Water Resources Management

, Volume 21, Issue 10, pp 1635–1647 | Cite as

Estimation of Soil Erosion and Sediment Yield Using GIS at Catchment Scale

  • Rabin Bhattarai
  • Dushmata Dutta


A GIS-based method has been applied for the determination of soil erosion and sediment yield in a small watershed in Mun River basin, Thailand. The method involves spatial disintegration of the catchment into homogenous grid cells to capture the catchment heterogeneity. The gross soil erosion in each cell was calculated using Universal Soil Loss Equation (USLE) by carefully determining its various parameters. The concept of sediment delivery ratio is used to route surface erosion from each of the discritized cells to the catchment outlet. The process of sediment delivery from grid cells to the catchment outlet is represented by the topographical characteristics of the cells. The effect of DEM resolution on sediment yield is analyzed using two different resolutions of DEM. The spatial discretization of the catchment and derivation of the physical parameters related to erosion in the cell are performed through GIS techniques.

Key words

DEM GIS soil erosion sediment delivery ratio sediment yield 


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  1. Al-Soufi R (2004) Soil erosion and sediment transport in the Mekong basin. In: Proc. of 2nd APHW conference, Singapore, pp 47–56Google Scholar
  2. Bartsch KP, Mietgroet HV, Boettinger J, Dobrowolski JP (2002) Using empirical erosion models and GIS to determine erosion at Camp William, Utah. J Soil Water Conserv 57(1):29–37Google Scholar
  3. Beasley DB, Huggins LF, Monke EJ (1980) ANSWERS: a model for watershed planning. Trans ASAE 23(4):938–944Google Scholar
  4. Beven KJ (1989) Changing ideas in hydrology: the case of physically-based models. J Hydrol 105:157–172CrossRefGoogle Scholar
  5. Beven KJ (1996) A discussion of distributed hydrological modeling. In: Abott MB, Refsgaard JC (eds) Distributed hydrological modeling. Kluwer, Dordrecht, The Netherlands, pp 278–255Google Scholar
  6. Brazier RE, Beven KJ, Freer J, Rowan JS (2000) Equifinality and uncertainty in physically-based soil erosion models: application of the GLUE methodology to WEPP, the Water Erosion Prediction Project for sites in the UK and USA. Earth Surf Process Landf 25:825–845CrossRefGoogle Scholar
  7. Ferro V (1997) Further remarks on a distributed approach to sediment delivery. Hydrol Sci J 42(5):633–647Google Scholar
  8. Ferro V, Minacapilli M (1995) Sediment delivery processes at basin scale. Hydrol Sci J 40(6):703–717Google Scholar
  9. Fistikoglu O, Harmancioglu NB (2002) Integration of GIS with USLE in assessment of soil erosion. Water Resour Manag 16:447–467CrossRefGoogle Scholar
  10. Grayson RB, Moore ID, McMahon TA (1992) Physically based hydrologic modelling 2: is the concept realistic? Water Resour Res 26(10):2659–2666CrossRefGoogle Scholar
  11. Haan CT, Barfield BJ, Hayes JC (1994) Design hydrology and sedimentology for small catchments. Academic, New YorkGoogle Scholar
  12. Hadley RF, Lal R, Onstad CA, Walling DE, Yair A (1985) Recent developments in erosion and sediment yield study. UNESCO (IHP), Paris, FranceGoogle Scholar
  13. Hrissanthou V, Mylopoulos N, Tolikas D, Mylopoulos Y (2003) Simulation modeling of runoff, groundwater flow and sediment transport into Kastoria Lake, Greece. Water Resour Manag 17:223–242CrossRefGoogle Scholar
  14. Jain MK, Kothyari UC (2001) Estimation of soil erosion and sediment yield using GIS. Hydrol Sci J 45(5):771–786Google Scholar
  15. Jain SK, Kumar S, Varghese J (2001) Estimation of soil erosion for a Himalayan watershed using a GIS technique. Water Resour Manag 15:41–54CrossRefGoogle Scholar
  16. Jain SK, Singh P, Saraf AK, Seth SM (2003) Estimation of sediment yield for a rain, snow and glacier fed river in the Western Himalayan Region. Water Resour Manag 17:377–393CrossRefGoogle Scholar
  17. Kothyari UC, Jain SK (1997) Sediment yield estimation using GIS. Hydrol Sci J 42(6):833–843CrossRefGoogle Scholar
  18. Marsh WM ,Grossa JJ (1996) Environmental geography: science land use, and earth systems. Wiley, Toronto, CanadaGoogle Scholar
  19. Marshringni HS, Cruise JF (1997) Sediment yield modeling by grouped response units. J Water Resour Plan Manage 123(2):95–104CrossRefGoogle Scholar
  20. McCool DK, Brown LC, Foster GR, Mutchler CK, Mayer LD (1987) Revised slope steepness factor for the Universal Soil Loss Equation. Trans ASAE 30:1387–1396Google Scholar
  21. McCool DK, Foster GR, Mutchler CK, Mayer LD (1989) Revised slope length factor for Universal Soil Loss Equation. Trans ASAE 32:1571–1576Google Scholar
  22. Morgan RPC (1995) Soil erosion and conservation. Longman, Essex, UKGoogle Scholar
  23. Morgan RPC, Quinton JN, Smith RE, Govers G, Poesen JWA, Auerswald K, Chisci G, Torri D, Styczen ME (1998) The European soil erosion model (EUROSEM): a process-based approach for predicting sediment transport from fields and small catchments. Earth Surf Process Landf 23:527–544CrossRefGoogle Scholar
  24. MRC – Mekong River Commission (2003) State of the basin report, Mekong River Commission, Phnom PenhGoogle Scholar
  25. Musgrave GW (1947) The quantitative evaluation of factors in water erosion – a first approximation. J Soil Water Conserv 2(3):133–138, 170Google Scholar
  26. Nearing MA, Foster GR, Lane LJ, Flinkener SC (1989) A process based soil erosion model for USDA water erosion prediction project technology. ASCE 32(5):1587–1593Google Scholar
  27. Onyando JO, Kisoyan P, Chemelil MC (2005) Estimation of potential soil erosion for River Perkerra catchment in Kenya. Water Resour Manag 19:133–143CrossRefGoogle Scholar
  28. Panday A, Chowdary VM, Mal BC (2006) Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resour Manag DOI 10.1007/s11269-006-9061-z (in press)
  29. Renard KG, Foster GR, Weesies GA, Porter JP (1991) RUSLE, Revised Universal Soil Loss Equation. J Soil Water Conserv 46(1):30–33Google Scholar
  30. Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC (1996) Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation, US Department of Agriculture, Agricultural Research Services, Agricultural handbook, p 703Google Scholar
  31. Rewarts CC, Engel BA (1991) ANSWERS on GRASS: Integrating a watershed simulation model with a GIS. In: Proc. of American Society of Agricultural Engineers, St. Joseph, Michigan, USA. (ASAE paper no. 91-2621)Google Scholar
  32. Schwab GO, Frevert RK, Edminster TW, Barnes KK (1981) Soil and water conservation engineering, 3rd edn. Wiley, New York, USAGoogle Scholar
  33. SCS – Soil Conservation Service (1975) Urban hydrology for small watersheds. Technical release no. 55, Soil Conservation Service, United States Department of Agriculture, Washington, DC, USAGoogle Scholar
  34. Srinivasan R, Engel BA (1994) A spatial decision support system for assessing agricultural non point source pollution. Water Resour Bull 30(3):441–452Google Scholar
  35. Suntaree Y (1993) A catalogue of water retention functions of major soil series of Thailand, Department of Soil Science. Kasetsart University, ThailandGoogle Scholar
  36. Walling DE (1983) The sediment delivery problem. J Hydrol 65:209–237CrossRefGoogle Scholar
  37. Walling DE (1988) Erosion and sediment yield research – some recent perspectives. J Hydrol 100:113–141CrossRefGoogle Scholar
  38. Williams JR (1975) Sediment routing for agricultural watersheds. Water Resour Bull 11:965–974Google Scholar
  39. Williams R, Berndt HD (1972) Sediment yield computed with universal equation. J Hydrau Div, ASCE 98(HY12):2087–2098Google Scholar
  40. Williams JR, Jones CA, Dyke PT (1984) A modeling approach determining the relationship between erosion and soil productivity. Trans ASAE 27:129–144Google Scholar
  41. Wischmeier WH, Smith DD (1965) Predicting rainfall-erosion losses from cropland east of Rocky Mountains: guide for selection of practices for soil and water conservation. US Department of Agriculture, Agricultural handbook 282Google Scholar
  42. Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses – a guide to conservation planning. US Department of Agriculture, Agricultural handbook 537Google Scholar
  43. Woolhiser DA, Smith RE, Goodrich DC (1990) KINEROS, A kinematic runoff and erosion model: documentation and user manual. USDA-Agricultural Research Service, ARS-77, p 130Google Scholar
  44. Yang D, Kanae S, Oki T, Koikel T, Musiake T (2003) Global potential soil erosion with reference to land use and climate change. Hydrol Process 17(14):2913–2928CrossRefGoogle Scholar
  45. Young RA, Onstad CA, Bosch DD, Anderson WP (1987) AGNPS: an agricultural non point source pollution model. Conservation research report 35, US Dept. Agric. Res. Services, Washington, DC, USAGoogle Scholar

Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  1. 1.Department of Agricultural and Biological EngineeringUniversity of Illinois at Urbana-ChampaignUrbanaUSA
  2. 2.School of Applied Sciences and EngineeringMonash UniversityMonashAustralia

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