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Evaluation of the Tank Model Optimized Parameter for Watershed Modeling

유역 유출량 추정을 위한 TANK 모형의 매개변수 최적화에 따른 적용성 평가

  • 김계웅 (서울대학교 농업생명과학대학 생태조경.지역시스템공학부) ;
  • 송정헌 (서울대학교 농업생명과학대학 생태조경.지역시스템공학부) ;
  • 안지현 (서울대학교 농업생명과학연구원) ;
  • 박지훈 (서울대학교 농업생명과학대학 생태조경.지역시스템공학부) ;
  • 전상민 (서울대학교 농업생명과학대학 생태조경.지역시스템공학부) ;
  • 송인홍 (서울대학교 농업생명과학연구원) ;
  • 강문성 (서울대학교 농업생명과학대학 조경.지역시스템공학부, 농업생명과 학연구원)
  • Received : 2014.04.12
  • Accepted : 2014.06.16
  • Published : 2014.07.31

Abstract

The objective of this study was to evaluate of the Tank model in simulating runoff discharge from rural watershed in comparison to the SWAT (Soil and Water Assessment Tool) model. The model parameters of SWAT was calibrated by the shuffled complex evolution-university Arizona (SCE-UA) method while Tank model was calibrated by genetic algorithm (GA) and validated. Four dam watersheds were selected as the study areas. Hydrological data of the Water Management Information System (WAMIS) and geological data were used as an input data for the model simulation. Runoff data were used for the model calibration and validation. The determination coefficient ($R^2$), root mean square error (RMSE), Nash-Sutcliffe efficiency index (NSE) were used to evaluate the model performances. The result indicated that both SWAT model and Tank model simulated runoff reasonably during calibration and validation period. For annual runoff, the Tank model tended to overestimate, especially for small runoff (< 0.2 mm) whereas SWAT model underestimate runoff as compared to observed data. The statistics indicated that the Tank model simulated runoff more accurately than the SWAT model. Therefore the Tank model could be a good tool for runoff simulation considering its ease of use.

Keywords

References

  1. Beven, K., 1989. Changing Ideas in Hydrology - The case of Physically-Based Models. Journal of Hydrology 105: 157-172. https://doi.org/10.1016/0022-1694(89)90101-7
  2. Beven, K., 2007. Towards integrated environmental models of everywhere: uncertainty, data and modelling as a learning process. Hydrology and Earth System Science 11(1): 460-467. https://doi.org/10.5194/hess-11-460-2007
  3. 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
  4. Choi, H. H., H. S. Lee, 2012. Assessment of Conceptual Rainfall Runoff Models for Regionalisation at Miho Catchment. Journal of Korean Society of Hazard Mitigation 12(1): 193-203 (in Korean). https://doi.org/10.9798/KOSHAM.2012.12.1.193
  5. Chung, G. H., H. S. Park, J. Y. Sung, H. J. Kim, 2012. Determination and Evaluation of Optimal Parameters in Storage Function Method using SCE-UA. Journal of Korea Water Resources Association 45(11): 1169-1186 (in Korean). https://doi.org/10.3741/JKWRA.2012.45.11.1169
  6. Duan, Q. Y., S. Sorooshian, V. K. Gupta, 1992. Effective and efficient global optimization for conceptual rainfallrunoff models. Water Resources Research 28(4): 1015-1031. https://doi.org/10.1029/91WR02985
  7. Dunn, S. M., J. Freer, M. Weiler, M. J. Kirkby, J. Seibert, P. F. Quinn, G. Lischeid, D. Tetzlaff, C. Soulsby, 2008. Conceptualization in catchment modeling: simply learning?. Hydrological Processes 22: 2389-2393. https://doi.org/10.1002/hyp.7070
  8. Huh, Y. M., S. W. Park, S. J. Im, 1993. A Streamflow Network Model for Daily Water Supply and Demands on Small Watershed. Journal of Korean Society of Agricultural Engineers 35(1): 40-49 (in Korean).
  9. Im, S. J., Brannan, K. M., Mostaghimi, S., S. M. Kim, 2007. Comparison of HSPF and SWAT models performance for runoff sediment yield prediction. Journal of Environmental Science and Health Part A(42): 1561-1570.
  10. Jang, W. S., J. P. Moon, N. W. Kim, D. S. Yoo, D. H. Kum, I. J. Kim, Y. R. Mun, K. J. Lim, 2011. SWAT Direct Runoff and Baseflow Evaluation using Web-based Flow Clustering EI Estimation System. Journal of Korean Society on Water Quality 27(1): 61-72.
  11. Kang, M. G., 2004. Optimal Water Allocation Using Streamflow Network Model and Global Optimization Method. Ph.D. diss., Seoul, Seoul National University (in Korean).
  12. Kang, M. G., J. H. Lee, K. W. Park, 2013. Parameter Regionalization of a Tank Model for Simulating Runoffs from Ungauged Watersheds. Journal of Korea Water Resources Association 46(5): 519-530 (in Korean). https://doi.org/10.3741/JKWRA.2013.46.5.519
  13. Kang, M. S., 2002. Development of Total Maximum Daily Loads Simulation System Using Artificial Neural Networks for Satellite Data Analysis and Nonpoint Source Pollution Models. Ph.D. diss., Seoul, Seoul National University (in Korean).
  14. Kang, M. S., S. W. Park, J. J. Lee, K. H. Yoo, 2006. Applying SWAT for TMDL programs to a small watershed containing rice paddy fields. Agricultural Water Management 79(1): 72-92. https://doi.org/10.1016/j.agwat.2005.02.015
  15. Kim, C. G., N. W. Kim, 2012. Comparison of Natural Flow Estimates for the Han River Basin Using Tank and SWAT Models. Journal of Korea Water Resources Association 45(3): 301-316 (in Korean). https://doi.org/10.3741/JKWRA.2012.45.3.301
  16. Kim, H. K., M. S. Kang, S. W. Park, J. Y. Choi, H. J. Yang, 2009. Auto-calibration for the SWAT Model Hydrological Parameters Using Multi-objective Optimization Method. Journal of Korean Society of Agricultural Engineers 51(1): 1-9 (in Korean). https://doi.org/10.5389/KSAE.2009.51.1.001
  17. Kim, H. Y., 1988. Simulating Daily Inflow and Release Rates for Irrigation Reservoirs. Ph.D. diss., Seoul, Seoul National University (in Korean).
  18. Kim, H. Y., S. W. Park, 1988. Simulating Daily Inflow and Release Rates for Irrigation Reservoirs(1)-Modeling Inflow Rates by A Linear Reservoir Model. Journal of Korean Society of Agricultural Engineers 30(1): 50-62 (in Korean).
  19. Kim, K. W., Y. J. Lee, D. S. Kang, Y. H. Kim, 2013. Improved Approach for Optimal Design of Agricultural Irrigation System. Journal of Korean Society of Hazard Mitigation 13(6): 359-365 (in Korean). https://doi.org/10.9798/KOSHAM.2013.13.6.359
  20. Kim, N. W., A. H. Shin, C. G. Kim, 2009. Comparison of SWAT-K and HSPF for Hydrological Components Modeling in the Chungju Dam Watershed. Journal of the Environmental Sciences 18(6): 609-619 (in Korean). https://doi.org/10.5322/JES.2009.18.6.609
  21. Kim, S. J., P. S. Kim, C. Y. Yoon, 2000. A Regression Equation of Tank Model Parameters for Daily Runoff Estimation in a Region with Insufficient Hydrological Data. Proceedings of the Korean Society of Agricultural Engineers 2000: 412-418 (in Korean).
  22. Kim, S. J., Y. G. Jee, P. S. Kim, 2005. The Comparative Analysis of Optimization Methods for the Parameter Calibration of Rainfall-Runoff Models. Journal of Korean Society of Agricultural Engineers 47(3): 3-13 (in Korean). https://doi.org/10.5389/KSAE.2005.47.3.003
  23. Lee, E. H., D. I. Seo, 2011. Flow Calibration and Validation of Daechung Lake Watershed, Korea Using SWAT-CUP. Journal of Korea Resources Association 44(9): 711-720 (in Korean). https://doi.org/10.3741/JKWRA.2011.44.9.711
  24. Lee, S. Y., T. G. Kim, J. M. Lee, E. J. Lee, M. S. Kang, S. W. Park, J. J. Lee. 2009. Comparison of Estimating Parameters by Univariate Search and Genetic Algorithm using Tank Model. Journal of Korean Society of Agricultural Engineers 51(3): 1-8 (in Korean). https://doi.org/10.5389/KSAE.2009.51.3.001
  25. Neitsch, S. L., J. G. Arnold, J. R. Kiniry, J. R. Williams, 2011. Soil and Water Assessment Tool Theoretical Documentation Version 2009. United States Department of Agriculture Agricultural Research Service, Temple, Texas.
  26. Park, J. H., E. R. Lee, T. K. Kim, I. H. Ko, 2007. Comparison of Runoff Analysis Between Distributed Model and Lumped Model for Flood Forecast. Proceedings of the Korea Water Resources Association 2007: 1482-1502 (in Korean).
  27. Shin, H. S., D. K. Kang, S. D. Kim, 2007. Analysis of the Effect of Water Budget Elements on Flow Duration Characteristics using SWAT-Nak Dong. Journal of Korea Water Resources Association 40(3): 251-263 (in Korean). https://doi.org/10.3741/JKWRA.2007.40.3.251
  28. Shin, S. H., I. W. Jung, D. H. Bae, 2010. Study on Estimation of Optimal Parameters for Tank Model by Using SCE-UA. Proceedings of the Korea Water Resources Association 2010: 1530-1535 (in Korean).
  29. Sung, Y. D., K. Y. Chong, C. K. Shin, J. H. Park, 2008. Long term Rainfall-Runoff Modeling Using Storage Function Method. Journal of Korea Water Resources Association 41(7): 737-746 (in Korean). https://doi.org/10.3741/JKWRA.2008.41.7.737
  30. Van Liew M. W., T. L. Veith, D. D. Bosch, and J. G. Arnold, 2007. Suitability of SWAT for the Conservation Effects Assessment Project: Comparison on USDA Agricultural Research Service Watersheds. Journal of Hydrologic Engineering 12: 173-189. https://doi.org/10.1061/(ASCE)1084-0699(2007)12:2(173)