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Modeling of river discharge in the Firoozabad watershed using soil and water assessment tool model

  • S. M. Ali Zomorodian
  • Sepideh Dowlatabadi
Original Article
  • 41 Downloads

Abstract

Iran is one of the arid and semi-arid countries of the world where water supply has become a major concern in it. In recent years, the management of the country basins is proposed as an effective solution for the optimal use of water resources. Therefore, this study focuses on this subject and the hydrological simulation of the basin is believed to be an ideal solution. In this regard, this research was applied from the Soil and Water Assessment Tool for the hydrological simulation of Firoozabad basin in Fars Province, Iran. At first, the runoff was simulated using the model during 1994–2010. Then, the results of model were calibrated from 1998 to 2006 and validated from 2007 to 2010 using Sequential Uncertainty Fitting and measured discharge of river from the hydrometric station of the basin outlet (Dehrood station). With the aim of assessing the model performance, uncertainty analyses were performed. The calibration results (R2 = 0.77, NS = 0.7) were acceptable at the basin outlet. However, the accuracy of the results was reduced during the validation period (R2 = 0.01, NS = − 0.57). In spite of the limitations of this study, the results indicated that Soil and Water Assessment Tool is an appropriate model for studies and simulations of hydrology and river discharge.

Keywords

Calibration Sequential uncertainty fitting Uncertainty analyses Validation 

References

  1. Abbaspour, K. C. (2011). User manual for SWAT–CUP4, SWAT calibration and uncertainty analysis programs. Duebendorf: Swiss Federal Institute of Aquatic Science and Technology, Eawag.Google Scholar
  2. Abbaspour, K. C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., et al. (2007). Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. Journal of Hydrology, 333(2–4), 413–430.  https://doi.org/10.1016/j.jhydrol.2006.09.014.CrossRefGoogle Scholar
  3. Abbott, M. B., & Refsgaard, J. C. (1996). Distributed hydrological modeling. Dordrecht: Kluwer Academic Publishers.CrossRefGoogle Scholar
  4. Alizadeh, A. (2006). Principles of applied hydrology. Mashhad: Astan Ghods, Bonyade Farhangiy Razavi Publication.Google Scholar
  5. Fontaine, T. A., Cruickshank, T. S., Arnold, J. G., & Hotchkiss, R. H. (2002). Development of a snowfall-snowmelt routine for mountainous terrain for the soil water assessment tool (SWAT). Journal of Hydrology, 262(1–4), 209–223.  https://doi.org/10.1016/S0022-1694(02)00029-X.CrossRefGoogle Scholar
  6. Food and Agriculture Organization of the United Nations, Land and Water Development Division (1995). Digital soil map of the world and derived soil properties, version 3.5. Rome: FAO.Google Scholar
  7. Gassman, P. W., Reyes, M. R., Green, C. H., & Arnold, J. G. (2007). The soil and water assessment tool: historical development, applications, and future research directions. American Society of Agricultural and Biological Engineers, 50(4), 1211–1250.  https://doi.org/10.13031/2013.23637.CrossRefGoogle Scholar
  8. Green, W. H., & Ampt, G. A. (1911). Studies on soil physics 1, The flow of air and water through soils. Journal of Agricultural Science, 4(1), 1–24.  https://doi.org/10.1017/S0021859600001441.CrossRefGoogle Scholar
  9. Hantush, M. M., & Kalin, L. (2005). Uncertainty and sensitivity analysis of runoff and sediment yield in a small agricultural watershed with kineros2. Hydrological Sciences Journal, 50(6), 1151–1172.CrossRefGoogle Scholar
  10. Hargreaves, G., & Samani, Z. A. (1985). Reference crop evapotranspiration from temperature. Applied Engineering Agriculture1, 1(2), 96–99.  https://doi.org/10.13031/2013.26773.CrossRefGoogle Scholar
  11. Jayakrishnan, R., Srinivasan, R., Santhi, C., & Arnold, J. G. (2005). Advances in the application of the SWAT model for water resources management. Hydrological Processes, 19(3), 749–762.  https://doi.org/10.1002/hyp.5624.CrossRefGoogle Scholar
  12. Jeong, J., Kannan, N., Arnold, J., Glick, R., Gosselink, L., & Srinivasan, R. (2010). Development and integration of sub-hourly rainfall-runoff modeling capability within a watershed model. Water Resources Management, 24(15), 4505–4527.  https://doi.org/10.1007/s11269-010-9670-4.CrossRefGoogle Scholar
  13. Krause, P., Boyle, D. P., & Bäse, F. (2005). Comparison of different efficiency criteria for hydrological model assessment. Advanced Geosciences, 5, 89–97.  https://doi.org/10.5194/adgeo-5-89-2005.CrossRefGoogle Scholar
  14. Maidment, D. R. (1992). Handbook of Hydrology. New York: McGraw-Hill Co.Google Scholar
  15. Monteith, J. L. (1965). Evaporation and environment. In G. F. Fogg (Ed.), The state and movement of water in living organisms (pp. 205–234). Cambridge: Cambridge University Press.Google Scholar
  16. Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Binger, R. L., Harmel, R. D., & Veith, T. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. American Society of Agricultural and Biological Engineers, 50(3), 885–900.  https://doi.org/10.13031/2013.23153.CrossRefGoogle Scholar
  17. Neitsch, S. L., Arnold, J. G., Kiniry, J. R., & Willams, J. R. (2005). Soil and Water Assessment Tool theoretical documentation, version 2005. Texas: Temple.Google Scholar
  18. Priestley, C. H. B., & Taylor, R. J. (1972). On the assessment of surface heat flux and evaporation using large-scale parameters. Monthly Weather Review, 100(2), 81–92.  https://doi.org/10.1175/1520-0493(1972)100%3c0081:OTAOSH%3e2.3.CO;2.CrossRefGoogle Scholar
  19. Rostamian, R., Jaleh, A., Afyuni, M., Mousavi, S. F., Heidarpour, M., Jalalian, A., et al. (2008). Application of a SWAT model for estimating runoff and sediment in two mountainous basins in central Iran. Hydrology Science Journal, 53(5), 977–988.  https://doi.org/10.1623/hysj.53.5.977.CrossRefGoogle Scholar
  20. Schuol, J., Abbaspour, K. C., Sarinivasan, R., & Yang, H. (2008). Estimation of freshwater availability in the West African sub-continent using the SWAT hydrologic model. Journal Hydrology, 352(1–2), 30–42.  https://doi.org/10.1016/j.jhydrol.2007.12.025.CrossRefGoogle Scholar
  21. Sharpley, A. N., & Williams, J. R. (1990). EPIC-Erosion/Productivity Impact Calculator. Model documentation, vol. 1, Issue 1768 of Technical bulletin. U. S. Department of Agriculture, Agricultural Research Service.Google Scholar
  22. Tabares, D. R., Tarquis, A. M., Willaarts, B., & Miguel, A. D. (2019). An accurate evaluation of water availability in sub-arid Mediterranean watersheds through SWAT: Cega-Eresma-Adaja. Agricultural Water Management, 212, 211–225.  https://doi.org/10.1016/j.agwat.2018.09.012.CrossRefGoogle Scholar
  23. USDA Soil Conservation Service. (1972). National engineering handbook, section 4, hydrology. Washington: USDA Soil Conservation Service.Google Scholar
  24. Van Liew, M. W., Arnold, J. G., & Garbrecht, J. D. (2003). Hydrologic simulation on agricultural watersheds: choosing between two models. Journal of Transactions of the American Society of Agricultural Engineers, 46(6), 1539–1551.  https://doi.org/10.13031/2013.15643)@2003.CrossRefGoogle Scholar
  25. Van Liew, M. W., & Garbrecht, J. (2003). Hydrologic simulation of the little washita river experimental watershed using SWAT. Journal of the American Water Resources Association, 39(2), 413–426.  https://doi.org/10.1111/j.1752-1688.2003.tb04395.x.CrossRefGoogle Scholar
  26. Vilaysane, B., Takara, K., Luo, P., Akkharath, I., & Duan, W. (2015). Hydrological stream flow modelling for calibration and uncertainty analysis using SWAT model in the xedone river basin, lao PDR. Procedia Environmental Sciences, 28, 380–390.  https://doi.org/10.1016/j.proenv.2015.07.047.CrossRefGoogle Scholar

Copyright information

© Islamic Azad University (IAU) 2019

Authors and Affiliations

  1. 1.Water Engineering DepartmentShiraz UniversityShirazIran
  2. 2.Water Engineering DepartmentUniversity of BirjandBirjandIran

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