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Abstract

Soil erosion is one of the serious issues threatening the environment. It is a growing problem especially in areas of agricultural activity where soil erosion not only leads to de-creased agricultural productivity but also reduces water availability. This leads to drastic degradation of the agricultural lands. So there is a need to take up conservation and management measures which can be applied to check further soil erosion. Universal Soil Loss Equation (USLE) is the most popular empirically based model used globally for erosion prediction and control. Remote sensing and GIS techniques have become valuable tools for the digitization of the input data and genereation of maps. In the present study, RUSLE model has been adopted to estimate the soil erosion in the Khajuri watershed of Uttar Pradesh, India. This model involves calculation of parameters including runoff-rainfall erosivity factor (R), soil erodability Factor (K), topographic factor  (LS), cropping management factor (C), and support practice factor (P). Layer wise thematic maps of each of these factors were generated using GIS platform using various data sources and data preparation methods. The results of the study indicate that the annual average soil loss within the watershed is about  t/ha/yr (metric ton per hectare per year).

Keywords

Geo Information systems RUSLE Soil erosion ArcGIS.

Article Details

How to Cite
Agarwal, D., Tongaria, K., Pathak, S., Ohri, A., & Jha, M. (2016). SOIL EROSION MAPPING OF WATERSHED IN MIRZAPUR DISTRICT USING RUSLE MODEL IN GIS ENVIRONMENT. International Journal of Students’ Research in Technology & Management, 4(3), 56–63. https://doi.org/10.18510/ijsrtm.2016.433

References

  1. Kothyari,Uc. “Erosion and Sedimentation Problems in India.â€IAHS Publications- series of Proceedings and...(1996):531-540.Web.
  2. Fernandez, C., Wu, J., McCool, D., and Stockle, C.,Estimating Water Erosion and Sedi-ment Yield with.
  3. GIS, RUSLE, and SEDD. Journal of Soil and WaterConservation 58 (3), pp 128-136 (2003).
  4. Hotes, F. (1985). "Discussion of “Estimation of Soil Erosion in India†by Dhruva V. V. Narayana and Ram Babu (December, 1983)." J. Irrig. Drain Eng., 10.1061/(ASCE)0733-9437(1985)111:4(407), 407-408. DOI: https://doi.org/10.1061/(ASCE)0733-9437(1985)111:4(407)
  5. Mapping Soil Erosion and Sediment Yield Susceptibility using RUSLE.European Environment Agency, 1995. CORINE.soil risk and important land resources-in the southern regions of the European Community,Commission of the European Communities.
  6. Gansari, B.P., and H. Ramesh “Assesment of Soil Erosion by Soil Erosion Model Using Remote Sensing and GIS- A Case Study of Nethravathi Basin†Geoscience Frontiers (2015):1-9.Web.
  7. C. S. Renschler, C. Mannaerts and B. Diekkrüger, 1999. Evaluating Spatial and Temporal Variability in Soil Ero- sion Risk—Rainfall Erosivity and Soil Loss Ratios in Andalusia, Spain,†Catena, Vol. 34, No. 3-4, 1999, pp. 209-225. doi:10.1016/S0341-8162(98)00117-9. DOI: https://doi.org/10.1016/S0341-8162(98)00117-9
  8. Wishmeier. (1978). predicting rainfall erosion losses-a guide to conservation planning. iahs_236_0531.
  9. Arnold, J.G., R. Srinivasan, R.S. Muttiah and J.R. Williams, 1998. large area hydrologic modeling and assessment: Part I. Model development. Journal of the American WaterResources Association, 34(1): 73-89. DOI: https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
  10. Morgan, R.P.C., J.N. Quinton, R.E. Smith, G. Govers, J. Poesen, K. Auerswald, G. Chisci, D.Torri. and M.E. Styczen, 1998. The European Soil Erosion Model (EUROSEM): a dynamicapproach for predicting sediment transport from fields and small atchments. Earth Surface Processes and Landforms, 23: 527-544. DOI: https://doi.org/10.1002/(SICI)1096-9837(199806)23:6<527::AID-ESP868>3.0.CO;2-5
  11. Renard, Kg et al, “Pridcting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal soil Loss Equation (RUSLE).†Agricultural Handbook No. 703 1997:404.Web.
  12. Surjit Singh Saini, Ravinder Jangra, S. P Kaushik ,†Vulnerability assessment of soil erosion using geospatial techniques- a pilot study of upper catchment of markanda river†IJARSGG (2015) Vol.3, No.1, 9-21.
  13. Millward, A.A. and J.E. Mersey, 1999. Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. Catena, 3: 109-129. DOI: https://doi.org/10.1016/S0341-8162(99)00067-3
  14. Todd, B., Assessment of Soil Erosion Risk within a Sub watershed using GIS and RUSLE with a Comparative Analysis of the use of STATSGO and SSURGO Soil Databases. Re-source Analysis, Volume 8, pp 1-22 (2006).
  15. Jain, M. K., Mishra, S. K., and Shah, R. B., Estimation of Sediment Yield and Areas Vulnerable to Soil Erosion and Deposition in a Himalayan Watershedusing GIS. Current Science, Vol. 98, No. 2, pp 213-221 (2010).
  16. Wischmeier, W.H. and D.D. Smith, 1978. Predicting rainfall erosion. losses: a guide to conservation planning. Agriculture Handbook,vol. 537. US Department of Agriculture, Washington,DC, pp: 58.
  17. Angima S.D., Stott D.E., O’Neill M.K., Ong C.K. and Weesies G.A. (2003). Soil erosion prediction using RUSLE for central Kenyan highland conditions. Agriculture, Ecosystems and Environment 97(1-3): 295-308. DOI: https://doi.org/10.1016/S0167-8809(03)00011-2
  18. Ayed G. Mohammad , Mohammad A. Adam ,†The impact of vegetative cover type on runoff and soil erosion under different land usesâ€, Catena 81 (2010) 97–103 Contents, doi:10.1016/j.catena.2010.01.008. DOI: https://doi.org/10.1016/j.catena.2010.01.008
  19. García-Ruiz, J. M. (2010). The effects of land uses on soil erosion in Spain: a review. Catena, 81,1e11. DOI: https://doi.org/10.1016/j.catena.2010.01.001
  20. Nunes, A. N., Coelho, C. O. A., Almeida, A. C., & Figueiredo, A. (2010). Soil erosion and hydrological response to land abandonment in a central Inland area of Portugal. Land Degradation and Development, 21, 260e273. DOI: https://doi.org/10.1002/ldr.973
  21. Loh, Seyram Kofi,†Estimation of usle’s c-factor using vegetation indices (vis) for soil erosion modelling in lake bosumtwi basin, ghanaâ€, Nkrumah University of Science and Technology.
  22. R. Parveen and U. Kumar, “Integrated Approach of Universal Soil Loss Equation (USLE) and Geographical Information System (GIS) for Soil Loss Risk Assessment in Upper South Koel Basin, Jharkhand,†Journal of Geographic Information System, vol. 4, pp. 588-596, 2012 DOI: https://doi.org/10.4236/jgis.2012.46061
  23. Singh G, Ram Babu and Chandra S 1981 Soil loss predic- tion research in India; Tech. Bull. T-12/D-9, Central Soil andWater Conservation Research and Training Institute, Dehradun, India.
  24. G. O. Schwab, R. K. Frevert, T. W. Edminster and K. K. Barnes, “Soil Water Conservation Engineering,†3rd Edi- tion, Wiley, New York, 1981.
  25. H. Mitasova and L. Mitas, “Modeling soil detachment with RUSLE 3d using GIS,†Geographic Modeling Systems Laboratory, University of Illinois at Urbana- Champaign, Available online at: http://skagit.meas.ncsu.edu/~helena/gmslab/erosion/usle.html, 1999.
  26. Van der Knijff, J., R. Jones, and L. Montanarella. (1999). Soil erosion risk assessment in Italy, European Soil Bureau, European Commission.