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


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.


SWAT Simulation Sediment yield Surface runoff Siddheswari basin 



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.


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© 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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