Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
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Evaluation of Applicability of SWAT-CUP Program for Hydrologic Parameter Calibration in Hardware Watershed

Hardware 유역의 수문매개변수 보정을 위한 SWAT-CUP 프로그램의 적용성 평가

  • Sang Min, Kim (Department of Agricultural Engineering (Institute of Agriculture and Life Science), Gyeongsang National University)
  • Received : 2017.01.04
  • Accepted : 2017.04.04
  • Published : 2017.05.31
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Abstract

The purpose of this study was to calibrate the hydrologic parameters of SWAT model and analyze the daily runoff for the study watershed using SWAT-CUP. The Hardware watershed is located in Virginia, USA. The watershed area is $356.15km^2$, and the land use accounts for 73.4 % of forest and 23.2 % of pasture. Input data for the SWAT model were obtained from the digital elevation map, landuse map, soil map and others. Water flow data from 1990 to 1994 was used for calibration and from 1997 to 2005 was for validation. The SUFI-2 module of the SWAT-CUP program was used to calibrate the hydrologic parameters. The parameters were calibrated for the highly sensitive parameters presented in previous studies. The P-factor, R-factor, $R^2$, Nash-Sutcliffe efficiency (NS), and average flow were used for the goodness-of-fit measures. The applicability of the model was evaluated by sequentially increasing the number of applied parameters from 4 to 11. In this study, 10-parameter set was accepted for calibration in consideration of goodness-of-fit measures. For the calibration period, P-factor was 0.85, R-factor was 1.76, $R^2$ was 0.51 and NS was 0.49. The model was validated using the adjusted ranges of selected parameters. For the validation period, P-factor was 0.78, R-factor was 1.60, $R^2$ was 0.60 and NS was 0.57.

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References

  1. Abbaspour, K. C., 2008. SWAT-CUP2: SWAT Calibration and Uncertainty Program - A User Manual. Department of Systems Analysis, Integrated Assessment and Modeling (SIAM), Eawag, Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland.
  2. Abbaspour, K. C., E. Rouholahnejad, S. Vaghefi, R. Srinivasan, H. Yang, and B. Klove, 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
  3. Arnold, J. G., 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, and M. K. Jha, 2012. SWAT: Model use, calibration, and validation. Transactions of the ASABE 55(4): 1491-1508. https://doi.org/10.13031/2013.42256
  4. Arnold, J. G., J. R. Kiniry, R. Srinivasan, J. R., Williams, E. B. Haney, and S. L. Neitsch, 2011. Soil and Water Assessment Tool - Input/Output file documentation -version 2009, Texas Water Resources Institute, College Station, Technical Report no. 365.
  5. Boyle, D. P., H. V. Gupta, and S. Sorooshian, 2000. Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods. Water Resources Research 36(12): 3663-3674. https://doi.org/10.1029/2000WR900207
  6. Choi, H. S., 2013. Parameter estimation of SWAT model using SWAT-CUP in Seom-river experimental watershed. Journal of the Korean Society of Civil Engineers 33(2): 529-536 (in Korean). https://doi.org/10.12652/Ksce.2013.33.2.529
  7. Hunink, W., P. Terink, H. Droogers, J. Reuter, and J. Huting, 2011. Towards a Proof-of-Concept of Green Water Credits, for the Sebou Basin, Morocco. Wageningen, FutureWater, Report FutureWater 99.
  8. Joh, H. K., J. Y. Park, C. H. Jang, and S. J. Kim, 2012. Comparing prediction uncertainty analysis techniques of SWAT simulated streamflow applied to Chungju dam watershed. Journal of Korean Water Resources Association 45(9): 861-874 (in Korean). https://doi.org/10.3741/JKWRA.2012.45.9.861
  9. Lee, E. H. and D. I. Seo, 2011. Flow calibration and validation of Daechung lake watershed, Korea using SWAT-CUP. Journal of Korean Water Resources Association 44(9): 711-720 (in Korean). https://doi.org/10.3741/JKWRA.2011.44.9.711
  10. Madsen, H., 2000. Automatic calibration of a conceptual rainfallrunoff model using multiple objectives. Journal of Hydrology 235: 276-288. https://doi.org/10.1016/S0022-1694(00)00279-1
  11. Nash, J. E. and J. V. Sutcliffe, 1970. River flow forecasting through conceptual models: Part I. A discussion of principles. Journal of Hydrology 10: 282-290. https://doi.org/10.1016/0022-1694(70)90255-6
  12. Neitsch, S. L., J. G. Arnold, J. R. Kiriny, and J. R. Williams, 2011. Soil and Water Assessment Tool - Theoretical Documentation, version 2009, Texas Water Resource Institute, Temple, Technical Report no. 406.
  13. Ryu, J., H. Kang, J. W. Choi, D. S. Kong, D. Gum, C. H. Jang, and K. J. Lim, 2012. Application of SWAT-CUP for streamflow auto-calibration at Soyang-gang dam watershed. Journal of Korean Society on Water Environment 28(3): 347-358 (in Korean).
  14. USGS, 2005. USGS water data for the nation, U.S. Geological Survey: Washington, D.C., USA.
  15. VADEQ, 2007. Bacteria Total Maximum Daily Load Development for North Fork Hardware River and Hardware River; Prepared by the Biological Systems Engineering, Virginia Tech; Submitted by the Virginia Department of Environmental Quality.
  16. van Griensven, A., T. Meixner, S. Grunwald, T. Bishop, and A. Diluzio, R. Srinivasan, 2006. A global sensitivity analysis tool for the parameters of multi-variable catchment models. Journal of Hydrology 324(1-4): 10-23. https://doi.org/10.1016/j.jhydrol.2005.09.008
  17. Yang, J., P. Reichert, and K. C. Abbaspour, 2007. Bayesian uncertainty analysis in distributed hydrologic modeling: A case study in the Thur River basin (Switzerland). Water Resources Research 43: W10401.