Abstract
In the present study, the rainfall-runoff relationship is determined using USDA Soil Conservation Service (SCS) method. The coefficient of determination (R2) is 0.99, which indicates a high correlation between rainfall and runoff. The runoff potential map was prepared by assigning individual class weight and scores input map. Annual spatial soil loss estimation was computed using Morgan, Morgan and Finney mathematical model in conjunction with remote sensing and GIS techniques. Higher soil erosion was found to occur in the northern part of the Tons watershed. The soil texture in the affected area is coarse loamy to loamy skeletal and soil detachment is higher. Moreover the land use has open forests, which does not reduce the impact of rainfall. The average soil loss for all the four sub-watersheds was calculated, and it was found that the maximum average soil loss of 24.1 t/ha occurred in the sub-watershed 1.
Article PDF
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
References
Ambast, S.K., Keshari, A.K. and Gosain, A.K. (2002). Satellite remote sensing to support management of irrigation system: concept and approaches. Irrigation and Drainage, The Journal of the International Commission Irrigation and Drainage,51(1): 25–39.
Burrough, P.A. (1986). Principles of geographical information system for Land resources assessment. Clarendon Press, Oxford 193p.
De Roo, A.P., Hazelhoff, L. and Burrough, P.A. (1989). Soil erosion modeling using ‘ANSWERS’ and geographical information system. Earth Surf. Proces. Landf,14: 517–532.
Dhiman, S.D. and Keshari, A.K. (2002). GIS based correlation between groundwater quality parameter and geological units. In: Proc. of Int. conf. Map India Feb. 6–8, 2002 Delhi, India.
Gupta, R.P., Saha, A.K., Arora. M.K. and Kumar, A. (1999). Landslide Hazard zonation in a part of the Bhagirathi valley, Garhwal Himalayas, using integrated remote sensing-GIS. Jour. of Him. Geol.,20(2): 71–87
Hariprasad, V. and Chakraborti, A.K. (1997). Management of small watersheds using hydrologic modeling and GIS. International Conf. on Remote Sensing and GIS/GPS, March, pp. 16-19.
ITC, (1998). The Integrated Land and Water Information System (ILWIS) (3rd end). Int. Inst. For Aerospace Survey and Earth Science, The Netherlands.
Jain, M.K. and Kothyari, U.C. (2000). Estimation of soil erosion and sediments yields using GIS. Hydrol. Sci. Jr., Proc. IAHS, In Press.
Jain, S.K., Kumar, N., Ahmad, T. and Kite, G.W. (1998). SLURP model and GIS for estimation of runoff in part of Sutlej catchment, India. Hydrological Science-Journal Des Sciences Hydrologiuques,43(6)
Jain, S.K., Das, K.K. and Singh, R. (1996). GIS for estimation of direct runoff potential. Journal of Indian Water Resources Society,2(1): 42–47.
Keshari, A.K. (2001). Hydrological risk of arsenic contamination in West Bengal Delta & GIS applicability. International Workshop on Ecohydrology, Nov 25-30, 2001.UNESCO-IHP series (Eds V. Subramanium and A.L. Ramanathan), Captial Publishing Company, New Delhi, pp. 143–156.
Kothyari, U.C. and Jain, S.K. (1997). Sediments yield estimation using GIS. Hydrol. Sci. J., Proc. IAHS,42 (6): 833–843.
Kothyari, U.C., Tiwari, A.K. and Singh, R. (1997). Estimation of temporal variation of sediments yields from small catchments through the kinematics method. J. of Hydrology,203: 39–57.
Marshrigni, H.S. and Cruise, J.F. (1997). Sediment yield modeling by grouped response units. J. of Water Res. Planng. and Manmgt, Proc, ASCE,123(2): 95–104.
Moore, I. D., Gessler, P. E., Nielsen, G.A. and Peterson, G.A. (1992). Terrain analysis for soil-specific crop management, in Soil-Specific Crop Management: A Workshop on Resesrch and Development Issues. Minnestoa Extension Services, University of Minnestoa (Agriculture), Minneapolis, 23 p.
Moore, I.D., Turner, A.K., Willson, J.P., Jenson, S.K. and Band, L.E. (1993). GIS and Land-surface-subsurface process modeling, in Goodchild, M.F., parks, B.O. and steyaert, L.T.(eds), Environmental Modeling with GIS, pp. 213–230.
Morgan, R.P.C., Morgan, D.D.V. and Finney, H.J. (1984), A predicative model for the assessment of soil erosion risk. J. Agric. Engg. Res.,30: 235–253.
Morgan, R.P.C. (1995). Soil Erosion and Conservation, II edition, Longman, England.
Ross, M.A. and Tara, P.D. (1993) Integrated hydrologie modeling with geographic information system. Journal of Water Resources Planning and Management, ASCE,119(2): 129–141.
Saha, S.K., Bhattacharjee, J., Lalengzuva, C. and Pande, L.M. (1992). Prioritization of sub- watersheds based on erosion loss estimates—A case study of part of Song river watershed, Doon valley using digital satellite data. Proc. National Symp. on Remote Sensing for Sustainable Development, pp. 181–186.
Shamsi, U.M. (1996). Storm water management implementation through modeling and GIS. J. Water Res. Planng. & Manmgt., Proc. ASCE,122(2): 114–127.
Srinivasan, R. and Engle, B.A. (1994). A spatial decision support system for assessing the agricultural non-point source pollution. Wat. Resour. Bull.,3093: 441 -452.
Srinivas, D., Sivaprasad, V., Narsimham, M.L. and Ranganna, G. (1996). Velocity of modified US, SCS method for forested catchments in Sitamadi basin, Karnataka India. Journal of Applied Hydrology,IX(1&2).
Author information
Authors and Affiliations
About this article
Cite this article
Jasrotia, A.S., Dhiman, S.D. & Aggarwal, S.P. Rainfall-runoff and soil erosion modeling using Remote Sensing and GIS technique — a case study of tons watershed. J Indian Soc Remote Sens 30, 167–180 (2002). https://doi.org/10.1007/BF02990649
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF02990649