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Assessment of Gully Erosion and Estimation of Sediment Yield in Siddheswari River Basin, Eastern India, Using SWAT Model

  • Amit BeraEmail author
  • Bhabani Prasad Mukhopadhyay
  • Swagata Biswas
Chapter
Part of the Advances in Science, Technology & Innovation book series (ASTI)

Abstract

Gullies are widened rills and are a manifestation of soil erosion. Adverse impact of natural agents and anthropogenic exploitation brings about significant changes in surface soil and degrades its quality subsequently leading to erosion. Siddheswari basin is a soil erosion-prone region heavily cross-cut by gullies. For this study area, SWAT model has been selected. SWAT is a physically based model used for sediment yield analysis and hydrology modelling. SWAT model uses information derived from remotely sensed data like climate, soil, land use/land cover and Digital Elevation Model (DEM). For SWAT modelling, the entire basin was subdivided into five sub-basins. The outcome results show that maximum sediment yield took place in the year 2011 which was 851.521 t/ha and the following year simultaneously showed a high rate of precipitation and runoff (7207.619 mm). Predicted average annual soil loss and gully erosion susceptibility map of Siddheswari river basin has been classified into three categories according to the intensity of soil loss. Under limited availability of input data, SWAT paired with GIS proves to be an effective tool for simulation and quantitative analysis. The obtained results will be useful for planning of mitigation measures and soil and water conservation and management.

Keywords

SWAT Simulation Sediment yield Surface runoff Siddheswari basin 

Notes

Acknowledgements

The authors are thankful to the Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO) and Indian Meteorological Department (IMD) for continuous support during the work. We are thankful to Dr. Pravat Kumar Shit (Editor, Gully erosion studies from India and surrounding regions) for suggesting modifications, which improved our manuscript. The authors also extend their thanks to anonymous reviewers for the valuable comments and suggestions.

References

  1. Allen PM, Arnold JG, Auguste L, White J, Dunbar J (2018) Application of a simple headcut advance model for gullies. Earth Surface Processes and Landforms, 43(1), 202-217.  https://doi.org/10.1002/esp.4233 CrossRefGoogle Scholar
  2. Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment part I: model development. Journal of the American Water Resources Association 34(1):73-89CrossRefGoogle Scholar
  3. Bastola S, Dialynas YG, Bras RL, Noto LV, Istanbulluoglu E (2018) The role of vegetation on gully erosion stabilization at a severely degraded landscape: A case study from Calhoun Experimental Critical Zone Observatory. Geomorphology 308:25-39.  https://doi.org/10.1016/j.geomorph.2017.12.032 CrossRefGoogle Scholar
  4. Brice JC (1966) Erosion and deposition in the loess-mantled Great Plains, Medicine Creek drainage basin, Nebraska. U.S. Geol. Survey Prof. Paper 352-H:255-339Google Scholar
  5. Debanshi S, Pal S (2018) Assessing gully erosion susceptibility in Mayurakshi river basin of eastern India. Environment, Development and Sustainability 1-32.  https://doi.org/10.1007/s10668-018-0224-x
  6. Duru U, Arabi M, Wohl EE (2018) Modeling stream flow and sediment yield using the SWAT model: a case study of Ankara River basin, Turkey. Physical Geography 39(3):264-289.  https://doi.org/10.1080/02723646.2017.1342199 CrossRefGoogle Scholar
  7. Ghosh, K. G., & Saha, S. (2015). Identification of soil erosion susceptible areas in Hinglo river basin, eastern India based on geo-statistics. Universal Journal of Environmental Research and Technology, 5(3), 152–164.Google Scholar
  8. Ghosh, S., & Guchhait, S. K. (2015). Characterization and evolution of laterites in West Bengal: Implication on the geology of northwest Bengal Basin. Transactions, 37(1), 93-119.Google Scholar
  9. Jha, V. C., & Kapat, S. (2003). Gully erosion and its implications on land use: A case study of Dumka block, Dumka district, Jharkhand. In V. C. Jha (Ed.), Land degradation and desertification (pp. 156–178). Jaipur: Rawat PublicationsGoogle Scholar
  10. Jha VC, Kapat S (2011) Degraded lateritic soils cape and land uses in Birbhum district, West Bengal, India. Revista Sociedade and Natureza 23(3):545–556CrossRefGoogle Scholar
  11. Li T, Gao Y (2015) Runoff and sediment yield variations in response to precipitation changes: A case study of Xichuan watershed in the loess plateau, China. Water 7(10):5638-5656.  https://doi.org/10.3390/w7105638 CrossRefGoogle Scholar
  12. Mosbahi M, Benabdallah S, Boussema MR (2013) Assessment of soil erosion risk using SWAT model. Arabian Journal of Geosciences 6(10): 4011-4019.  https://doi.org/10.1007/s12517-012-0658-7 CrossRefGoogle Scholar
  13. Nachtergaele F, van Velthuizen H, Verelst L, Batjes N, Dijkshoorn K, Van Engelen V, … & Prieler S (2009) Harmonized world soil database (version 1.1). FAO, Rome, Italy & IIASA, Laxenburg, Austria.Google Scholar
  14. Pal S, Debanshi S (2018) Influences of soil erosion susceptibility toward overloading vulnerability of the gully head bundhs in Mayurakshi River basin of eastern Chottanagpur Plateau. Environment, Development and Sustainability 1-37.  https://doi.org/10.1007/s10668-017-9963-3 CrossRefGoogle Scholar
  15. Phuong TT, Thong CVT, Ngoc NB, Chuong HV (2014) Modeling Soil Erosion within Small Moutainous Watershed in Central Vietnam Using GIS and SWAT. Resources and Environment 4(3): 139-147.  https://doi.org/10.5923/j.re.20140403.02 CrossRefGoogle Scholar
  16. Prabhanjan A, Rao EP, Eldho TI (2015) Application of SWAT model and geospatial techniques for sediment-yield modeling in ungauged watersheds. Journal of Hydrologic Engineering 20(6):C6014005CrossRefGoogle Scholar
  17. Shen ZY, Gong YW, Li YH, Hong Q, Xu L, Liu RM (2009) A comparison of WEPP and SWAT for modeling soil erosion of the Zhangjiachong Watershed in the Three Gorges Reservoir Area. Agricultural Water Management 96(10):1435-1442.  https://doi.org/10.1016/j.agwat.2009.04.017 CrossRefGoogle Scholar
  18. Shit PK, Bhunia GS, Maiti R (2014) Morphology and development of selected Badlands in South Bengal (India). Indian Journal of Geography and Environment 13:161-171Google Scholar
  19. Shit PK, Bhunia GS, Maiti R (2016) An experimental investigation of rill erosion processes in lateritic upland region: A pilot study. Eurasian Journal of Soil Science 5(2):121-131Google Scholar
  20. Singh A, Imtiyaz M, Isaac RK, Denis DM (2012) Comparison of soil and water assessment tool (SWAT) and multilayer perceptron (MLP) artificial neural network for predicting sediment yield in the Nagwa agricultural watershed in Jharkhand, India. Agricultural Water Management 104:113-120.  https://doi.org/10.1016/j.agwat.2011.12.005 CrossRefGoogle Scholar
  21. Sisay E, Halefom A, Khare D, Singh L, Worku T (2017) Hydrological modelling of ungauged urban watershed using SWAT model. Modeling Earth Systems and Environment 3(2):693-702.  https://doi.org/10.1007/s40808-017-0328-6 CrossRefGoogle Scholar
  22. Srinivasan R, Arnold JG, Jones CA (1998) Hydrologic modelling of the United States with the soil and water assessment tool. International Journal of Water Resources Development 14(3):315-325CrossRefGoogle Scholar
  23. Sutradhar H (2018) Surface Runoff Estimation Using SCS-CN Method in Siddheswari River Basin, Eastern India. Journal of Geography, Environment and Earth Science International 1-9.  https://doi.org/10.9734/JGEESI/2018/44076 CrossRefGoogle Scholar
  24. Yang W, Liu Y, Simmons J, Oginskyy A, McKague K (2013) SWAT Modelling of Agricultural BMPs and Analysis of BMP Cost Effectiveness in the Gully Creek Watershed. University of Guelph, Guelph, Ontario. xi:1-161Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Amit Bera
    • 1
    Email author
  • Bhabani Prasad Mukhopadhyay
    • 1
  • Swagata Biswas
    • 1
  1. 1.Department of Earth SciencesIndian Institute of Engineering Science and TechnologyShibpurIndia

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