Sediment Yield Estimation Using RS and GIS for Upper Karha Watershed Maharashtra India

  • Satish S. DeshmukhEmail author
  • Abhaykumar S. Wayal
Original Contribution


Soil erosion and water conservation are major concerns arising from agricultural acceleration, changing land patterns and uncertain rainfall pattern. Soil erosion within watersheds results in increasing the deposition of sedimentation in the water bodies and thus dropping their carrying capacity and life span. Soil erosion studies are crucial for watershed design and management. The objective of current investigation is to quantify sediment yield of Upper Karha watershed of Pune district, Maharashtra, India, which is a semi-arid zone and rain-shadow region. In the present study, the sediment yield assessment by USLE model and RUSLE model is performed with the help of remote sensing and geographical information system. The average annual sediment yield is observed, i.e. 4.54 tonne/acre/year and 4.14 tonne/acre/year by USLE and RUSLE models, respectively. To address the current issue of sedimentation, suitable sites and suitable types of structures were suggested for soil and water conservation.


Soil erosion Remote sensing GIS USLE RUSLE Soil conservation structures 


  1. 1.
    Y. Liu, W. Zhao, X. Zhang, X. Fang, Soil water storage changes within deep profiles under introduced shrubs during the growing season. Water 8(10), 475 (2016)CrossRefGoogle Scholar
  2. 2.
    U. C. Kothyari, Erosion and sedimentation problems in India. in Proceedings of International Symposium on Erosion and Sediment Yield: Global and Regional Perspectives, (IAHS Publication, Wallingford, 1996), pp. 531–539Google Scholar
  3. 3.
    M. Hajigholizadeh, A.M. Melesse, H.R. Fuentes, Erosion and sediment transport modelling in shallow waters: a review on approaches, models and applications. Int. J. Environ. Res. Public Health 15, 518 (2018)CrossRefGoogle Scholar
  4. 4.
    K.B. Boomer, D.E. Weller, E. Thomas, J. Smithsonian, Empirical models based on the universal soil loss equation fail to predict sediment discharges from chesapeake bay catchments. J. Environ. Qual. 37, 79–89 (2008)CrossRefGoogle Scholar
  5. 5.
    A. N. Khosla, Silting of reservoir’, Publication No. 51, Central Board of Irrigation and Power (CBIP), New Delhi, 1953Google Scholar
  6. 6.
    V.V. Dhruvanarayana, R. Babu, Estimates of soil erosion in India. J. Irrig. Drain. 109(4), 419–433 (1983)CrossRefGoogle Scholar
  7. 7.
    R. J. Garde, K. C. Rangaraju, P. K. Swamee, G. D. Miraki, M. Molane Zhed, Mathematical modeling of sedimentation process in reservoirs”, Hydraulic Engineering, Report No. HYD 8304, University of Roorkee, India, 1983Google Scholar
  8. 8.
    U. Rahul, P.K. Arvind, S.K. Upadhyay, B. Avinash, Annual sedimentation yield and sediment characteristics of Upper Lake, Bhopal. India. Res. J. Chem. Sci. 2(2), 65–74 (2012)Google Scholar
  9. 9.
    J.C.N. dos Santos, E.M. de Andrade, P.H.A. Medeiros, H.A. de Queiroz Palácio, J.R. de Araújo Neto, Sediment delivery ratio in a small semi-arid watershed under conditions of low connectivity. Rev. Ciênc. Agron. 48(1), 49–58 (2017)Google Scholar
  10. 10.
    A.M. Zende, R.A. Patil, G.M. Bhosale, Sediment yield estimation and soil conservation measures for Agrani river basin using geospatial techniques. Mater. Today: Proc. 5(1), 550–556 (2018)CrossRefGoogle Scholar
  11. 11.
    Annual Report, Central Ground Water Board, Ministry of Water Resources, Government of India, Faridabad (2011–2012)Google Scholar
  12. 12.
    S. Gull, M.A. Ahangar, A.M. Dar, Prediction of stream flow and sediment yield of lolab watershed using swat model. Hydrol Curr. Res. 8, 265 (2017)CrossRefGoogle Scholar
  13. 13.
    S.S. Panda, D.P. Ames, S. Panigrahi, Application of vegetation indices for agricultural crop yield prediction using neural network techniques. J. Remote Sens. 2, 673–696 (2010)CrossRefGoogle Scholar
  14. 14.
    W. H. Wischmeier, D. D. Smith D. D. Predicting rainfall erosion losses. USDA Agricultural Research Service Handbook, p. 537, 1978Google Scholar
  15. 15.
    D. Sinha, V.U. Joshi, Application of universal soil loss equation (USLE) to recently reclaimed badlands along the Adula and Mahalungi rivers, Pravara basin, Maharashtra. J. Geol. Surv. India 80, 341–350 (2012)CrossRefGoogle Scholar
  16. 16.
    G.R. Foster, W.H. Wischmeier, Evaluating irregular slopes for soil loss prediction. J. Trans. Am. Soc. Agric. Eng. 17, 305–309 (1974)CrossRefGoogle Scholar
  17. 17.
    K. Renard, G.R. Foster, G.A. Weesies, J.P. Porter, Revised Universal Soil Loss Equation. J. Soil Water Conserv. 46, 30–33 (1991)Google Scholar
  18. 18.
    E. Roose, Use of the universal soil loss equation to predict erosion in West Africa, In Soil Erosion, Prediction and Control (Soil and Water Conservation Society, Ankeny, 1975), pp. 60–74Google Scholar
  19. 19.
    W.H. Wischmeier, C. Johnson, B.V. Cross, A soil credibility monograph for farmland and construction sites. J. Soil Water Conserv. 26, 189–193 (1971)Google Scholar
  20. 20.
    S.A. Rahaman, S. Aruchamy, R. Jegankumar, S.A. Ajeez, Estimation of annual average soil loss, based on rusle model in Kallar Watershed, Bhavani Basin, Tamilnadu, India. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. II-2(W2), 207–215 (2015)CrossRefGoogle Scholar
  21. 21.
    H. Mitasova, J. Hofierka, M. Zlocha, L. Iverson, Modeling topographic potential for erosion and deposition using GIS. Int. J. GIS 10(5), 629–641 (1996)Google Scholar
  22. 22.
    R. J. Patil, S. K. Sharma, Remote sensing and GIS based modeling of crop/cover management factor (C) of USLE in Shakker river watershed. in International Conference on Chemical, Agricultural and Medical Sciences, Kuala Lumpur, Malaysia, 2013Google Scholar
  23. 23.
    U.C. Kothyari, S.K. Jain, Sediment yield estimation using GIS. Hydrol. Sci. J. 42(6), 833–843 (1997)CrossRefGoogle Scholar
  24. 24.
    P. Panagosa, P. Borrellia, K. Meusburgerb, C. Alewellb, E. Lugatoa, L. Montanarella, Estimating the soil erosion cover-management factor at the European scale. Land Use Policy 48, 38–50 (2015)CrossRefGoogle Scholar
  25. 25.
    R. Chorley, Erosional development of streams and their drainage basins: hydrophysical approach to quantitative morphology. Bull. Geol. Soc. Am. 56, 275–370 (1995)Google Scholar
  26. 26.
    V.S. Gulavani, S.S. Deshmukh, A.M. Zende, Geomorphological analysis of upper Karha watershed in semi-arid area, Maharashtra, India. Int. Educ. Sci. Res. J. 3(8), 52–56 (2017)Google Scholar

Copyright information

© The Institution of Engineers (India) 2019

Authors and Affiliations

  1. 1.Department of Civil and Environmental EngineeringVJTIMumbaiIndia

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