Hydrological modeling plays a crucial role in efficiently managing water resources and understanding the hydrologic behavior of watersheds. This study aims to simulate daily streamflow in the Godavari River Basin in Maharashtra using the Soil and Water Assessment Tool (SWAT). SWAT is a process-based hydrological model used to predict water balance components, sediment levels, and nutrient contamination. In this research, we used integrated remote sensing and GIS data, including Digital Elevation Models (DEM), land use and land cover (LULC) maps, soil maps, and observed precipitation and temperature data, as input for developing the SWAT model to assess surface runoff in this large river basin. The Godavari River Basin under study was divided into 25 sub-basins, comprising 151 hydrological response units categorized by unique land cover, soil, and slope characteristics using the SWAT model. The model was calibrated and validated against observed runoff data for two time periods: 2003-2006 and 2007-2010 respectively. Model performance was assessed using the Nash-Sutcliffe efficiency (NSE) and the coefficient of determination (R2). The results show the effectiveness of the SWAT2012 model, with R2 value of 0.84 during calibration and 0.86 during validation. NSE values also ranged from 0.84 during calibration to 0.85 during validation. These findings enhance our understanding of surface runoff dynamics in the Godavari River Basin under study and highlight the suit-ability of the SWAT model for this region.
References
[1]
Setegn, S.G. and Donoso, M.C. (2015) Sustainability of Integrated Water Resources Management. Springer, Cham.
[2]
Satheesh, B. and Ashwini, B. (2020) SWAT Based Rainfall—Runoff Modeling of Upper Godavari Basin, India. Roorkee Water Conclave 2020, Roorkee, 26-28 February 2020.
[3]
Akoko, G., Le, T.H., Gomi, T. and Kato, T. (2021) A Review of SWAT Model Application in Africa. Water, 13, 1313. https://doi.org/10.3390/w13091313
[4]
Arnold, J.G., Srinivasan, R., Muttiah, R.S. and Williams, J.R. (2007) Large Area Hydrologic Modeling and Assessment Part I: Model Development. Journal of the American Water Resources Association, 34, 73-89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
[5]
Kurbah, S. and Jain, M.K. (2017) Rainfall-Runoff Modeling of a River Basin using SWAT Model. International Journal of Engineering Research & Technology, 6.
[6]
Neitsch, S.L., Arnold, J., Kiniry, J., Williams, J. and King, K. (2005) Soil and Water Assessment Tool Theoretical Documentation Version.
[7]
Gassman, P.W., Sadeghi, A.M. and Srinivasan, R. (2014) Applications of the SWAT Model Special Section: Overview and Insights. Journal of Environmental Quality, 43, 1-8. https://doi.org/10.2134/jeq2013.11.0466
[8]
Kim, N.W. and Lee, J.W. (2010) Enhancement of the Channel Routing Module in SWAT. Hydrological Processes, 24, 96-107. https://doi.org/10.1002/hyp.7474
[9]
NBSS & LUP Annual Report (2016) National Bureau of Soil Survey and Land Use Planning (I.C.A.R.), Nagpur.
[10]
Saraf, V.R. and Regulwar, D.G. (2018) Impact of Climate Change on Runoff Generation in the Upper Godavari River Basin, India. Journal of Hazardous, Toxic, and Radioactive Waste, 22. https://doi.org/10.1061/(ASCE)HZ.2153-5515.0000416
[11]
Abbaspour, K.C., Rouholahnejad, E., et al. (2015) A Continental-Scale Hydrology and Water Quality Model for Europe: Calibration and Uncertainty of a High-Resolution Large-Scale SWAT Model. Journal of Hydrology, 524, 733-752. https://doi.org/10.1016/j.jhydrol.2015.03.027
