Estimation of Soil Erosion Using GIS in Pune District, Maharashtra

Year : 2025 | Volume : 16 | Issue : 02 | Page : 26 33
    By

    N.J. Sathe,

  • Y.V. Bachhav,

  • N.T. Rajput,

  • H.H. Ansari,

  • S.D. Yadav,

  • R.R. Kumbhar,

  • S.R. Vare,

  • S.B. Ghadage,

  1. Faculty, Department of Civil Engineering, Rajgad Dnyanpeeth Technical Campus, Shri Chhatrapati Shivajiraje College of Engineering, Dhangawadi, Bhor,Pune, Maharashtra, India
  2. Faculty, Department of Civil Engineering, Rajgad Dnyanpeeth Technical Campus, Shri Chhatrapati Shivajiraje College of Engineering, Dhangawadi, Bhor,Pune, Maharashtra, India
  3. Student, Department of Civil Engineering, Rajgad Dnyanpeeth Technical Campus, Shri Chhatrapati Shivajiraje College of Engineering, Dhangawadi, Bhor,Pune, Maharashtra, India
  4. Student, Department of Civil Engineering, Rajgad Dnyanpeeth Technical Campus, Shri Chhatrapati Shivajiraje College of Engineering, Dhangawadi, Bhor,Pune, Maharashtra, India
  5. Student, Department of Civil Engineering, Rajgad Dnyanpeeth Technical Campus, Shri Chhatrapati Shivajiraje College of Engineering, Dhangawadi, Bhor,Pune, Maharashtra, India
  6. Student, Department of Civil Engineering, Rajgad Dnyanpeeth Technical Campus, Shri Chhatrapati Shivajiraje College of Engineering, Dhangawadi, Bhor,Pune, Maharashtra, India
  7. Student, Department of Civil Engineering, Rajgad Dnyanpeeth Technical Campus, Shri Chhatrapati Shivajiraje College of Engineering, Dhangawadi, Bhor,Pune, Maharashtra, India
  8. Student, Department of Civil Engineering, Rajgad Dnyanpeeth Technical Campus, Shri Chhatrapati Shivajiraje College of Engineering, Dhangawadi, Bhor,Pune, Maharashtra, India

Abstract

The Varandha Ghats pans approximately 14.62 km 2 , where changes in temperature, vegetation, topography, and soil characteristics are causing continuous soil erosion. Catchment heterogeneity and climatic variations cause spatial variability in hydrological processes. Differences in land use, soil type, topography, and rainfall patterns influence how water moves and accumulates across regions, resulting in diverse hydrological responses. This complexity challenges accurate modeling and effective water resource management strategies across variable landscapes. This study applies Geographic Information System (GIS) techniques to divide the watershed into nearly uniform sub-regions for analysis. Soil erosion is evaluated using the Revised Universal Soil Loss Equation (RUSLE) model, which considers a number of variables, including crop cover (C), slope length (LS), rainfall erosivity (R), soil erodibility (K), and conservation practices (P). These parameters are extracted from various surface features, analyzed, and presented in raster format. The results highlight sediment distribution across the watershed and the sediment yield at the outlet.

Keywords: GIS, RUSLE, soil erosion, soil erodibility, slope length, spatial analysis

[This article belongs to Journal of Remote Sensing & GIS ]

How to cite this article:
N.J. Sathe, Y.V. Bachhav, N.T. Rajput, H.H. Ansari, S.D. Yadav, R.R. Kumbhar, S.R. Vare, S.B. Ghadage. Estimation of Soil Erosion Using GIS in Pune District, Maharashtra. Journal of Remote Sensing & GIS. 2025; 16(02):26-33.
How to cite this URL:
N.J. Sathe, Y.V. Bachhav, N.T. Rajput, H.H. Ansari, S.D. Yadav, R.R. Kumbhar, S.R. Vare, S.B. Ghadage. Estimation of Soil Erosion Using GIS in Pune District, Maharashtra. Journal of Remote Sensing & GIS. 2025; 16(02):26-33. Available from: https://journals.stmjournals.com/jorsg/article=2025/view=223083


References

  1. Pal B, Samanta S. Estimation of soil loss using remote sensing and geographic information system techniques (Case study of Kaliaghai River basin, Purba & Paschim Medinipur District, West Bengal, India). Indian J Sci Technol. 2011 Oct; 4(10): 1202–7.
  2. Bali YP, Karale RL. A sediment yield index as a criterion for choosing priority basins. IAHS-AISH Publishing. 1977; 222: 180.
  3. Yitayew M, Pokrzywka SJ, Renard KG. Using GIS for facilitating erosion estimation. Appl Eng Agric. 1999; 15(4): 295–301.
  4.  Wischmeier WH, Dwight David Smith. Predicting rainfall erosion losses: a guide to conservation planning. USDA Agriculture Handbook. Department of Agriculture, Science and Education Administration; 1978; 537.
  5.  Jain SK, Kumar S, Varghese J. Estimation of soil erosion for a Himalayan watershed using GIS technique. Water Resour Manag. 2001 Feb; 15(1): 41–54.
  6.  Lim KJ, Sagong M, Engel BA, Tang Z, Choi J, Kim KS. GIS-based sediment assessment tool. Catena. 2005 Nov 30; 64(1): 61–80.
  7.  Singh G, Chandra S, Babu R. Soil loss and prediction research in India. Central Soil and Water Conservation Research Training Institute. Bulletin No T-12 D. 1981; 9(1981).
  8. Fu G, Chen S, McCool DK. Modeling the impacts of no-till practice on soil erosion and sediment yield with RUSLE, SEDD, and ArcView GIS. Soil Tillage Res. 2006 Jan 1; 85(1–2): 38–49.
  9. Wachal DJ, Banks KE. Integrating GIS and erosion modeling–A tool for watershed management. In: ESRI international user conference, Paper NUC1038. 2007 Jun.
  10.  Saha SK. Water and wind induced soil erosion assessment and monitoring using remote sensing and GIS. Satellite remote sensing and GIS applications in agricultural meteorology; Proceedings of a Training Workshop. 2003 Jul 7; 315–30.
  11.  Kothyari UC. Erosion and sedimentation problems in India. IAHS Publications-Series of Proceedings and Reports-Intern Assoc Hydrological Sciences. 1996 Jul; 236: 531–40.
  12.  Renard KG. Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). US Department of Agriculture, Agricultural Research Service; 1997.
  13.  Kim HS, Julien Pierre Y. Soil erosion modeling using RUSLE and GIS on the IMHA Watershed. Water Engineering Research. 2006; 7(1): 29–41.
Regular Issue Subscription Original Research
Volume 16
Issue 02
Received 12/04/2025
Accepted 01/05/2025
Published 10/07/2025
Publication Time 89 Days
40


My IP

PlumX Metrics