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RUSLE2 Model Application for Soil Erosion Assessment Using Remote Sensing and GIS

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  • Jasmin Ismail
  • S. Ravichandran

Abstract

The study is focused on the estimation of rate of soil erosion, using Revised Universal Soil Loss Eq. 2 (RUSLE2), in the Veppanapalli subwatershed of Krishnagiri catchment located in Tamil Nadu, India. The soil erosion is estimated for each of the hillslope units in the study area. The factors considered are intensity of rainfall, type of soil, land use classification and the existing soil conservation practices. Detailed analysis of soil samples were done to assess the texture, structure, permeability and organic matter content of the soil samples of each hillslope unit. The required data for the other parameters were estimated by carrying out intense field investigations and by the analysis of the satellite imagery of 5.6 m resolution. A data base was created with all the subfactor values for the hillslope units. Incorporation of remote sensing technique and Geographic Information System (GIS) made the spatial analysis of the study more reliable and accurate. The annual average soil erosion rate is estimated as 25 t/ha/year, which is on a higher range. This indicates the immediate need for the adoption of proper conservation strategies in this area to control the eutrophication in the Krishnagiri reservoir and to prevent further watershed degradation. Copyright Springer Science+Business Media, Inc. 2008

Suggested Citation

  • Jasmin Ismail & S. Ravichandran, 2008. "RUSLE2 Model Application for Soil Erosion Assessment Using Remote Sensing and GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(1), pages 83-102, January.
    • Handle: RePEc:spr:waterr:v:22:y:2008:i:1:p:83-102
    DOI: 10.1007/s11269-006-9145-9
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    References listed on IDEAS

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    1. Lufafa, A. & Tenywa, M. M. & Isabirye, M. & Majaliwa, M. J. G. & Woomer, P. L., 2003. "Prediction of soil erosion in a Lake Victoria basin catchment using a GIS-based Universal Soil Loss model," Agricultural Systems, Elsevier, vol. 76(3), pages 883-894, June.
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    1. Muth, D.J. & Bryden, K.M. & Nelson, R.G., 2013. "Sustainable agricultural residue removal for bioenergy: A spatially comprehensive US national assessment," Applied Energy, Elsevier, vol. 102(C), pages 403-417.
    2. Liangang Chen & Xin Qian & Yong Shi, 2011. "Critical Area Identification of Potential Soil Loss in a Typical Watershed of the Three Gorges Reservoir Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3445-3463, October.
    3. V. Prasannakumar & H. Vijith & N. Geetha & R. Shiny, 2011. "Regional Scale Erosion Assessment of a Sub-tropical Highland Segment in the Western Ghats of Kerala, South India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3715-3727, November.
    4. Pratt, Michelle R. & Tyner, Wallace E. & Muth, David J. & Kladivko, Eileen J., 2014. "Synergies between cover crops and corn stover removal," Agricultural Systems, Elsevier, vol. 130(C), pages 67-76.
    5. Demetris Zarris & Marianna Vlastara & Dionysia Panagoulia, 2011. "Sediment Delivery Assessment for a Transboundary Mediterranean Catchment: The Example of Nestos River Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3785-3803, November.
    6. Velu Sudha & Neelakanda Ambujam, 2013. "Characterization of bottom sediments and phosphorus fractions in hyper-eutrophic Krishnagiri reservoir located in an agricultural watershed in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 15(2), pages 481-496, April.
    7. Wen-Chieh Chou, 2010. "Modelling Watershed Scale Soil Loss Prediction and Sediment Yield Estimation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2075-2090, August.

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    Keywords

    erosion; RUSLE2 model; remote sensing; GIS analysis;
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