershed. Environ Monit Assess, 173, 789–801.
• 34. Shin, G.J. 1999. The analysis of soil erosion analysis in watershed using GIS (Doctoral dissertation, Ph. D. Dissertation, Department of Civil Engineering, Gang-won National University.
• 35. Van der Knijff, J.M., Jones, R.J.A., Montanarella, L. 2000. Soil erosion risk assessment in Europe, EUR 19044 EN. Office for official publications of the European communities, Luxembourg, 34.
• 36. Wischmeier, W.H., Smith, D.D. 1978. Predicting rainfall erosion losses: a guide to conservation planning (No. 537). Department of Agriculture, Science and Education Administration, Washington, DC.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).