Browse > Article
http://dx.doi.org/10.5389/KSAE.2009.51.1.001

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

Kim, Hak-Kwan (서울대학교 농업생명과학연구원)
Kang, Moon-Seong (서울대학교 조경.지역시스템공학부, 농업생명과학연구원)
Park, Seung-Woo (서울대학교 조경.지역시스템공학부, 농업생명과학연구원)
Choi, Ji-Yong (한국환경.정책평가연구원)
Yang, Hee-Jeong (국립환경과학원 한강물환경연구소)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.51, no.1, 2009 , pp. 1-9 More about this Journal
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 ($R^2$) 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.
Keywords
SWAT model; parameter; muli-objective auto-calibaration; SCE-UA; runoff;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 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   DOI   ScienceOn
2 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
3 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   DOI   ScienceOn
4 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   DOI   ScienceOn
5 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)   DOI   ScienceOn
6 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)   DOI   ScienceOn
7 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   DOI   ScienceOn
8 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
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   DOI   ScienceOn
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 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   DOI
12 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   DOI   ScienceOn
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   DOI   ScienceOn
14 Bekele E. G., and J. W. Nicklow, 2007. Multi-objective automatic calibration of SWAT using NAGA II. Journal of Hydrology 341: 165-176   DOI   ScienceOn