Skip to main content
Log in

Contribution of Geomatics in the Quantification of Water Erosion: Application in the Oued Lakhdar (Morocco)

  • Research Article
  • Published:
Journal of the Indian Society of Remote Sensing Aims and scope Submit manuscript

Abstract

This study presents the results of mapping and quantitatively estimating water erosion in the Oued Lakhdar basin using the Universal Soil Loss Equation (USLE) integrated into a Geographic Information System (GIS). The Oued Lakhdar basin is situated in the central High Atlas region, covers an area of 1638 km2, and is subjected to conditions that accelerate water erosion, including rugged topography, intense precipitation in the mountains, and significant human intervention. The analysis of the USLE results identified four primary levels of erosion: high (15–21 ts/he/yr), medium (10–15 ts/he/yr), low (5–10 ts/he/yr), and very low (0–5 ts/he/yr). This study demonstrates that USLE is a suitable method for estimating soil loss in a basin. The results can contribute to land-use planning and the prevention of water erosion, which is crucial to maintaining the health of ecosystems and communities that rely on agricultural land. Additionally, the results can assist the watershed managers of the Regional Directorate of Water and Forests and the Fight against Desertification of Beni Mellal in reducing the rate of erosion in the Oued Lakhdar basin.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Data Availability

Available at http://asterweb.jpl.nasa.gov/gdem.asp (Topographic data, Soil data and Land cover data) and climatic data was obtained from the Hydraulic Basin Agency of Oum Er-Rbia: 05234–82355).

References

  • Almohamad, H. (2020). Impact of land cover change due to armed conflicts on soil erosion in the basin of the Northern Al-Kabeer river in Syria using the RUSLE model. Water, 12(12), 3323. https://doi.org/10.3390/w12123323

    Article  Google Scholar 

  • Anache, J. A. A., Bacchi, C. G. V., Panachuki, E., & Sobrinho, T. A. (2015). Assessment of methods for predicting soil erodibility in soil loss modeling. São Paulo, UNESP, Geociências, 34(1), 32–40.

    Google Scholar 

  • Arnoldus, H. M. J. (1977). Methodology used to determine the maximum potential range average annual soil loss to sheet and rill erosion in morocco. Assessing soil degradation. FAO Soils Bulletin (FAO), 34, 39–48.

    Google Scholar 

  • Ayalew, D. A., Deumlich, D., Šarapatka, B., & Doktor, D. (2020). Quantifying the sensitivity of NDVI-based C factor estimation and potential soil erosion prediction using spaceborne earth observation data. Remote Sensing, 12(7), 1136. https://doi.org/10.3390/rs12071136

    Article  Google Scholar 

  • Ben-Ali, D. (2000). Les sources documentaire et statistique se rapportant aux domaines des ressources naturelles et l’environnement au Maroc. In Femisenetwork (Ed.), Comptabilité de l’environnement dans le cadre d’une matrice des comptes sociaux: Le cas du Maroc. Euro-Mediterranean Forum Economic Institute.

    Google Scholar 

  • Benchettouh, A., Kouri, L., & Jebari, S. (2017). Spatial estimation of soil erosion risk using RUSLE/GIS techniques and practices conservation suggested for reducing soil erosion in Wadi Mina watershed (northwest, Algeria). Arabian Journal of Geosciences. https://doi.org/10.1007/s12517-017-2875-6

    Article  Google Scholar 

  • Carvalho, D. F., Durigon, V. L., Antunes, M. A., Almeida, W. S., & Oliveira, P. T. (2014). Predicting soil erosion using RUSLE and NDVI time series from TM Landsat 5. Pesquisa Agropecuaria Brasileira, 49(3), 215–224. https://doi.org/10.1590/S0100-204X2014000300008

    Article  Google Scholar 

  • Colman, C. B. (2018). Impacts of climate and land use changes on soil erosion in the Upper Paraguay Basin. Federal University of Mato Grosso do Sul.

    Google Scholar 

  • De Jong, S. M. (1994). Applications of reflective remote sensing for land degradation studies in a Mediterranean environment (p. 177). Nederlandse geografische studies.

    Google Scholar 

  • Driss, E. H., & Brahim, A. (2018). Quantification de l’érosion hydrique en utilisant le modeler usle et deposition integree dans un SIG. Cas Du Bassin De L’oued Isly (Maroc Oriental). European Scientific Journal, 14, 373. https://doi.org/10.19044/esj.2018.v14n5p373

    Article  Google Scholar 

  • Durigon, V. L., Carvalho, D. F., Antunes, M. A. H., Oliveira, P. T. S., & Fernandes, M. M. (2014). NDVI time series for monitoring RUSLE cover management factor in a tropical watershed. International Journal of Remote Sensing, 35(2), 441–453. https://doi.org/10.1080/01431161.2013.871081

    Article  Google Scholar 

  • El Jazouli, A., Barakat, A., Ghafiri, A., El Moutaki, S., Ettaqy, A., & Khellouk, R. (2017). Soil erosion modeled with USLE, GIS, and remote sensing: A case study of Ikkour watershed in Middle Atlas (Morocco). Geoscience Letters. https://doi.org/10.1186/s40562-017-0091-6

    Article  Google Scholar 

  • Elaloui, A. (2017). Évaluation de la vulnérabilité à l’érosion hydrique des sols dans le bassin versant de la Tessaoute amont (Haut Atlas marocain): Application de la géomatique et des traceurs isotopiques, thèse doctorale, Faculté des Sciences Ben M’sik, Casablanca, Maroc, p. 130

  • Elaloui, A., Khalki, E. M. E., Namous, M., Ziadi, K., Eloudi, H., Faouzi, E., Bou-Imajjane, L., Karroum, M., Tramblay, Y., Boudhar, A., & Chehbouni, A. (2023). Soil erosion under future climate change scenarios in a semi-arid region. Water, 15, 146. https://doi.org/10.3390/w15010146

    Article  Google Scholar 

  • FAO (Food and Agriculture Organisation). (1990). Conservation des sols et des eaux dans les zones semi-arides (Vol. 57, p. 182). Bulletin pédologique.

    Google Scholar 

  • Fartas, N., El Fellah, B., Mastere, M., Benzougagh, B., & El Brahimi, M. (2021). Evaluation of water erosion by mapping and application of the PAP/RAC method in the Prerif of Ouazzane. Ecology, Environnement and Conservation, 27(November Suppl. Issue), S339–S350.

    Google Scholar 

  • Fournier, F. (1967). La recherche en érosion et conservation des sols sur le continent africain. Sols Africains, 12, 5–53.

    Google Scholar 

  • El Ghachi, M. (2007). La seille: Un système fluvial anthropisé (Lorraine, France). Thèse de doctorat, Metz: 62–75 p.

  • Günek, H. (2018). CBS ve Uzaktan Algılama ile RUSLE Toprak Erozyon Modeli: Bir Örnek Uluova ve Çevresi, International Geography Symposium on the 30th Anniversary of TUCAUM, 3–6 Ekim, Ankara.

  • Hui, L., Xiaoling, C., Lim, K. J., Xiaobin, C., & Sagong, M. (2010). Assessment of soil erosion and sediment yield in Liao watershed, Jiangxi Province, China, Using USLE, GIS, and RS. Journal of Earth Science, 21, 941–953. https://doi.org/10.1007/s12583-010-0147-4

    Article  Google Scholar 

  • Irvem, A., Topaloğlu, F., & Uygur, V. (2007). Estimating spatial distribution of soil loss over Seyhan River Basin in Turkey. Journal of Hydrology, 336(1–2), 30–37. https://doi.org/10.1016/j.jhydrol.2006.12.009

    Article  Google Scholar 

  • Kateb, Z., Bouchelkia, H., Benmansour, A., & Belarbi, F. (2019). Hydrological modelling using the SWAT model based on two types of data from the watershed of Beni Haroun dam, Algeria. Journal of Water and Land Development., 43(X–XII), 76–89. https://doi.org/10.2478/jwld-2019-0065

    Article  Google Scholar 

  • Kouli, M., Soupios, P., & Vallianatos, F. (2009). Soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) in a GIS framework, Chania, Northwestern Crete, Greece. Environmental Geology, 57, 483–497. https://doi.org/10.1007/s00254-008-1318-9

    Article  Google Scholar 

  • Koussa, M., & Bouziane, M. T. (2019). Estimation des paramètres de l’érosion hydrique par Approche SIG/USLE: Cas du bassin versant de l’Oued Arab (région de Khenchela, Nord-Est de l’Algérie). Agriculture and Forestry Journal, 3(1), 36–45. https://doi.org/10.5281/zenodo.3239252

    Article  Google Scholar 

  • Layati, E., & El Ghachi, M. (2023). La sécheresse météorologique dans le bassin versant de l’Oued Lakhdar durant la période 1984–2021: identification et caractérisation (Maroc). In Climat, eau et société : changements et défis, 36ème Colloque de l’Association Internationale de Climatologie (AIC), pp. 184–187.

  • Layati, E., & El Ghachi, M. (2022). Quantitative analysis of the morphometric parameters of the Oued Lakhdar watershed (Morocco): Statistical and GIS approaches. Sciendo, Association Marocaine pour les Sciences Appliquées & l’Innovation: https://doi.org/10.2478/9788367405270-007

    Article  Google Scholar 

  • Layati, E., Qadem, A., & El Ghachi, M. (2021). Characterization and quantification of meteorological drought in the Oued El-Abid Watershed, Central High Atlas, Morocco (1980–2019). Hydrospatial Analysis, 5(2), 45–55. https://doi.org/10.21523/gcj3.2021050201

    Article  Google Scholar 

  • Marondedze, A. K., & Schütt, B. (2020). Assessment of soil erosion using the RUSLE Model for the Epworth district of the Harare Metropolitan Province, Zimbabwe. Sustainability, 12, 8531. https://doi.org/10.3390/su12208531

    Article  Google Scholar 

  • Ouadja, A., Benfetta, H., & Porto, P. (2021). Mapping potential soil erosion using RUSLE, Remote Sensing, and GIS: A case study in the watershed of Oued El Ardjem. Northwest Algeria. Arab J Geosci, 14, 1945. https://doi.org/10.1007/s12517-021-07992-6

    Article  Google Scholar 

  • El Oudi, H., & Reddad, H. (2018). Évaluation qualitative et quantitative de la vulnérabilité à l’érosion hydrique dans le bassin versant de l’oued Lakhdar en amont du barrage Sidi Driss (Haut Atlas central): Application de la géomatique et des méthodes du traçage sédimentaire (Fingerprinting), master, université Sulatn Moulay Slimane, Béni Mellal, Maroc, p. 113.

  • Panagos, P., Borrelli, P., & Meusburger, K. A. (2015). A new European slope length and steepness Factor (LS-Factor) for modeling soil erosion by water. Geosciences, 5, 117–126.

    Article  Google Scholar 

  • Payet, E., Dumas, P., & Pennober, G. (2012). Modélisation de l’érosion hydrique des sols sur un bassin versant du sud-ouest de Madagascar, le Fiherenana. VertigO - la revue électronique en sciences de l’environnement. https://doi.org/10.4000/vertigo.12591

    Article  Google Scholar 

  • Plangoen, P., Babel, M. S., Clemente, R. S., Shrestha, S., & Tripathi, N. K. (2013). Simulating the impact of future land use and climate change on soil erosion and deposition in the Mae Nam Nan sub-catchment, Thailand. Sustainability, 5, 3244–3274.

    Article  Google Scholar 

  • Quintero, A. F. C., Salazar, L. A. L. S., & Orlando, R. M. O. R. (2017). Determination of the risk to the potential erosion by water in the coffee zone of the Quindio, Colombia. Revista de Investigación Agraria y Ambiental, 8(1), 2145–6097. https://doi.org/10.22490/21456453.1828

    Article  Google Scholar 

  • Rango, A., & Arnoldus, H.M.J. (1987). Aménagement des bassins versants. In Cahiers techniques de la FAO, pp. 1–11.

  • Remini, W., & Remini, B. (2003). La sédimentation dans les barrages de l'Afrique du nord. Éditeur: Larhyss Journal, Algérie, pp. 45–54.

  • Roose, E. (1993). Erosion: A current environmental problem. The GCES, a new strategy for fighting erosion to resolve this dilemnia of a growing society. In S. Wicherek (Ed.), Farm and land erosion: In temperate plains environment and hills (pp. 571–585). Elsevier Science Publisher.

    Chapter  Google Scholar 

  • Sabir, M. (2015b). Quelques techniques traditionnelles de gestion de l’eau et de lutte antiérosive dans le bassin versant de Sidi Driss, Haut Atlas Central, MAROC.

  • Sabir, M. (2015a). Elaboration des cartes des zones à risque d’érosion au niveau du bassin versant Oued Lakhdar en amont du barrage Hassan 1er, Projet ACCN, GIZ and HCEFLCD.

  • Sabri, E., Boukdir, A., El Meslouhi, R., Mabrouki, M., El Mahboul, A., & Zitouni, A. (2017). Predicting soil erosion and sediment yield in Oued El Abid watershed. Morocco. Athens Journal of Sciences, 4(3), 225–243.

    Article  Google Scholar 

  • Spaeth, J. R. K. E., Pierson, J. R. F. B., Weltz, M. A., & Blackburn, W. H. (2003). Evaluation of USLE and RUSLE estimated soil loss on rangeland. Journal of Range Management, 56(3), 234–246. https://doi.org/10.2307/4003812

    Article  Google Scholar 

  • Teshome, Y. (2022). Assessment of soil erosion hazard and factors affecting farmers’ adoption of soil and water management measure: A case study from Upper Domba Watershed, Southern Ethiopia. Heliyon. https://doi.org/10.1016/j.heliyon.2022.e09536

    Article  Google Scholar 

  • Van der Knijff, J., Jones, R., & Montanarella, L. (1999). Soil erosion risk assessment in Italy. European Soil Bureau, European Commission.

    Google Scholar 

  • Williams, J. R. (1995). The EPIC model. In V. P. Singh (Ed.), Computer models of watershed hydrology (pp. 909–1000). Water Resources Publications.

    Google Scholar 

  • Wischmeier, W.H., & Smith, D.D. (1978). Predicting rainfall erosion losses. A guide to conservation planning. The USDA Agricultural Handbook No. 537, Maryland.

Download references

Acknowledgements

The authors would like to thank the management services of the Hydraulic Basin Agency of Oum-er-Rbia for providing the climate data used in this paper and also extend our warmest thanks to the USGS for having Landsat data available for public use via (https :// Earth exploits rer.usgs.gov/).

Funding

Authors state no funding involved.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elhoucein Layati.

Ethics declarations

Conflict of interest

The authors declare that there are no conflicts of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Layati, E., El Ghachi, M. Contribution of Geomatics in the Quantification of Water Erosion: Application in the Oued Lakhdar (Morocco). J Indian Soc Remote Sens 52, 1315–1327 (2024). https://doi.org/10.1007/s12524-024-01880-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12524-024-01880-8

Keywords

Navigation