다중목적 최적화기법을 이용한 SWAT 모형 수문매개변수의 자동보정
Auto-calibration for the SWAT Model Hydrological Parameters Using Multi-objective Optimization Method
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조회
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다운로드
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인용
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참고문헌
키워드
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 (R2) were used to evaluate the results of calibration and validation. The statistics of RMSE, RMAE, EI, and R2 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.
Abstract
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 (R2) were used to evaluate the results of calibration and validation. The statistics of RMSE, RMAE, EI, and R2 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.
참고문헌 (14)
- Arnold, J. G., "Large-area hydrologic modeling and assessment Part Ⅰ: Model development", Journal of American Water Resources Association, 34, pp.73~89 (1998)
- Bekele E. G., "Multi-objective automatic calibration of SWAT using NAGA Ⅱ", Journal of Hydrology, 341, pp.165~176 (2007)
- Gassman P. W., "The soil and water assessment tool: Historical development, applications, and future research directions", American Society of Agricultural and Biological Engineers, 50, pp.1211~1250 (2007)
- Heathwaite, A. L., "Modelling and managing critical source areas of diffuse pollution from agricultural land using flow connectivity simulation", Journal of Hydrology, 304, pp.446~461 (2005)
- Kang, M. S., "Appling SWAT for TMDL programs to a small watcrshcd containing rice paddy fields", Agricultural Water Management, 79(1), pp.72~92 (2006)
- 강문성, "비점원오염모델을 이용한 오염총량모의시스템의 개발 및 적용", 한국수자원학회 논문집, 36(1), pp.117~128 (2003), 한국수자원학회
- 이도훈, "LH-OAT 민감도 분석과 SCE-UA 최적화 방법을 이용한 SWAT 모형의 자동보정", 한국수자원학회 논문집, 39(8), pp.677~690 (2006), 한국수자원학회
- Legates D. R., "Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation", Water Resources Research, 35, pp.233~241 (1999)
- Nash J. E., "River flow forecasting through conceptual models par Ⅰ-A discussion of principles", Journal of Hydrology, 10, pp.282~290 (1970)
- Neitsch, S. G., "Soil and water assessment tool theoretical documentation" (2005), United States Department of Agriculture Agricultural Research Service
- Van Griensven A., "A global and efficient multi-objective auto-calibration and uncertainty estimation method for water quality catchment models", Journal of Hydroinformatics, 9, pp.277~291 (2007)
- Van Liew M. W, "Problems and potential of autocalibrating a hydrological model", American Society of Agricultural and Biological Engineers, 48, pp.1205~1040 (2005)
- Van Liew M. W., "Suitability of SWAT for the conservation effects assessment project: A comparison on USDA- ARS watersheds", Journal of Hydrologic Engineering, 12, pp.173~189 (2007)
- Wang X., "Evaluation of the SWAT model's snowmelt hydrology in a northwestern Minnesota watershed", Transactions of the American Society of Agricultural and Biological Engineers, 48, pp.1359~1376 (2005)