Skip to main content
SpringerLink
Log in

Estimation of Erosion Susceptibility and Sediment Yield in Ephemeral Channel Using RUSLE and SDR Model: Tropical Plateau Fringe Region, India

  • Chapter
  • First Online:
Gully Erosion Studies from India and Surrounding Regions

Part of the book series: Advances in Science, Technology & Innovation ((ASTI))

Abstract

Soil erosion susceptibility and huge sedimentation are the major problems in plateau fringe basin under tropical monsoon climate. Ephemeral channel plays a dominant role in a linkage between erosion and sediment deposition in the plateau fringe basin. The objective of this study is to estimate the spatial distribution of potential mean soil erosion (PMSE) rate and gross volume of sediment yield (SY) along with sediment delivery ratio (SDR) in ephemeral outlets at sub-basin scale in Kangsabati basin, situated under Chota Nagpur plateau, India, using coupling models of Revised Universal Soil Loss Equation (RUSLE) and SDR. The models estimated that there is a maximum PMSE (226 t ha−1 year−1 ) occurrence in upper basin along with high mean SY (32 t ha−1 year−1), whereas lower basin has PMSE (74 t ha−1 year−1) with low SY deposition (13.23 t ha−1 year−1). According to sub-basin scale, most of the SY correspondence with PMSE occurs in Khatra-1 (10.22 t ha−1 year−1) and Lalgarh-4 sub-basin (7.2 t ha−1 year−1) out of 27 sub-basins. The result indicates that PMSE is positively significantly correlated with SY (R 2 = 0.975) following RUSLE parameters like rainfall erosivity, soil erodibility, slope factor, land cover management, and conservation practice, whereas the role of SDR on SY is determined by basin area and travel time. In spite of model parameters, first stream number (R 2 = 0.895) and basin length (R 2 = 0.88) positively signify on SY through enhancing the erosion parameters. Gradient ratio positively signifies on SDR (R 2 = 0.674) and also determines the role of SDR on SY which controlled the travel time and basin parameter. Therefore, several geo-environmental parameters govern the sediment deposition in plateau fringe basin.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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

References

  • Aiello A, Adamo M, Canora F (2015) Remote sensing and GIS to assess soil erosion with RUSLE3D and USPED at river basin scale in southern Italy. Catena, 131, 174–185

    Article  Google Scholar 

  • Arnold J, G Williams J R & Maidment D R (1995) Continuous-time water and sediment-routing model for large basins. Journal of Hydraulic engineering, 121(2), 171–183

    Google Scholar 

  • Bagherzadeh A, Daneshvar M R M (2013) Evaluation of sediment yield and soil loss by the MPSIAC model using GIS at Golestan watershed, northeast of Iran. Arabian Journal of Geosciences, 6(9), 3349–3362

    Article  Google Scholar 

  • Bakker M M, Govers G, van Doorn A, Quetier F, Chouvardas D, Rounsevell M (2008) The response of soil erosion and sediment export to land-use change in four areas of Europe: the importance of landscape pattern. Geomorphology, 98(3–4), 213–226

    Article  Google Scholar 

  • Bao J, Maidment D, Olivera F (1997) Using GIS for hydrologic data-processing and modeling in Texas. Center for Research in Water Resources, Texas

    Google Scholar 

  • Bhattarai R, Dutta D (2006) Estimation of soil erosion and sediment yield using GIS at catchment scale. Water Resources Management, 21(10), 1635–1647

    Article  Google Scholar 

  • Boyce R C (1975) Sediment routing with sediment delivery ratios. Present and prospective technology for predicting sediment yields and sources, 61–65

    Google Scholar 

  • Corbitt R A (1990) Standard handbook of environmental engineering

    Google Scholar 

  • Cox C, Madramootoo C (1998) Application of geographic information systems in watershed management planning in St. Lucia. Computers and Electronics in Agriculture, 20(3), 229–250

    Article  Google Scholar 

  • Dabral P P, Baithuri N, Pandey A (2008) Soil erosion assessment in a hilly catchment of North Eastern India using USLE, GIS and remote sensing. Water Resources Management, 22(12), 1783–1798

    Article  Google Scholar 

  • Dai D and Y Tan (1996) Soil erosion and sediment yield in the Upper Yangtze River Basin. Pp. 191–203. 111: Proceedings of the Exeter Symposium Erosion and Sediment Yield Global and Regional Perspectives, International Association of Hydrological Sciences Publication 236

    Google Scholar 

  • Desmet PJ1 and G Govers (1996) A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units. Journal of Soil and Water Conservation 51 (5):427–433

    Google Scholar 

  • Dissanayake D M S L B, Morimoto T, Ranagalage M (2018) Accessing the soil erosion rate based on RUSLE model for sustainable land use management: A case study of the Kotmale watershed, Sri Lanka. Modeling Earth Systems and Environment, 1–16

    Google Scholar 

  • Fernandez C, Wu J Q, McCool D K, Stöckle C O (2003) Estimating water erosion and sediment yield with GIS, RUSLE, and SEDD. Journal of Soil and Water Conservation, 58(3), 128–136

    Google Scholar 

  • Fernandez-Raga M, Palencia C, Keesstra S, Jordan A, Fraile R, Angulo-Martinez M & Cerda A (2017) Splash erosion: a review with unanswered questions. Earth-Science Reviews, 171, 463–477

    Google Scholar 

  • Ferro V, Minacapilli M (1995) Sediment delivery processes at basin scale. Hydrological Sciences Journal, 40(6), 703–717

    Article  Google Scholar 

  • Ferro V, Porto P (2000) Sediment delivery distributed (SEDD) model. Journal of hydrologic engineering, 5(4), 411–422

    Article  Google Scholar 

  • Foster GR and WH Wischmeier (1974) Evaluating irregular slopes for soil loss prediction. Transactions of the American Society of Agricultural Engineers 17(2):305–309

    Google Scholar 

  • Ganasri B P, Ramesh H (2016) Assessment of soil erosion by RUSLE model using remote sensing and GIS-A case study of Nethravathi Basin. Geoscience Frontiers, 7(6), 953–961

    Article  Google Scholar 

  • Ghosh D (2015) Mapping and monitoring of the impact of gully erosion in the district of Medinipur (West), West Bengal, India. International Journal of Novel Research in Humanity and. Soc Sci 2(4):73–89

    Google Scholar 

  • Haan C T, Barfield B J, Hayes J C (1994) Design hydrology and sedimentology for small catchments. Elsevier

    Google Scholar 

  • Hirzel A H, Le Lay G, Helfer V, Randin C, Guisan A (2006) Evaluating the ability of habitat suitability models to predict species presences; Ecol Model, 199(2), 142–152

    Article  Google Scholar 

  • Jain M K, Kothyari U C (2000) Estimation of soil erosion and sediment yield using GIS. Hydrological Sciences Journal, 45(5), 771–786

    Article  Google Scholar 

  • Jain SK, Kumar S, Varghese J (2001) Estimation of soil erosion for a Himalayan watershed using GIS technique. Water Resources Management, 15(1), pp. 41–54

    Article  Google Scholar 

  • Jordan G, Van Rompaey A, Szilassi P, Csillag G, Mannaerts C, Woldai T (2005) Historical land use changes and their impact on sediment fluxes in the Balaton basin (Hungary). Agriculture, ecosystems & environment, 108(2), 119–133

    Article  Google Scholar 

  • Julien PY (2010) Erosion and sedimentation. Cambridge University Press

    Google Scholar 

  • Kothyari U C, Jain S K (1997) Sediment yield estimation using GIS. Hydrol. Sci. J. 42(6), 833–843

    Article  Google Scholar 

  • Lim K J, Sagong M, Engel B A, Tang Z, Choi J, Kim K S (2005) GIS-based sediment assessment tool. Catena, 64(1), 61–80

    Article  Google Scholar 

  • Lu H, Moran C J, Prosser I P (2006) Modelling sediment delivery ratio over the Murray Darling Basin. Environmental Modelling & Software, 21(9), 1297–1308

    Article  Google Scholar 

  • Magesh N S, Chandrasekar N (2016) Assessment of soil erosion and sediment yield in the Tamiraparani sub-basin, South India, using an automated RUSLE-SY model. Environmental Earth Sciences, 75(16), 1208

    Article  Google Scholar 

  • Mahala A (2018) Soil erosion estimation using RUSLE and GIS techniques—a study of a plateau fringe region of tropical environment; Arab J Geosci, 11(13), 335

    Article  Google Scholar 

  • Markhi A, Laftouhi N, Grusson Y, Soulaimani A (2019) Assessment of potential soil erosion and sediment yield in the semi-arid N’ fis basin (High Atlas, Morocco) using the SWAT model. Acta Geophysica, 67(1), 263–272

    Article  Google Scholar 

  • Markose V J, Jayappa K S (2016) Soil loss estimation and prioritization of sub-watersheds of Kali River basin, Karnataka, India, using RUSLE and GIS. Environmental monitoring and assessment, 188(4), 225.

    Article  Google Scholar 

  • McCool DK, LC Brown, GR Foster, CK Mutchler and LD Meyer (1987) Revised slope steepness factor for the Universal Soil Loss Equation. Transactions of the American Society of Agricultural Engineers 30(5): 1387–1396

    Google Scholar 

  • Mhangara P, Kakembo V, Lim K J (2012) Soil erosion risk assessment of the Keiskamma catchment, South Africa using GIS and remote sensing. Environmental Earth Sciences, 65(7), 2087–2102

    Article  Google Scholar 

  • Mitasova H, Barton M, Ullah I, Hofierka J, Harmon R S (2013) GIS-based soil erosion modeling. In Treatise on Geomorphology. Elsevier Inc

    Google Scholar 

  • Mittal N, Mishra A, Singh R, Bhave A G, van der Valk M (2014) Flow regime alteration due to anthropogenic and climatic changes in the Kangsabati River, India. Ecohydrology & Hydrobiology, 14(3), 182–191

    Article  Google Scholar 

  • Mondal S (2012) Remote sensing and GIS based ground water potential mapping of Kangshabati irrigation command area, West Bengal. Geography & Natural Disasters 1(1):1–8

    Google Scholar 

  • Mukhopadhyay S (1992) Terrain analysis of river basin, Vora publication, New Delhi

    Google Scholar 

  • Nasir N, Selvakumar R (2018) Influence of land use changes on spatial erosion pattern, a time series analysis using RUSLE and GIS: the cases of Ambuliyar sub-basin, India. Acta Geophys, 66(5), 1121–1130

    Article  Google Scholar 

  • Novotny V, Chesters G (1989) Delivery of sediment and pollutants from nonpoint sources: a water quality perspective. Journal of Soil and Water Conservation, 44(6), 568–576

    Google Scholar 

  • Ostovari Y, Ghorbani-Dashtaki S, Bahrami H A, Naderi M, Dematte J A M (2017) Soil loss prediction by an integrated system using RUSLE, GIS and remote sensing in semi-arid region. Geoderma Regional, 11, 28–36

    Article  Google Scholar 

  • Randhir T O, O’Connor R, Penner P R, Goodwin D W (2001) A watershed-based land prioritization model for water supply protection. Forest ecology and management, 143(1–3), 47–56

    Article  Google Scholar 

  • Renard KG (1997) Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation (RUSLE)

    Google Scholar 

  • Renard KG, Freimund JR (1994) Using monthly precipitation data to estimate the R-factor in the revised USLE. Journal of hydrology, 157(1–4), pp. 287–306

    Article  Google Scholar 

  • Richards KS (1993) Sediment delivery and drainage network. Channel network hydrology, pp. 221–254

    Google Scholar 

  • Sahaar AS (2013) Erosion mapping and sediment yield of the Kabul river basin, Afghanistan (Doctoral dissertation, Colorado State University)

    Google Scholar 

  • Samad N, Chauhdry M H, Ashraf M, Saleem M, Hamid Q, Babar U, Farid M S (2016) Sediment yield assessment and identification of check dam sites for Rawal Dam catchment. Arabian Journal of Geosciences, 9(6), 466

    Article  Google Scholar 

  • Shit P K, Nandi A S, Bhunia G S (2015) Soil erosion risk mapping using RUSLE model on Jhargram sub-division at West Bengal in India. Modeling Earth Systems and Environment, 1(3), 28

    Article  Google Scholar 

  • Thomas J, Joseph S, Thrivikramji K P (2018) Assessment of soil erosion in a monsoon-dominated mountain river basin in India using RUSLE-SDR and AHP. Hydrological Sciences Journal, 63(4), 542–560

    Article  Google Scholar 

  • UN-FAO (2001) Strategic Environmental Assessment: An Assessment of the Impact of Cassava Production and Processing on the Environment and Biodiversity. Volume 5.Rome. Italy

    Google Scholar 

  • USDA (1972) National Engineering Handbook. Soil Conservation Service, USDepartment Agriculture, Washington, DC, Section 3

    Google Scholar 

  • US Department of Agriculture-Soil Conservation Service (USDA-SCS) (1975) Urban hydrology for small watersheds. Technical Release No. 55. U.S. Department of Agriculture Soil Conservation Service, Washington, D.C

    Google Scholar 

  • Vanoni VA (1975) Sedimentation engineering, ASCE manuals and reports on engineering practice—No. 54. American Society of Civil Engineers, New York

    Google Scholar 

  • Williams JR and Berndt HD (1972) Sediment yield computed with universal equation. Journal of the Hydraulics Division, 98(Hy 12)

    Google Scholar 

  • Wischmeier WH (1960) Cropping-management factor evaluations for a universal soil-loss equation. Soil Science Society of America Journal, 24(4), pp. 322–326

    Article  Google Scholar 

  • Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses-a guide to conservation planning

    Google Scholar 

Download references

Acknowledgment

This manuscript is the part of my (Raj Kumar Bhattacharya) Ph.D. thesis (unpublished). We are thankful to Survey of India (SOI) and Irrigation Office of Paschim Medinipur and Bankura for providing the required data. Authors are also grateful to the anonymous reviewers for their valuable comments and suggestions to improve the quality of this chapter.

Author information

Authors and Affiliations

  1. Department of Geography and Environment Management, Vidyasagar University, Midnapore, West Bengal, India

    Raj Kumar Bhattacharya, Nilanjana Das Chatterjee & Kousik Das

Authors
  1. Raj Kumar Bhattacharya
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nilanjana Das Chatterjee
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kousik Das
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Geography, Raja N. L. Khan Women’s College (Autonomous), Medinipur, West Bengal, India

    Pravat Kumar Shit

  2. Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran

    Hamid Reza Pourghasemi

  3. Aarvee Associates Architects, Engineers & Consultants Pvt. Ltd, Hyderabad, India

    Gouri Sankar Bhunia

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bhattacharya, R.K., Chatterjee, N.D., Das, K. (2020). Estimation of Erosion Susceptibility and Sediment Yield in Ephemeral Channel Using RUSLE and SDR Model: Tropical Plateau Fringe Region, India. In: Shit, P., Pourghasemi, H., Bhunia, G. (eds) Gully Erosion Studies from India and Surrounding Regions. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-23243-6_10

Download citation

Publish with us

Policies and ethics

Search

Navigation