한국농공학회논문집 (Journal of The Korean Society of Agricultural Engineers)

  • 제51권1호
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  • Pages.1-9
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  • 2009
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  • 1738-3692(pISSN)
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  • 2093-7709(eISSN)
한국농공학회 (The Korean Society of Agricultural Engineers)
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다중목적 최적화기 법을 이용한 SWAT 모형 수분매개변수의 자동보정

Auto-calibration for the SWAT Model Hydrological Parameters Using Multi-objective Optimization Method

  • 김학관 (서울대학교 농업생명과학연구원) ;
  • 강문성 (서울대학교 조경.지역시스템공학부, 농업생명과학연구원) ;
  • 박승우 (서울대학교 조경.지역시스템공학부, 농업생명과학연구원) ;
  • 최지용 (한국환경.정책평가연구원) ;
  • 양희정 (국립환경과학원 한강물환경연구소)
  • 발행 : 2009.01.29
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초록

The objective of this paper was to evaluate the auto-calibration with multi-objective optimization method to calibrate the parameters of the Soil and Water Assessment Tool (SWAT) model. The model was calibrated and validated by using nine years (1996-2004) of measured data for the 384-ha Baran reservoir subwatershed located in central Korea. Multi-objective optimization was performed for sixteen parameters related to runoff. The parameters were modified by the replacement or addition of an absolute change. The root mean square error (RMSE), relative mean absolute error (RMAE), Nash-Sutcliffe efficiency index (EI), determination coefficient ($R^2$) were used to evaluate the results of calibration and validation. The statistics of RMSE, RMAE, EI, and $R^2$ were 4.66 mm/day, 0.53 mm/day 0.86, and 0.89 for the calibration period and 3.98 mm/day, 0.51 mm/day, 0.83, and 0.84 for the validation period respectively. The statistical parameters indicated that the model provided a reasonable estimation of the runoff at the study watershed. This result was illustrated with a multi-objective optimization for the flow at an observation site within the Baran reservoir watershed.

키워드

참고문헌

  1. Arnold, J. G., R. Srinivasan, R. S. Muttiah, and J. R. Williams, 1998. Large-area hydrologic modeling and assessment Part Ⅰ: Model development. Journal of American Water Resources Association 34: 73-89 https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
  2. Bekele E. G., and J. W. Nicklow, 2007. Multi-objective automatic calibration of SWAT using NAGA II. Journal of Hydrology 341: 165-176 https://doi.org/10.1016/j.jhydrol.2007.05.014
  3. Gassman P. W., M. R. Reyes, C. H. Green, and J. G. Arnold, 2007. The soil and water assessment tool: Historical development, applications, and future research directions. American Society of Agricultural and Biological Engineers 50: 1211-1250
  4. Heathwaite, A. L., P. F. Quinn, and C. J. M. Hewett, 2005. Modelling and managing critical source areas of diffuse pollution from agricultural land using flow connectivity simulation. Journal of Hydrology 304: 446-461 https://doi.org/10.1016/j.jhydrol.2004.07.043
  5. Kang, M. S., S. W. Park, J. J. Lee, and K. H. Yoo, 2006. Appling SWAT for TMDL programs to a small watcrshcd containing rice paddy fields. Agricultural Water Management 79(1): 72-92 https://doi.org/10.1016/j.agwat.2005.02.015
  6. Kang, M. S., and S. W. Park, 2003. Development and application of total maximum daily loads simulation system using nonpoint source pollution Model. J. of Korea Water Resources Association (KWRA) 36(1): 117-128 (in Korean) https://doi.org/10.3741/JKWRA.2003.36.1.117
  7. Lee D. H., 2006. Automatic calibration of SWAT model using LH-OAT sensitivity analysis and SCE-UA optimization method. Journal of Korea Water Resources Association 39: 677-690 (in Korean) https://doi.org/10.3741/JKWRA.2006.39.8.677
  8. Legates D. R., and G. J. McCabe Jr., 1999. Evaluating the use of "goodness-of-fit" measures in hydrologic and hydroclimatic model validation. Water Resources Research 35: 233-241 https://doi.org/10.1029/1998WR900018
  9. Nash J. E., and J. V. Sutcliffe, 1970. River flow forecasting through conceptual models par Ⅰ-A discussion of principles. Journal of Hydrology 10: 282-290 https://doi.org/10.1016/0022-1694(70)90255-6
  10. Neitsch, S. G., J. G. Arnold, J. R. Kiniry, and J. R. Williams, 2005. Soil and water assessment tool theoretical documentation. Version 2005, United States Department of Agriculture Agricultural Research Service, Temple, Texas
  11. Van Griensven A., and T. Meixner, 2007. A global and efficient multi-objective auto-calibration and uncertainty estimation method for water quality catchment models. Journal of Hydroinformatics 9: 277-291 https://doi.org/10.2166/hydro.2007.104
  12. Van Liew M. W., J. G. Arnold, and D. D. Bosch, 2005. Problems and potential of autocalibrating a hydrological model. American Society of Agricultural and Biological Engineers 48: 1205-1040
  13. Van Liew M. W., T. L. Veith, D. D. Bosch, and J. G. Arnold, 2007. Suitability of SWAT for the conservation effects assessment project: A comparison on USDA-ARS watersheds. Journal of Hydrologic Engineering 12: 173-189 https://doi.org/10.1061/(ASCE)1084-0699(2007)12:2(173)
  14. Wang X., and A. M. Melesse, 2005. Evaluation of the SWAT model's snowmelt hydrology in a northwestern Minnesota watershed. Transactions of the American Society of Agricultural and Biological Engineers 48: 1359-1376 https://doi.org/10.13031/2013.19194

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