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Water Erosion Mapping by RUSLE: A Geomatic Approach by GIS and Remote Sensing in the Oued Isser Watershed, Tlemcen, Algeria

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Prolonged water erosion leads to severe soil degradation, with highly visible scars. Consequently, the quantitative and descriptive estimation by mapping of the phenomenon has become the main objective of a great deal of research. It is this perspective that this study takes, based on the Revised Universal Soil Losses Equation (RUSLE) for a relatively accurate estimate, by integrating Arc GIS tools and remote sensing using high spatial resolution (10 m) image from the Sentinel 2A satellite. The model uses data on precipitation, soil, topography and vegetation cover management. The methodological approach taken implements this model in order to optimize its use by the various potential users in their planning and decision making studies. An application was carried out in the Oued Isser watershed (Tlemcen, Algeria). Soil loss maps were produced and the results indicate a high variation in soil losses in the study area and show that the highest values are concentrated on steep slopes, hence the great influence of the topographic parameter relative to other factors in the model.
Rocznik
Strony
89--104
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
autor
  • University of Saïda – Dr. Moulay Tahar, Water Resources and Environment Laboratory, Saida, Algeria
  • University of Saïda – Dr. Moulay Tahar, Modelling and Calculation Methods Laboratory, Saida, Algeria
  • Algerian Space Agency, Centre of Spatial Techniques, Earth Observation Department, Oran, Algeria
  • University of Saïda – Dr. Moulay Tahar, Water Resources and Environment Laboratory, Saida, Algeria
Bibliografia
  • [1] Boughalem M., Ienciu A.A., Toure A.O., Meghraoui M., Regagba M., Souidi Z., Hamimed A.: Study of water erosion risk in the region of Tlemcen, Algeria. Geo‑Eco‑Trop, no. 44, t. 4, 2020, pp. 595–607.
  • [2] Wischmeier W.H., Smith D.D.: Predicting Rainfall Erosion Losses: A Guide to Conservation Planning. Agriculture Handbook, no. 537, U.S. Department of Agriculture, Washington 1978.
  • [3] Renard K.G., Foster G.R., Weesies G.A., McCool D.K., Yoder D.C.: Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE). Agriculture Handbook, no. 703, United States Department of Agriculture, Agricultural‑Research Service, 1997.
  • [4] Ezzaouini M.A., Mahé G., Kacimi I., Zerouali A.: Comparison ofthe MUSLE Model and Two Years of Solid Transport Measurement, in the Bouregreg Basin, and Impact on the Sedimentation in the Sidi Mohamed Ben Abdellah Reservoir, Morocco. MDPI. Water, vol. 12, no. 7, 1882, 2020. https://doi.org/10.3390/w12071882.
  • [5] Mihi A., Benarfa N., Arar A.: Assessing and mapping water erosion‑prone areas in northeastern Algeria using analytic hierarchy process, USLE/RUSLE equation, GIS, and remote sensing. Applied Geomatics, vol. 12, no. 2, 2020, pp. 179–191. https://doi.org/10.1007/s12518-019-00289-0.
  • [6] Sahli Y., Mokhtari E., Merzouk B., Laignel B., Vial C., Madani K.: Mapping surface water erosion potential in the Soummam watershed in Northeast Algeria with RUSLE model. Journal of Mountain Science, vol. 16, no. 7, 2019, pp. 1606–1615. https://doi.org/10.1007/s11629-018-5325-3.
  • [7] El Hafid D., Akdim B.: Quantification de l’érosion hydrique en utilisant le modèle RUSLE et déposition intégrée dans un SIG – Cas du bassin versant del’oued Isly (Maroc Oriental). European Scientific Journal, vol. 14, no. 5, 2018, pp. 1857–7881. https://doi.org/10.19044/esj.2018.v14n5p373.
  • [8] Koussa M., Bouziane M.-T.: Contribution of GIS to the mapping of water‑erosion risk areas in the Beni Haroun watershed, Mila, Algeria. Geo‑Eco‑Trop, no. 42, t. 1, 2018, pp. 43–56.
  • [9] Kaci M., Habi M., Morsli B.: Application of universal soil loss equation (USLE) model to estimate water erosion by GIS system and remote sensing: Case of catchment area of Oued Rhiou (Watershed of Cheliff), Algeria. Geo‑Eco‑Trop, no. 41, t. 3, 2017, pp. 503–518.
  • [10] Tahiri M., Tabyaoui H., El Hammichi F., Achab M., Tahiri A., El Hadi H.: Quantification of water erosion and sedimentation using empirical models in the Tahaddart watershed (Northwestern Rif, Morocco). Bulletin de l’Institut Scientifique, Section Sciences de la Terre, no. 39, 2017, pp. 87–101.
  • [11] Khali A., Ben Hamman Lech‑Hab K., Raissouni A., El Arrim A.: Quantitative Mapping of Soil Erosion Risk Using GIS/USLE Approach at the Kalaya Watershed (North Western Morocco). Journal of Materials and Environmental Science, vol. 7, no. 8, 2016, pp. 2778–2795.
  • [12] Meliho M., Khattabi A., Mhammdi N., Zhang H.: Mapping of the water erosion risks of by the revised universal equation of soil losses, Remote sensing and GIS in the Ourika watershed (High Atlas, Morocco). European Scientific Journal, vol. 12, no. 32, 2016, pp. 277–297. https://doi.org/10.19044/esj.2016.v12n32p277.
  • [13] Toumi S., Maddi M., Mahé G., Télesphore Brou Y.: Cartographie de l’érosion dans le bassin versant de l’Oued Mina en Algérie par télédétection et SIG. Hydrological Sciences Journal, vol. 58, no. 7, 2013, pp. 1542–1558. https://doi.org/10.1080/02626667.2013.824088.
  • [14] Lu D., Li G., Valladares G.S., Batistella M.: Mapping soil erosion risk in Rondonia, brazilian Amazonia: Using RUSLE, Remote Sensing and GIS. Land Degradation & Development, vol. 15, no. 5, 2004, pp. 499–512. https://doi.org/10.1002/ldr.634.
  • [15] Tesfamichael S.G.: Mapping potential soil erosion using RUSLE, Remote Sensing, and GIS: The case study of Weenen Game Reserve, KwaZulu‑Natal. University of KwaZulu-Natal, Pietermaritzburg 2004 [M.Sc. thesis].
  • [16] Zhang H., Wei J., Yang Q., Baartman J.E.M., Gai L., Yang X., Li S., Yu J., Ritsema C.J., Geissen V.: An improved method for calculating slope length (λ) and the LS parameters. The Global Journal of Soil Science – Geoderma, vol. 308, 2017, pp. 36–45. https://doi.org/10.1016/j.geoderma.2017.08.006.
  • [17] Talbi O., Mendas A., Bensaid A., Trache M.A.: Mise en place d’un système pour le suivi de l’érosion hydrique et la détection des zones prioritaire d’intervention contre l’envasement des retenues – Application au bassin versant de l’Isser (Tlemcen). Secheresse, vol. 13, no. 3, 2002, pp. 175–179.
  • [18] Chebbani R.: Etude à différentes échelles des risques d’érosion dans le bassin versant de l’Isser (Tlemcen). École nationale supérieure d’agronomie d’Alger, Algérie, 1996 [M.Sc. thesis].
  • [19] Benchettouh A.: L’érosion hydrique dans les régions marneuses du Tell oranais cas des bassins versants de la Mina (Relizane) et Kramis (Mostaganem). Université Abdelhamid Ibn Badis, Mostaganem, Algérie, 2019 [Ph.D. thesis]. http://e-biblio.univ-mosta.dz/handle/123456789/11692.
  • [20] van der Knijff J.M., Jones R.J.A., Montanarella L.: Soil Erosion Risk Assessment in Europe. Scientific and Technical Reports, EUR 19044 EN, Space Application Institute, Ispra, Italy, 2000.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9c94de53-43a5-485c-ac84-5da066a631c6
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