Skip to main content

Soil Erosion Assessment of Hilly Terrain of Paderu Using USLE and GIS

  • Conference paper
  • First Online:
Proceedings of International Conference on Remote Sensing for Disaster Management

Abstract

To assess and predict soil erosion of the Paderu Mandal, is a part of Eastern Ghats of India, was found out with the assistance of Universal Soil Loss Equation (USLE) coordinated with Geospatial technologies. Discoveries from this study, the average value of rainfall erosivity factor (R) was observed to be 535.722 MJ mm ha−1 h−1 year−1 and soil erodibility factor (K) varies in between 0.21 and 0.27 t h MJ−1 mm−1. Slope steepness and flow accumulation were to calculate topographic factor (LS) and it is dimensionless. The land use map was derived from IRS P6 imagery of LISS III data (2011) and utilized for examining the crop management factor (C), where support the practice factor (P) value is 1, these is no major conservation practices in the study area. All erosion factors are incorporated and analyzed in GIS environment. Finally, annual soil loss evaluated and furthermore the rate of erosion classes was contemplated. The average annual soil loss of entire study area is 113 t ha−1 year−1. Around 70.80% of the area is under moderate class (5–10%), 22.06% of the area under slight (0–5%) and rest of classes are high, high and extreme erosion respectively.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Adediji, A., Tukur, A.M., Adepoju, K.A.: Assessment of Revised Universal Soil Loss Equation (RUSLE) in Katsina area, Katsina state of Nigeria using remote sensing (RS) and Geographic Information System (GIS). Iranica J. Energy Environ. 1(3), 255–264 (2010)

    Google Scholar 

  2. Adinarayana, J., Rao, K.G., Krishna, N.R., Venkatachalam, P., Suri, J.K.: A rule-based soil erosion model for a hilly catchment. CATENA 37, 309–318 (1999)

    Article  Google Scholar 

  3. Al-Quraishi, A.M.F.: Soil erosion risk prediction with RS and GIS for the northwestern part of Hebei Province, China. Pak. J. Appl. Sci. 3(10–12), 659–666 (2003)

    Article  Google Scholar 

  4. Bonilla, C.A., Reyes, J.L., Magri, A.: Water erosion prediction using the revised universal soil loss equation (RUSLE) in a GIS frame work, central Chile. Chil. J. Agric. Res. 70(1), 159–169 (2010)

    Article  Google Scholar 

  5. Dabral, P.P., Baithuri, N., Pandey, A.: Soil erosion assessment ina hilly catchment of North Eastern India using USLE, GIS and remote sensing. Water Resour. Manage 22, 1783–1798 (2008)

    Article  Google Scholar 

  6. Desmet, P.J., Govers, G.: A GIS procedure for automatically calculating the USLE LS on topographically complex landscape units. J. Soil Water Conserv. 51, 427–433 (1996)

    Google Scholar 

  7. Erdogan, E.H., Erpul, G., Bayramin, I.: Use of USLE/GIS methodology for predicting soil loss in a semiarid agricultural environment. Environ. Monit. Assess. 131, 153–161 (2007)

    Article  Google Scholar 

  8. Hoyos, N.: Spatial modeling of soil erosion potential in a tropical watershed of the Colombian Andes. Catena 63(1), 85–108. IEEE Xplore. 3, 47–50 (2005)

    Article  Google Scholar 

  9. Jose, S.K.: Varghese, A., Kumar, S., Madhu, G., Rakhi, C., Sreekala, T.K.: Soil erosion modeling using GIS and remote sensing. A case study of Shendurney Wildlife sanctuary Southern Western Ghats, Kerala. Ecol. Environ. Conserv. 4 (2011)

    Google Scholar 

  10. Lee, S.: Soil erosion assessment and its verification using the universal soil loss equation and geographic information system: a case study at Boun, Korea. Environ. Geol. 45, 457–465 (2004)

    Article  Google Scholar 

  11. Lin, C.Y., Lin, W.T., Chou, W.C.: Soil erosion prediction and sediment yield estimation: the Taiwan experience. Soil Tillage Res. 68, 143–152 (2002)

    Article  Google Scholar 

  12. MacDonald, D., Crabtree, J.R., Wiesinger, G., Dax, T., Stamou, N., Fleury, P., Gutierrez Lazpita, J., Gibon, A.: Agricultural abandonment in mountain areas of Europe: environmental consequences and policy response. J. Environ. Manag. 59, 47–69 (2000)

    Article  Google Scholar 

  13. Mati, B.M.: Assessment of erosion hazard with USLE and GIS—a case study of the upper Ewaso Ng’iro basin of Kenya. Int. J. Appl. Earth Obs. Geoinf. 2, 78–86 (2000)

    Article  Google Scholar 

  14. Merritt, W.S., Letcher, R.A., Jakeman, A.J.: A review of erosion and sediment transport models. Environ. Model. Softw. 18, 761–799 (2013)

    Article  Google Scholar 

  15. Mitasova, H., Mitas, L.: Modeling Soil Detachment with RUSLE 3d Using GIS. University of Illinois at Urbana-Champaign (1999)

    Google Scholar 

  16. Morgani, R.P.C., Quintoni, J.N., Smith, R.E., Govers, G., Poesen, J.W.A., Auerswald, K., Chisci, G., Torri, D., Styczen, M.E.: The European soil erosion model (EUROSEM): a dynamic approach for predicting sediment transport from fields and small catchments. Earth Surf. Process Landf. 23, 527–544 (1998)

    Article  Google Scholar 

  17. Nearing, M.A., Foster, G.R., Lane, L.J., Finkner, S.C.: A process-based soil erosion model for USDA-water erosion prediction project technology. Trans. ASAE 32, 1587–1593 (1989)

    Article  Google Scholar 

  18. Pandey, A., Chowdary, V.M., Mai, B.C.: Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resour. Manag. 21, 729–746 (2007)

    Article  Google Scholar 

  19. Paul, E., Glover, E.T., Yeboah, S., Adjei-Kyereme, Y., Yawo, I.N.D., Nyarku, M., Asumadu-Sakyi, G.S., Gbeddy, G.K., Agyiri, Y.A., Ameho, E.M., Aberikae, E.A.: Rainfall Erosivity Index for the Ghana Atomic Energy Commission site. Springer Plus vol. 5, p. 465. https://doi.org/10.1186/s40064-016-2100-1 (2016)

  20. Pradhan, B., Chaudhary, A., Adinarayana, J., Buchroithner, M.F.: Soil erosion assessment and its correlation with landslide events using remote sensing data and GIS: a case study at Penang Island, Malaysia. Environ. Monit. Assess. 184, 715–727 (2012)

    Article  Google Scholar 

  21. Prasannakumar, V., Vijith, H., Abinod, S., Geetha, N.: Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology. Geosci. Front. 3(2), 209–215 (2012)

    Article  Google Scholar 

  22. Reddy, R.S., Nalatwadmath, S.K., Krishnan, P.: Soil erosion Andhra Pradesh NBSS Publ. No. 114, NBSS&LUP, Nagpur, 76pp (2005)

    Google Scholar 

  23. Parveen, Reshma, Kumar, Uday: Integrated approach of universal soil loss equation (USLE) and geographical information system (GIS) for soil loss risk assessment in Upper South Koel Basin, Jharkhand. J. Geogr. Inf. Syst. 4, 588–596 (2012)

    Google Scholar 

  24. Schwab, G.O., Frevert, R.K., Edminster, T.W., Barnes, K.K.: Soil Water Conservation Engineering, 3rd edn. Wiley, New York (1981)

    Google Scholar 

  25. Sezgin, H.: Determination of soil erosion in a steep hill slope with different land-use types: a case study in Mertesdorf (Ruwertal/Germany). J. Environ. Biol. 28(2), 433–438 (2007)

    Google Scholar 

  26. Sharama, J.C., Sharma, K.R.: Land use planning RS&GIS-a case study in Kawal Khad watershed in Himachal Pradesh. Indian J. Soil Conserv. 31(2) (2002)

    Google Scholar 

  27. Sharda, V.N., Mandal, D.: Priority classes for erosion risk areas in different states and regions of India. Bulletin no. T-58/-37. Central Soil and Water Conservation Research and Training Institute, Dehradun, p. 172 (2011)

    Google Scholar 

  28. Singh, R., Phadke, V.S.: Assessing soil loss by water erosion in Jamni river basin, Bundelkhand region, India, adopting universal soil loss equation using GIS. Curr. Sci. 90, 1431–1435 (2006)

    Google Scholar 

  29. Temesgen, B., Mohammed, M.U., Korme, T.: Natural hazard assessment using GIS and remote sensing methods, with particular reference to the landslides in the Wondogenetarea, Ethiopia. Phys. Chem. Earth Part C Solar Terr. Planet. Sci. 26, 665–675 (2001)

    Google Scholar 

  30. Veihe, A., Rey, J., Quinton, J.N., Strauss, P., Sancho, F.M., Somarriba, M.: Modelling of event-based soil erosion in Costa Rica, Nicaragua and Mexico: evaluation of the EUROSEM model. CATENA 44, 187–203 (2001)

    Article  Google Scholar 

  31. Wischmeier, W.H., Smith, D.D.: Predicting rainfall erosion losses—a guide to conservation planning. Agriculture Handbook No. 537. US Department of Agriculture Science and Education Administration, Washington, DC, USA, p. 163 (1978)

    Google Scholar 

  32. Yada, R.K., Yadav, D.S., Rai, N., Sanwal, S.K.: Soil and water conservation through horticultural intervension in hilly areas. ENVIS Bull. Himalayan Ecol. 14(1), 4–13 (2006)

    Google Scholar 

  33. Yahya, F., Dalal, Z., Ibrahim, F.: Spatial estimation of soil erosion risk using USLE approach, RS, and GIS techniques: a case study of Kufranja Watershed, Northern Jordan. J. Water Resour. Prot. 5, 1247–1261 (2013)

    Article  Google Scholar 

  34. Yuan, J., Liang, Y., Cao, L.: Preliminary study on mechanics-based rainfall kinetic energy. Int. Soil Water Conserv. Res. 2(3), 67–73 (2014)

    Google Scholar 

  35. Yue-qing, X., Jian, P., Xiao-mei, S.: Assessment of soil erosion using RUSLE and GIS: a case study of the Maotiao River watershed, Guizhou Province, China. Environ. Geol. 56, 1643–1652 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ramprasad Naik Desavathu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Desavathu, R.N., Rao, P.J. (2019). Soil Erosion Assessment of Hilly Terrain of Paderu Using USLE and GIS. In: Rao, P., Rao, K., Kubo, S. (eds) Proceedings of International Conference on Remote Sensing for Disaster Management. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-319-77276-9_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-77276-9_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77275-2

  • Online ISBN: 978-3-319-77276-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics