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Temporal Analysis of Erosion Risk Classes and Rates in the Wadi Ouergha Watershed, Northern Morocco

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EN
Abstrakty
EN
The significance of the issue lies in the pivotal role played by Wadi Ouergha, as a major tributary of Wadi Sebou. This watercourse directly contributes to the El Wahda dam, the largest in the Kingdom of Morocco and the second largest in Africa. With its substantial storage capacity and noteworthy annual sedimentation volume, this dam’s storage capacity is notably impacted. The ongoing decline in the capacity of the El Wahda dam could potentially accelerate due to shifts in surface water mobilization rates and the worsening degradation of marl soils within the catchment, coupled with alterations in vegetation cover. The aim of this study is to examine the changes in the erosion rate within the Wadi Ouergha watershed over a span of 40 years, covering the periods 1980–2000 and 2001–2020. This comparative analysis aims to ascertain whether erosion control measures have effectively reduced the erosion rate in the region over time. To assess soil losses occurring in the Wadi Ouergha watershed, impacting the El Wahda dam, we employed the RUSLE model to determine the rate and vulnerability of the catchment to water erosion. The results indicate that erosion control measures have been effective in combating soil erosion in the potential region with high erosion risk, with a 13.83% reduction in the average erosion rate between the two periods, from 25.3 to 21.8 (tons/hectare/year). This study presents a groundbreaking contribution by unveiling, for the first time, the dynamic evolution of water erosion patterns over time. It offers a comprehensive assessment of the effectiveness of erosion control measures implemented within the most vulnerable zones.
Twórcy
autor
  • Geosciences Laboratory, Department of Geology, Faculty of Sciences, Ibn Tofaïl University, BP 133, Kénitra 14000, Morocco
autor
  • Geosciences Laboratory, Department of Geology, Faculty of Sciences, Ibn Tofaïl University, BP 133, Kénitra 14000, Morocco
  • Department of Natural Resources and Environment, Hassan II Agronomy and Veterinary Institute, Rue Allal Al Fassi Madinate Al Irfane 1010, Rabat, Morocco
  • Geosciences Laboratory, Department of Geology, Faculty of Sciences, Ibn Tofaïl University, BP 133, Kénitra 14000, Morocco
  • Geosciences Laboratory, Department of Geology, Faculty of Sciences, Ibn Tofaïl University, BP 133, Kénitra 14000, Morocco
  • Geosciences Laboratory, Department of Geology, Faculty of Sciences, Ibn Tofaïl University, BP 133, Kénitra 14000, Morocco
  • Geosciences Laboratory, Department of Geology, Faculty of Sciences, Ibn Tofaïl University, BP 133, Kénitra 14000, Morocco
autor
  • Geosciences Laboratory, Department of Geology, Faculty of Sciences, Ibn Tofaïl University, BP 133, Kénitra 14000, Morocco
Bibliografia
  • 1. Fowler A.F, Boll J., King A.B. 2022. Evaluating soil conservation effectiveness; an investigating of spatial targeting, conservation adoption and financial incentives. American Water Resources Association, 58(6), 1341–1357.
  • 2. Maaliou A., Mouzai L., Bouhadef M. 2014. Evaluation et cartographie de l’indice d’érosivité de pluie ‘R’ de deux grands bassins versants en Algérie (côtier et algérois et Isser). Hydrologie, Algérie Équipements, 53, 28–37.
  • 3. Al Karkouri J. 2003. Dégradation du milieu naturel dans le bassin de Beni Boufrah (Rif central – Maroc) ; Analyse des facteurs et des processus, essai de quantification et modélisation spatiale. Ph.D. Thesis, Mohammed V university, Rabat.
  • 4. 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, 34, 39–48.
  • 5. Arnoldus H.M.J. 1980. An approximative of the rainfall factor in the universal soil loss equation. Assessment of erosion, John Wiley and Sons, New York, 127–132.
  • 6. Bardouz A., Boumeaza T. 2016. Etude d’envasement du barrage Al Wahda (nord-ouest du maroc) à l’aide du SIG et technique de télédétection. The 3rd Edition of the international GIS users conference, 180–185.
  • 7. Benzougagh B., Sarita G. M., Dridri A., Boudad L., Sadkaoui D., Mimich K., 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, 1153(2020), 9.
  • 8. Borrelli P., Robinson D.A., et al. 2017. An assessment of the global impact of 21st century land use change on soil erosion. Nature Communications, 8(2013), 1–13.
  • 9. Boukrim S., Lahrach A., Sadkaoui N., Chaouni A. 2011. Impact des changements climatiques sur l’hydrologie du bassin versant de l’Ouergha (Rif, Maroc). The 6th Edition of the Scientific Days of 2iE, 1–3.
  • 10. Montgomery D.R., Dietrich W.E. 1994. A physically based model for the topographic control on shallow land sliding. Water Resources Research, 30(4), 1153–1171.
  • 11. Pruski F.F., Nearing M.A. 2002. Climate induced changes in erosion during the 21st century for eight U.S. locations. Water Resources Research, 38(12), 1–34.
  • 12. Franke R., Nielson G. 1980. Smooth interpolation of large sets of scattered data. International Journal for Numerical Methods in Engineering, 15(11), 1961–1704.
  • 13. Garcia-Orenes F., Guerrero C., Roldan A., Mataix-Solera J., Cerda A., Campoy M., Zornoza R., Barcenas G., Caravaca F. 2010. Soil microbial biomass and activity under different agricultural management systems in a semiarid Mediterranean agroecosystem. Soil and Tillage Research, 109(2), 110–115.
  • 14. Garcia-Orenes F., Roldan A., Mataix-Solera J., Cerda A., Campoy M., Arcenegui V., Caravaca F. 2009. Soil structural stability and erosion rates influenced by agricultural management practices in a semi-arid Mediterranean agroecosystem. Soil Use and Management, 28(4), 571–579.
  • 15. Gourfi A., Daoudi L., Zhou S. 2018. The assessment of soil erosion risk, sediment yield and their controlling factors on a large scale; Example of Morocco. Journal of African Earth Sciences, 147, 281–299.
  • 16.Jaouda I., Akhssas A., Ouadif L., Bahi L. 2018. Cartography of the vulnerability to erosion by the combination of satellite images and GIS of Ouergha Watershed (Morocco). ARPN Journal of Engineering and Applied Sciences, 13(11), 3673–3685.
  • 17. Wu L., Liu X., Chen J., Li J., Yu Y., Ma X. 2022. Efficiency assessment of best management practices in sediment reduction by investigation cost-effective tradeoffs. Agricultural Water Management, 265(107546).
  • 18. Maurer G. 1959. Les pays rifains et prérifains. L’information géographique, 23(4), 164–171.
  • 19. Mccool D. K., Foster G.R., Mutchler C.K., Meyer L.D. 1989. Revised slope lengths factor for the universal soil loss equation. Transactions of American Society of Agricultural Engineers, 32, 1571–1576.
  • 20. Moore I.D., Bruch G.J. 1986. Modeling erosion and deposition; topographic effects. Transactions of American Society of Agricultural Engineers, 29, 1624–1630.
  • 21. Moore I.D., Bruch G.J. 1986. Physical basis of length slope factor in the universal soil loss equation. Soil Society of America, 50, 1294–1298.
  • 22. Taia S, Erraioui L., Mbrenga N.C., Chao J., El Mansouri B., Haida S., Taj-Eddin K. 2021. Assessment of soil erosion using two spatial approaches; RUSLE and SWAT model. E3S Web of Conferences, 234, 00082(2021).
  • 23. Wischmeier W.H., Smith D.D. 1978. Predicting rainfall erosion losses; A guide to conservation planning. The USDA Agricultural Handbook No. 537, Maryland.
  • 24. Li Y., Yu H. Q., Geng X.C., Nguyen M.L. Funk R. 2011. Assessment of effectiveness of soil conservation measures in reducing soil erosion and improving soil quality in China using fallout radionuclide techniques. Impact of soil conservation measures on erosion control and soil quality IAEA-TECDOC-1665, 207–224.
  • 25. Zhang Z., Sheng L., Yang J., Chen X., Kong L., Wagan B. 2015. Effects of land use and slope gradient on soil erosion in a red soil hilly watershed of southern China. Sustainability, 7(10), 14309–14325.
  • 26. Renard K. G., Foster G. R. 1983. Soil conservation; principals of erosion by water. Dryland agriculture – Agronomy monograph, 23, 155–176.
  • 27. Setianto A., Triandini T. 2013. Comparison of Kriging and Inverse Distance Weighted (IDW) interpolation methods in lineament extraction and analysis. Journal Applied Geology, 5(1), 21–29.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-22b9f2a2-5ffd-4ed3-b0a3-9981caee8e1e
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