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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
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
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):73-89
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
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:255-339
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
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
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.
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.
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 Publications
Jha VC, Kapat S (2011) Degraded lateritic soils cape and land uses in Birbhum district, West Bengal, India. Revista Sociedade and Natureza 23(3):545–556
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
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
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.
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
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
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):C6014005
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
Shit PK, Bhunia GS, Maiti R (2014) Morphology and development of selected Badlands in South Bengal (India). Indian Journal of Geography and Environment 13:161-171
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):121-131
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
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
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):315-325
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
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:1-161
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Bera, A., Mukhopadhyay, B.P., Biswas, S. (2020). Assessment of Gully Erosion and Estimation of Sediment Yield in Siddheswari River Basin, Eastern India, Using SWAT Model. 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_17
Download citation
DOI: https://doi.org/10.1007/978-3-030-23243-6_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-23242-9
Online ISBN: 978-3-030-23243-6
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)