Validation of SWAT Model for Prediction of Water Yield and Water Balance: Case Study of Upstream Catchment of Jebba Dam in Nigeria
Authors: Adeniyi G. Adeogun, Bolaji F. Sule, Adebayo W. Salami, Michael O. Daramola
Abstract:
Estimation of water yield and water balance in a river catchment is critical to the sustainable management of water resources at watershed level in any country. Therefore, in the present study, Soil and Water Assessment Tool (SWAT) interfaced with Geographical Information System (GIS) was applied as a tool to predict water balance and water yield of a catchment area in Nigeria. The catchment area, which was 12,992km2, is located upstream Jebba hydropower dam in North central part of Nigeria. In this study, data on the observed flow were collected and compared with simulated flow using SWAT. The correlation between the two data sets was evaluated using statistical measures, such as, Nasch-Sucliffe Efficiency (NSE) and coefficient of determination (R2). The model output shows a good agreement between the observed flow and simulated flow as indicated by NSE and R2, which were greater than 0.7 for both calibration and validation period. A total of 42,733 mm of water was predicted by the calibrated model as the water yield potential of the basin for a simulation period between 1985 to 2010. This interesting performance obtained with SWAT model suggests that SWAT model could be a promising tool to predict water balance and water yield in sustainable management of water resources. In addition, SWAT could be applied to other water resources in other basins in Nigeria as a decision support tool for sustainable water management in Nigeria.
Keywords: GIS, Modeling, Sensitivity Analysis, SWAT, Water Yield, Watershed level.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1090581
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 5048References:
[1] A. Fadil, H. Rhinane, A. Kaoukaya, Y. Kharchaf, and O. A. Bachir. "Hydrologic Modeling of the Bouregreg Watershed (Morocco) Using GIS and SWAT Model” Journal of Geographic Information System vol 3, 2011, pp279-289
[2] N. K. Shrestha, P. C Shakti, P. Gurung "Calibration and Validation of SWAT Model for Low Lying Watersheds: A Case Study on the Kliene Nete Watershed”, Belgium. HYDRO Nepal Volume 1,2010, pp 47-51
[3] N. Omani, M. Tajrishy and A. Abrishamchi "Modeling of a River Basin Using SWAT Model and SUFI-2”. 4th International Conference of SWAT Model UNESCO-IHE Delft, Netherlands July 4-6 2007
[4] S. L Neitsch, J. G Arnold, J. R Kiniry, J. R Williams "Soil and Water Assessment Tool Theoretical Documentation Version 2005. Grassland, Soil and Water Research Laboratory, Agricultural Research Service 808 East Blackland Road, Temple, Texas 76502;Blackland Research Centre, Texas Agricultural Experiment Station 720,East Blackland, Texas USA
[5] Hydrological Report and Documentation 2012, Jebba Hydro Electric Power Authority, Jebba, Nigeria ( unpublished)
[6] J. G. Arnold, J. R. Williams and D. R. Maidme "Continuous-time water and sediment-routing model for large basins”. Journal of Hydraulic Engineering, Vol.121, No 2, 1995 pp 171-183.
[7] L. F. Leon " Map Window Interface for SWAT (MWSWAT)” version 2, 2011, available at http://www.waterbase.org/documents.html, accessed on 4th April, 2014
[8] CGIAR SRTM 90m Digital Elevation Data (2012) http://srtm.csi.cgiar.org/, Accessed on 4th April, 2013
[9] S. G Setegn, R. Srinivasan and B. Dargahi "Hydrological Modelling in the Lake Tana Basin, Ethiopia Using SWAT Model”. The Open Hydrology Journal Vol.2, 2008, pp 49-62
[10] Global Land Cover Classification Database, available at http://edc2.usgs.gov/glcc/glcc.php accessed on 3rd May,2013
[11] F. Nachtergaele, H. V. Velthuizen and L.Verelst.” Harmonized World Soil Database (HWSD). Food and Agri-culture Organization of the United Nations, Rome available at www.fao.org/nr/water/docs/harm-world-soil-dbv7cv.Pdf
[12] J. Schuol and K.C.Abbaspour "Using monthly weather statistics to generate daily data in a SWAT model application to West Africa”. Ecological Modeling Vol. 201, 2007, pp 301-311.
[13] A. Stehr, P. Debels, F. Romero and H. Alcayaga "Hydrological modelling with SWAT under conditions of limited data availability: evaluation of results from a Chilean case study” Hydrological Sciences–Journal–des Sciences Hydrolgiques, Vol.53,Number 3, 2008,pp 588-601.
[14] D. N. Moriasi, J. G Arnold, M. W. Van Liew, R. L Bingner, Harmel, R. D., and T. L. Veith, "Model evaluation guidelines for systematic quantification of accuracy in watershed simulations”, T. ASABE, Vol 50,2007 pp 885–900.
[15] S. K. Jain, J. Tyagi and V. Singh. "Simulation of Runoff and Sediment Yield for a Himalayan Watershed Using SWAT Model”. Water Resources and Protection Volume 2, 2010, pp267-281.
[16] J. G. Arnold, J. R. Kiniry, R. Srinivasan, J. R. Williams, E. B. Haney, and S. L. Neitsch "Soil and Water Assessment Tool Input Output File Documentation”. Soil and Water Research Laboratory, Agricultural Research Service, Grassland, 808 East Black land Road, Temple, Texas 2011.
[17] J. G. Arnold, D. N. Moriasi, P. W. Gassman, K. C. Abbaspour, M. J. White, R. Srinivasan, C. Santhi, R. D. Harmel A.van Griensven ,M. W. Van Liew, N. Kannan ,J.M.Jha "SWAT: Model Use, Calibration and Validation”. Transactions of the American Society of Agricultural and Biological Engineers Volume 55, Issue, 2012, pp 1491-1508.
[18] K. K. Sathian and P. Syamala "Application of GIS integrated SWAT model for basin level water balance”, available at: http://www.csre.iitb.ac.in/~csre/conf/wp-content/uploads/fullpapers/ OS5/0S5_15.pdf.