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Modeling the Hydrological Impacts of Vegetation Cover Changes in the Upper Oum Er-Rbia Watershed (Morocco)

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In Morocco, the mountainous areas are often exposed to bulky and vicious flows of water and sediment. This process is exacerbated by the decrease in vegetation cover and the disruption in rainfall-runoff conditions that frequently cause significant flooding. By exploring the main hydrologic elements of these processes, it is possible to understand the behavior and hydrological response of watersheds and thus plan accordingly. In this study, the authors focused on determining the morphometric characteristics of the upper Oum Er-Rbia River basin (UOERRB by assessing/ evaluating the land use and land cover changes for a period of 32 years (1984-2016). Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) was applied to simulate four daily hydrological events. The concentration time was 7.7 hours. The four storm events examined to calibrate and validate the simulated outflow at the outlet indicated a good agreement between the hydrographs of the measured and simulated flows, with an average Nash-Sutcliffe efficiency (NSE) value ranging from 0.63 to 0.76. Between 2002 and 2016, an average 6.21 percent increase in vegetation cover of with annual rainfall increasing from 690 to 714.1 mm/year was observed. These results can contribute to a better understanding of the hydrologic processes and better estimation of the return flows and thus guiding management decisions and developments in the UOERRB.
Rocznik
Strony
167--180
Opis fizyczny
Bibliogr. 25 poz., rys., tab.
Twórcy
  • Faculty of Sciences and Techniques, Sidi Mohamed Ben Abdellah University, Laboratory of Functional Ecology and Environmental, Route Imouzzer, Fez, Morocco
  • Faculty of Sciences and Techniques, Sidi Mohamed Ben Abdellah University, Laboratory of Functional Ecology and Environmental, Route Imouzzer, Fez, Morocco
  • Wageningen University and Research, Water Resources Management Group, Wageningen, Netherlands
Bibliografia
  • 1. Bouabdelli, M., Piqué, A., 1996. Du bassin sur décrochement au bassin d’avant-pays: dynamique du Bassin d’Azrou-Khénifra (Maroc hercynien central). Journal of African Earth Sciences, 23, 213–224.
  • 2. Carlson, T.N., and Arthur, S.T., 2000. The impact of land use land cover changes due to urbanization on surface microclimate and hydrology: a satellite perspective. Global and Planetary Change, 25, 49–65.
  • 3. Chaponnière, A., 2005. Fonctionnement hydrologique d’un bassin versant montagneux semiaride : cas du bassin versant du Rehraya (Haut Atlas marocain), thèse de doctorat, INA Paris-Grigon, (France), pp. 233.
  • 4. Dregne, H.E., 1991. Human activities and soil degradation. Semiarid Lands and Deserts: Soil Resource and Reclamation 19, 335.
  • 5. Driouech, F., 2010. Distribution des précipitations hivernales sur le Maroc dans le cadre d’un changement climatique : descente d’échelle et incertitudes, thèse de doctorat, GAME Toulouse, (France), pp.164.
  • 6. El Ghachi, M., Morchid, 2018. Analyse des tendances pluviométriques dans la ville de Khénifra dans un contexte de variabilité climatique (Rainfall trend analysis in Khenifra city in a context of climate variability). J. Water Environ. Sci. 2, 297–304.
  • 7. Ezeaku, P.I., Davidson, A., 2008. Analytical situations of land degradation and sustainable management strategies in Africa. Journal of Agriculture & Social Sciences, 4, 42–52.
  • 8. Feldman, A.D., 2000. HEC-HMS Technical Reference Manual; US Army corps of engineers R&D Woek Unit, Report, pp. 148.
  • 9. Gilmore, S., Saleem, A., Dewan, A., 2015. Effectiveness of DOS (Dark-Object Subtraction) method and water index techniques to map wetlands in a rapidly urbanising megacity with Landsat 8 data. Research@ Locate’15, 100–108.
  • 10. Hansen, M.C., Loveland, T.R., 2012. A review of large area monitoring of land cover change using Landsat data. Remote Sensing of Environment, Landsat Legacy Special Issue 122, 66–74.
  • 11. Kingumbi, A. 2006. Modélisation hydrologique d’un bassin versant affecté par des changements d’occupation. Cas du Merguellil en Tunisie centrale. Thèse de Doctorat de l’Ecole Nationale d’Ingénieurs de Tunis, Tunisie, pp. 199.
  • 12. Kosmas, C., Danalatos, N., Cammeraat, L.H., Chabart, M., Diamantopoulos, J., Farand, R., Gutierrez, L., Jacob, A., Marques, H., Martinez-Fernandez, J., 1997. The effect of land use on runoff and soil erosion rates under Mediterranean conditions. Catena, 29, 45–59.
  • 13. Kumar, S., Shwetank, Jain, K., 2020. A Multi-Temporal Landsat Data Analysis for Land-use/Landcover Change in Haridwar Region using Remote Sensing Techniques. Procedia Comput. Sci. 171, 1184–1193.
  • 14. Laborde, J.P., 2000. Eléments d’hydrologie de surface. Université de Nice-Sophia Antipolis. France, pp. 204.
  • 15. Loumagne, C., Michel, C., Normand, M., 1991. Etat hydrique du sol et prévision des débits. Journal of Hydrology, 123, 1–17.
  • 16. Marchandise, A. (2007). Modélisation hydrologique distribuée sur le Gardon d’Anduze ; étude comparative de différents modèles pluie-débit, extrapolation de la normale à l’extrême et tests d’hypothèses sur les processus hydrologiques. Thèse de Université de Montpellier II, Montpellier. pp. 214.
  • 17. McCuen, R.H., Knight, Z., Cutter, A.G., 2006. Evaluation of the Nash–Sutcliffe efficiency index. Journal of Hydrologic Engineering, 11, 597–602.
  • 18. Muthu, A.L., Santhi, M.H., 2015. Estimation of surface runoff potential using SCS-CN method integrated with GIS. Indian J. Sci. Technol., 8.
  • 19. Musy, A., and Higy, C., 1998. Hydrologie appliquée (Edition H*G*A). pp. 368.
  • 20. Obodai, J., Adjei, K.A., Odai, S.N., Lumor, M., 2019. Land use/land cover dynamics using Landsat data in a gold mining basin-the Ankobra, Ghana. Remote Sensing Applications: Society and Environment, 13, 247–256.
  • 21. Pachauri, R.K., Meyer, L., Plattner, G.-K., Stocker, T., others, 2015. IPCC, 2014: Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, pp. 151.
  • 22. Rey, F., Ballais, J.-L., Marre, A., Rovera, G., 2004. Rôle de la végétation dans la protection contre l’érosion hydrique de surface. Comptes rendus géoscience, 336, 991–998.
  • 23. Smits, A.J.M., Nienhuis, P.H., Leuven, R.S.E.W., 2000. New approaches to river management. Environmental Management and Health, 11, 474–475.
  • 24. Uwizeyimana, D., Mureithi, S.M., Mvuyekure, S.M., Karuku, G., Kironchi, G., 2019. Modelling surface runoff using the soil conservation servicecurve number method in a drought prone agroecological zone in Rwanda. International Soil and Water Conservation Research, 7, 9–17.
  • 25. Yjjou, M., Bouabid, R., El Hmaidi, A., Essahlaoui, A., El Abassi, M., 2014. Modélisation de l’érosion hydrique via les SIG et l’équation universelle des pertes en sol au niveau du bassin versant de l’Oum Er-Rbia. The International Journal of Engineering and Science, 3, 83–91.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-82305702-8438-4549-94d3-bb6cb5e053bb
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