Mapping erosion prone areas in the Bouhamdane watershed (Algeria) using the Revised Universal Soil Loss Equation through GIS

• Autorzy: Bouguerra H. , Bouanani A. , Khanchoul K. , Derdous O. , Tachi S. E.

Identyfikatory

DOI

10.1515/jwld-2017-0002

Warianty tytułu

PL

Mapowanie obszarów wrażliwych na erozję w zlewni Bouhamdane w Algierii z użyciem równania strat glebowych RUSLE oraz GIS

• Języki publikacji: EN

Abstrakty

EN

Soil erosion by water is a major problem that the Northern part of Algeria witnesses nowadays; it reduces: the productivity of agricultural areas due to the loss of lands, and leads to the loss of storage capacity in reservoirs, the deterioration of water quality etc. The aim of this study is to evaluate the soil losses due to water erosion, and to identify the sectors which are potentially sensitive to water erosion in the Bouhamdane watershed, that is located in the northeastern part of Algeria. To this end, the Revised Universal Soil Loss Equation (RUSLE) was used. The application of this equation takes into account five parameters, namely the rainfall erosivity, topography, soil erodibility, vegetative cover and erosion control practices. The product of these parameters under GIS using the RUSLE mathematical equation has enabled evaluating an annual average erosion rate for the Bouhamdane watershed of 11.18 t∙ha^–1∙y^–1. Based on the estimates of soil loss in each grid cell, a soil erosion risk map with five risk classes was elaborated. The spatial distribution of risk classes was 16% very low, 41% low, 28% moderate, 12% high and 3% very high. Most areas showing high and very high erosion risk occurred in the lower Bouhamdane watershed around Hammam Debagh dam. These areas require adequate erosion control practices to be implemented on a priority basis in order to conserve soil resources and reduce siltation in the reservoir.

PL

Erozja wodna gleb jest głównym problemem, którego obecnie doświadcza północna Algieria. Z powodu strat gleby w wyniku erozji zmniejsza się produktywność obszarów rolniczych. Erozja gleb prowadzi również do zmniejszenia pojemności retencyjnej zbiorników wodnych, pogorszenia jakości wody itp. Celem przedstawionych badań była ocena strat gleby spowodowanych erozją i identyfikacja obszarów potencjalnie zagrożonych erozją w zlewni Bouhamdane zlokalizowanej w północno-wschodniej Algierii. W tym celu wykorzystano równanie strat gleby RUSLE. W równaniu wykorzystuje się pięć parametrów: erozję spowodowaną opadami, topografię, erozyjność gleb, pokrywę roślinną i działania zapobiegające erozji. Na podstawie wyników obliczeń za pomocą tego równania i z wykorzystaniem GIS oszacowano średnią roczną wielkość erozji w zlewni Bouhamdane na poziomie 11,18 t∙ha^–1∙y^–1. W każdej jednostce sieci pomiarowej sporządzono mapę ryzyka erozji, stosując pięć klas ryzyka, 16% ziem mieściło się w klasie bardzo niskiego ryzyka, 41% w klasie niskiego, 28% w klasie umiarkowanego, 12% w klasie wysokiego i 3% w klasie bardzo wysokiego ryzyka. Większość obszaru mieszczącego się w klasach wysokiego i bardzo wysokiego ryzyka to dolne partie zlewni Bouhamdane w okolicach zapory Hammam Debagh. Te obszary wymagają priorytetowego wdrożenia działań zapobiegających erozji w celu zachowania zasobów glebowych i zmniejszenia zamulania zbiornika.

Słowa kluczowe

EN

Algeria; Bouhamdane Watershed; GIS; Reservoir of Hammam Debagh; RUSLE; siltation; soil erosion

PL

Algieria; erozja gleb; GIS; RUSLE; zamulanie; zbiornik Hammam Debagh; zlewnia Bouhamdane

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2017
• Tom: no. 32
• Strony: 13--23
• Opis fizyczny: Bibliogr. 36 poz., rys., tab.

Twórcy

autor

Bouguerra H.

• University Abou Bakr Belkaid, Faculty of Technology, Department of Hydraulic, Laboratory No 25, BP 119 Tlemcen, 13000, Algeria

autor

Bouanani A.

• University Abou Bakr Belkaid, Faculty of Technology, Department of Hydraulic, Laboratory No 25, BP 119 Tlemcen, 13000, Algeria

autor

Khanchoul K.

• University Badji Mokhtar, Faculty of Earth Sciences, Department of Geology, BP 12 Annaba, 23000, Algeria

autor

Derdous O.

• University Kasdi Merbah, Faculty of Applied Sciences, Department of civil engineering and hydraulic, Route Ghardaïa, BP 511, Ouargla, 30000, Algeria

autor

Tachi S. E.

• University Hassiba Ben Bouali Chlef, Laboratory of Water and Energy, Hay Salem National road Nr 19, Chlef 02000, Algeria

Bibliografia

• ADEDIJI A., TUKUR A.M., ADEPOJU K.A. 2010. Assessment of Revised Universal Soil Loss Equation (RUSLE) in Katsina Area, Katsina State of Nigeria using Remote Sensing (RS) and Geographic Information System (GIS). Iranica Journal of Energy and Environment. Vol. 1. Iss. 3 p. 255–264.
• ANGIMA S.D., STOTT D.E., O’NEILI M.K., ONG C.K., WEESIES G.A. 2003. Soil erosion prediction using RUSLE for central Kenyan highland conditions. Agriculture, Ecosystems and Environment. Vol. 97. Iss. 1 p. 295–308.
• ANYS H. 1991. Utilisation des données de télédétection dans un système d'information géographique pour l'étude de l'érosion hydrique du bassin versant de l'Oued Aricha (Settat – Maroc) [Use of remote sensing data in a geographic information system for the study of water erosion of the watershed of Aricha river (Settat – Maroc)]. Mémoire de Maîtrise, Département de géographie et télédétection. Université de Sherbrooke, Québec, Canada pp. 83.
• ANYS H., BONN F., MERZOUK A. 1994. Remote sensing and GIS based mapping and modeling of water erosion and sediment yield in a semi-arid watershed of Morocco. Geocarto International. Vol. 9. Iss. 1 p. 31–40.
• BABATUNDE J.F., ADELEYE Y.B.A., CHRIS O., OLABANJI O.A., ADEGOKE I.A. 2016. GIS-based estimation of soil erosion rates and identification of critical areas in Anambra sub-basin, Nigeria. Modeling Earth Systems and Environment. Vol. 2. Iss. 3 p. 159.
• BENBRAHIM K.F., ISMAILI M., BENBRAHIM S.F., TRIBAK A. 2004. Problèmes de dégradation de l’environnement par la désertification et la déforestation: impact du phénomène au Maroc [Environmental degradation problems of desertification and deforestation: the impact of the phenomenon in Morocco]. Science et changements planétaires/Sécheresse. Vol. 15. Iss. 4 p. 307–320.
• BENKADJA R., BOUSSAG F., BENKADJA A. 2015. Identification et évaluation du risqué d’érosion sur le bassin versant du K’sob (Est Algérien) [Identification and assessment of the risk of erosion on the watershed K'sob (eastern Algeria)]. Bulletin of Engineering Geology and the Environment. Vol. 74. Iss. 1 p. 91–102.
• BOLLINNE A., ROSSEAU P. 1978. Erodibilité des sols de moyenne et haute Belgique, utilisation d’une méthode de calcul du facteur K de l’équation universelle de perte en terre [The soil erodibility of the medium and high Belgium, using a method of calculating the K factor of the universal soil loss equation]. Bulletin Société Belge d’Etudes Géographiques. Vol. 14. Iss. 4 p. 127–140.
• BONN F. 1998. La spatialisation des modèles d'érosion des sols à l'aide de la télédétection et des SIG: possibilités, erreurs et limites [The spatial distribution of soil erosion models using remote sensing and GIS: possibilities and limits errors]. Science et changements planétaires/Sécheresse. Vol. 9. Iss. 3 p. 185–192.
• CHEN H., EL GAROUANI A., LEWIS L.A. 2008. Modelling soil erosion and deposition within a Mediterranean mountainous environment utilizing remote sensing and GIS – Wadi Tlata, Morocco. Geographica Helvetica. Vol. 63. Iss. 1 p. 36–47.
• CORMARY Y., MASSON J. 1964. Etude de conservation des eaux et du sol au centre de recherches du génie rural de Tunisie, application à un projet type de la formule de perte de sols de Wischmeier [Water and soil conservation research of rural engineering research center of Tunisia, an application of the Wischmeier soil loss formula]. Cahiers ORSTOM, série pédologie. Vol. 2. Iss. 3 p. 3–26.
• DEMMAK A. 1982. Contribution à l’étude de l’érosion et des transports solides en Algérie septentrionale [Contribution to the study of erosion and sediment transport in northern Algeria]. Doctoral thesis. Paris. Université Pierre et Marie Curie – France pp. 323.
• DESMET P.J.J., GOVERS G. 1996. A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units. Journal of Soil and Water Conservation. Vol. 51. Iss. 5 p. 427–433.
• FAGBOHUN B.J., ANIFOWOSE A.Y.B., ODEYEMI C., ALADEJANA O.O., ALADEBOYEJE A.I. 2016. GIS-based estimation of soil erosion rates and identification of critical areas in Anambra sub-basin, Nigeria. Modeling Earth Systems and Environment. Vol. 2. Iss. 3. 159 p. 1–10.
• FOSTER G.R., MCCOOL D.K., RENARD K.G., MOLDENHANER W.C. 1981. Conversion of the universal soil loss equation to SI metric units. Journal of Soil and Water Conservation. Vol. 36. Iss. 6 p. 355–359.
• HEUSCH B. 1971. Estimation et contrôle de l'érosion hydrique [Estimation and control of water erosion]. Société des sciences naturelles et physiques du Maroc. Vol. 37 p. 41–54.
• HICKEY R. 2000. Slope angle and slope length solutions for GIS. Cartography. Vol. 29. Iss. 1 p. 1–8.
• KANCHOUL K., ALTSCHUL R., ASSASSI F. 2009. Estimating suspended sediment yield, sedimentation controls and impacts in the Mellah Catchment of Northern Algeria. Arabian Journal of Geosciences. Vol. 2. Iss. 3 p. 257–271.
• LIGONJA P.J., SHRESTHA R.P. 2013. Soil erosion assessment in Kondoa eroded area in Tanzania using Universal Soil Loss Equation, Geographic Information Systems and socioeconomic approach. Land Degradation and Development. Vol. 26. Iss. 4 p. 367–379.
• MATI B.M., VEIHE A. 2001. Application of the USLE in a savannah environment: comparative experiences from east and west Africa. Singapore Journal of Tropical Geography. Vol. 22. Iss. 2 p. 138–155.
• MCCOOL D.K., FOSTER G.R., MUTCHLER C.K., MEYER L.D. 1989. Revised slope length factor for the Universal Soil Loss Equation. Transactions of the ASAE. Vol. 32. Iss. 5 p. 1571–1576.
• MEDDI M., TOUMI S., ASSANI A.A. 2016. Spatial and temporal variability of the rainfall erosivity factor in Northern Algeria. Arabian Journal of Geosciences. Vol. 9. Iss. 4 p. 1–13.
• MITASOVA H., HOFIERKA J., ZLOCHA M., IVERSON L.R. 1996. Modeling topographic potential for erosion and deposition using GIS. International Journal of Geographical Information Systems. Vol. 10. Iss. 5 p. 629–641.
• MOORE I.D., BURCH G.J. 1986. Physical basis of the lengthslope factor in the Universal Soil Loss Equation. Soil Sciences Society America Journal. Vol. 50. Iss. 5 p. 1294–1298.
• MOORE I.D., WILSON J.P. 1992. Length-slope factors for the Revised Universal Soil Loss Equation: Simplified method of estimation. Journal of Soils and Water Conservation. Vol. 47. Iss. 5 p. 423–428.
• NETELER M., MITASOVA H. 2004. Open source GIS: A GRASS GIS approach. Using GRASS: Application examples. The International Series in Engineering and Computer Science 773 (Chapter 12) p. 289–325.
• REMINIERAS G. 1976. L'hydrologie de l'ingénieur [Hydrology of engineer]. Paris, France. Eyrolles editions pp. 456.
• RENARD K.G., FOSTER G.R., WEESIES G.A., MCCOOL D.K., YODER D.C. 1997. Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). U.S. Department of Agriculture. Agriculture Handbook. No. 703. ISBN 0-16-048938-5 pp. 384.
• ROOSE E. 1977. Adaptation des méthodes de conservation des sols aux conditions écologiques et socio-économiques de l'Afrique de l'Ouest [Adapting the methods of soil conservation to ecological and socio-economic conditions of West Africa]. Agronomie Tropicale. Vol. 32. Iss. 2 p. 132–140.
• ROOSE E., SARRAILH J.M. 1990. Erodibilité de quelques sols tropicaux, vingt années de mesure en parcelles d’érosion sous pluies naturelles [Erodibility of some tropical soils, twenty years of erosion measurement plots under natural rainfall]. Cahiers de l’ORSTOM. Série Pédologique. Vol. 25 p. 7–30.
• SADIKI A., FALEH A., ZEZERE J.L., MASTASS H. 2009. Quantification de l’érosion en nappes dans le bassin versant de l’oued Sahla Rif central Maroc [Quantification of sheet erosion in the watershed of Sahla river central Rif Morocco]. Cahiers Géographiques. Vol. 6 p. 59–70.
• SAIDI A. 1991. Erosion spécifique et prévision de l’envasement [Specific erosion and forecasting siltation]. Colloque sur l’érosion des sols et l’envasement des barrages. Alger Décembre 1991. Publication de l’Agence Nationale des Ressources Hydrauliques (ANRH) p. 204–226.
• SMITH H.J. 1999. Application of empirical soil loss models in southern Africa: A review. South African Journal of Plant and Soil. Vol. 16. Iss. 3 p. 158–163.
• STONE R.P., HILBORN D. 2012. Universal Soil Loss Equation (USLE). Ontario. Ministry of Agriculture, Food and Rural Affairs pp. 8.
• WISCHMEIER W.H., SMITH D.D. 1965. Predicting rainfall erosion losses from cropland east of the rocky mountains: Guide for selection of practices for soil and water conservation. U. S. Department of Agriculture. Agriculture Handbook. No. 282 pp. 58.
• WISCHMEIER W.H., SMITH D.D. 1978. Predicting raifall erosion losses: A guide to conservation planning. U.S. Department of Agriculture. Agriculture Handbook No. 537.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).