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Environmental Monitoring and Assessment

, Volume 131, Issue 1–3, pp 153–161 | Cite as

Use of USLE/GIS Methodology for Predicting Soil Loss in a Semiarid Agricultural Watershed

  • Emrah H. Erdogan
  • Günay Erpul
  • İlhami Bayramin
Article

Abstract

The Universal Soil Loss Equation (USLE) is an erosion model to estimate average soil loss that would generally result from splash, sheet, and rill erosion from agricultural plots. Recently, use of USLE has been extended as a useful tool predicting soil losses and planning control practices in agricultural watersheds by the effective integration of the GIS-based procedures to estimate the factor values in a grid cell basis. This study was performed in the Kazan Watershed located in the central Anatolia, Turkey, to predict soil erosion risk by the USLE/GIS methodology for planning conservation measures in the site. Rain erosivity (R), soil erodibility (K), and cover management factor (C) values of the model were calculated from erosivity map, soil map, and land use map of Turkey, respectively. R values were site-specifically corrected using DEM and climatic data. The topographical and hydrological effects on the soil loss were characterized by LS factor evaluated by the flow accumulation tool using DEM and watershed delineation techniques. From resulting soil loss map of the watershed, the magnitude of the soil erosion was estimated in terms of the different soil units and land uses and the most erosion-prone areas where irreversible soil losses occurred were reasonably located in the Kazan watershed. This could be very useful for deciding restoration practices to control the soil erosion of the sites to be severely influenced.

Keywords

USLE/GIS methodology Flow accumulation Soil erosion 

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References

  1. Bartsch, K. P., van Miegroet, H., Boettinger, J., & Dobrwolski, J. P. (2002). Using empirical erosion models and GIS to determine erosion risk at Camp Williams. Journal of Soil and Water Conservation, 57, 29–37.Google Scholar
  2. Burrough, P. A. (1986). Principles of geographical information system for land resources assessment. Oxford: Clarendon PressGoogle Scholar
  3. Cerri, C. E. P., Dematte, J. A. M., Ballester, M. V. R., Martinelli, L. A., Victoria, R. L., & Roose, E. (2001). GIS erosion risk assessment of the Piracicaba River Basin, southeastern Brazil. Mapping Sciences and Remote Sensing, 38, 157–171.Google Scholar
  4. 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, 51, 427–433.Google Scholar
  5. Dogan, O. (2002). Erosive potentials of rainfalls in Turkey and erosion index values of universal soil loss equation (publication no. 220, report no. R-120). Ankara, Turkey: Publications of Ankara Research Institutes, General Directorate of Rural Service.Google Scholar
  6. EEA, (1999). Environment in the European Union at the turn of the century. (environmental assessment report 2).Copenhagen, Denmark: European Environment Agency.Google Scholar
  7. Eedy, W. (1995). The use of GIS in environmental assessment. Impact Assessment, 13, 199–206.Google Scholar
  8. Foster, G. R., McCool, D. K., Renard, K. G., & Moldenhauer, W. C. (1981). Conversion of universal soil loss equation to SI metric units. Journal of Soil and Water Conservation, 36, 355–359.Google Scholar
  9. GDPS (General Directorate of Rural Service) (1986). 1/25000 Soil Map of Ankara, Turkey. Digital Soil Database: Soil and Water Resources National Information Centre, TurkeyGoogle Scholar
  10. Hession, W. C., & Shanholtz, V. O. (1988). A geographic information system for targeting non point-source agricultural pollution. Journal of Soil and Water Conservation, 43(3), 264–266.Google Scholar
  11. Kinnell, P. I. A. (2001). Slope length factor for applying the USLE-M to erosion in grid cells. Soil & Tillage Research, 58, 11–17.CrossRefGoogle Scholar
  12. Lee, S. (2004). Soil erosion assessment and its verification using the universal soil loss equation and geographic information system: A case study at Boun, Korea. Environmental Geology, 45, 457–465.CrossRefGoogle Scholar
  13. Lu, D., Lı, G., Valladares, G. S., & Batistella, M. (2004). Mapping soil erosion risk in Rondonia, Brazilian Amazonia: Using RUSLE, remote sensing and GIS. Land Degradation and Development, 15, 499–512.CrossRefGoogle Scholar
  14. Ma, J. W., Xue, Y., Ma, C. F., & Wang, Z. G. (2003). A data fusion approach for soil erosion monitoring in the Upper Yangtze River Basin of China based on universal soil loss equation (USLE) model. International Journal of Remote Sensing, 24, 4777–4789.CrossRefGoogle Scholar
  15. Martin, A., Gunter, J., & Regens, J. (2003). Estimating erosion in a riverine watershed, Bayou Liberty–Tchefuncta River in Louisiana. Environmental Science and Pollution Research, 4, 245–250.CrossRefGoogle Scholar
  16. Millward, A. A., & Mersey, J. E. (1999). Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. Catena, 38, 109–129.CrossRefGoogle Scholar
  17. Moore, I. D., & Burch, G. J. (1986a). Modeling erosion and deposition. Topographic effects. Transactions of the ASAE 29, 1624–1630, 1640.Google Scholar
  18. Moore, I. D., & Burch, G. J. (1986b). Physical basis of the length–slope factor in the Universal Soil Loss Equation. Soil Science Society of America Journal, 50, 1294–1298.CrossRefGoogle Scholar
  19. Ogawa, S., Saito, G., Mino, N., Uchida S., Khan, N. M., & Shafiq, M. (1997). Estimation of soil erosion using USLE and Landsat TM in Pakistan (ACRS 1–5). Retrieved from GIS development.net.
  20. Ouyang, D., & Bartholic, J. (2001). Web-based GIS application for soil erosion prediction (pp. 260–263). In Proceedings of an International Symposium—Soil Erosion Research for the 21st Century, Honolulu, HI, January 3–5, 2001.Google Scholar
  21. Renard, K. G., Foster, G. A., Weesies, D. 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) (agriculture handbook no. 703). Washington, DC: USDA.Google Scholar
  22. Romkens, M. J. M., Prasad, S. N., & Poesen, J. W. A. (1986). Soil erodibility and properties (pp. 492–504). Trans. 13th Congress of the Int. Soc. of Soil Sci., Hamburg, Germany.Google Scholar
  23. Toy, T. J. & Foster, G. R. (1998). In J.R. Galetevic (Ed.), Guidelines for the revised universal soil loss equation (Rusle) version 1.06 on mined lands, construction sites, and reclaimed lands. Suite 3320, 1999 Broadway, Denver, CO 80202-5733: The Office of Technology Transfer Western Regional Coordinating Center Office of Surface Mining.Google Scholar
  24. Van der Kniff, J. M., Jones, R. J. A., & Montanarella, L. (2000). Soil erosion risk assessment in Europe, EUR 19044 EN (44 pp.). Luxembourg: Office for Official Publications of the European Communities.Google Scholar
  25. Ventura, S. J., Chrisman, N. R., Conncrs, K., Gurda, R. F., & Martin, R. W. (1988). A land information system for soil erosion control planning. Journal of Soil and Water Conservation, 43(3), 230–233.Google Scholar
  26. Wall, G. J., Coote, D. R., Pringle, E. A., & Shelton, I. J. (1997). RUSLEFAC—Revised universal soil loss equation for application in Canada. Ottawa, Canada: Centre for Land and Biological Resources Research, Research Branch, Agriculture and Agri-Food Canada.Google Scholar
  27. Wang, G., Gertner, G., Fang, S., & Anderson, A. B. (2003). Mapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slope map. Photogrammetric Engineering and Remote Sensing, 69, 889–898.Google Scholar
  28. Wilson, J. P. & Lorang, M. S. (2000). Spatial models of soil erosion and GIS. In A. S. Fotheringham & M. Wegener (Eds.), Spatial models and GIS: new potential and new models (pp. 83–108). Philadelphia, PA: Taylor & Francis.Google Scholar
  29. Wischmeier, W. H. & Smith, D. D. (1958). Rainfall energy and its relationship to soil loss. Transactions—American Geophysical Union, 39(2), 285–291.Google Scholar
  30. Wischmeier, W. H. & Smith, D. D. (1978). Predicting rainfall erosion losses—A guide for conservation planning (agricultural handbook 537). Washington, DC: USDA.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2006

Authors and Affiliations

  • Emrah H. Erdogan
    • 1
  • Günay Erpul
    • 1
  • İlhami Bayramin
    • 1
  1. 1.Department of Soil Science, Faculty of AgricultureUniversity of AnkaraDiskapı-AnkaraTurkey

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