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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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Int.J.Curr.Microbiol.App.Sci.2018.7(10): 879-886
DOI: https://doi.org/10.20546/ijcmas.2018.710.097


Runoff and Sediment Yield Estimation by SWAT Model: Review and Outlook
Vasantgouda Roti*, P.S. Kashyap, Anilkumar, R.K. Srivastava and Harish Chandra
Govind Ballabh Pant University of Agriculture and Technology, (GBPUA&T), Pantnagar, India
*Corresponding author
Abstract:

For accurate and easy estimation of runoff and sediment yield can be done by using physical based continuous hydrological model. Among the many hydrological model Soil and Water Assessment Tool (SWAT) is the more promising model for simulations in predominant agricultural watershed. Moreover the model is better in assessing both spatial and temporal variability of the hydrological process under very large watershed. The present paper provides the methodology used by the SWAT for calculation of runoff and sediment yield. During model setup input data required by the model, sensitivity parameter analysis, calibration and validation are discussed in detail. In sensitivity analysis in case of stream flow simulation, parameters such as initial SCS Runoff curve number for moisture condition II (CN2), Base flow alpha factor (ALPHA_BF), Groundwater delay time (GW_DELAY), Threshold depth of water in the shallow aquifer required for return flow to occur (GWQMN) and Surface runoff lag coefficient (SURLAG), etc., which significantly impact the discharge simulation.


Keywords: Modeling, SWAT model, Runoff, Sediment yield calibration and validation
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How to cite this article:

Vasantgouda Roti, P.S. Kashyap, Anilkumar, R.K. Srivastava and Harish Chandra. 2018. Runoff and Sediment Yield Estimation by SWAT Model: Review and Outlook.Int.J.Curr.Microbiol.App.Sci. 7(10): 879-886. doi: https://doi.org/10.20546/ijcmas.2018.710.097