과제정보
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government (MSIT)(No. 2020R1A2C1102758).
참고문헌
- ASCE. (1993). Criteria for Evaluation of Watershed Models. Journal of Irrigation and Drainage Engineering. 119(3): 429-442. https://doi.org/10.1061/(ASCE)0733-9437(1993)119:3(429)
- Beven, K. and Binley, A. (1992). The Future of Distributed Models: Model Calibration and Uncertainty Prediction. Hydrological Processes. 6(3): 279-298. https://doi.org/10.1002/hyp.3360060305
- Chung, G. H., Park, H. S., Sung, J. Y., and Kim, H. J. (2012). Determination and Evaluation of Optimal Parameters in Storage Function Method using SCE-UA. Journal of Korea Water Resources Association. 45(11): 1169-1186. https://doi.org/10.3741/JKWRA.2012.45.11.1169
- Chung, G. H. and Park, H. S. (2013). Modification of the Fixed Coefficient Method for the Parameter Estimation of Storage Function Method. Journal of Korea Water Resources Association. 46(1): 73-85. https://doi.org/10.3741/JKWRA.2013.46.1.73
- Criss, R. E. and Winston, W. E. (2008). Do Nash Values Have Value? Discussion and Alternate Proposals. Hydrological Processes: An International Journal. 22(14): 2723-2725. https://doi.org/10.1002/hyp.7072
- Duan, Q., Sorooshian, S., and Gupta, V. K. (1992). Effective and Efficient Global Optimization for Conceptual Rainfallrunoff Models. Water Resources Research. 28(4): 1015-1031. https://doi.org/10.1029/91WR02985
- Duan, Q. Y., Gupta, V. K., and Sorooshian, S. (1993). Shuffled Complex Evolution Approach for Effective and Efficient Global Minimization. Journal of Optimization Theory and Applications. 76(3): 501-521. https://doi.org/10.1007/BF00939380
- Gupta, H. V., Sorooshian, S., and Yapo, P. O. (1998). Toward Improved Calibration of Hydrologic Models: Multiple and Noncommensurable Measures of Information. Water Resources Research. 34(4): 751-763. https://doi.org/10.1029/97WR03495
- Gupta, H., Thiemann, M., Trosset, M., and Sorooshian, S. (2003). Reply to Comment by K. Beven and P. Young on 'Bayesian Recursive Parameter Estimation for Hydrologic Models'. Water Resources Research. 39(5): 1117.
- Hwang, S. H., Ham, D. H., and Kim, J. H. (2012). A New Measure for Assessing the Efficiency of Hydrological Data-driven Forecasting Models. Hydrological Sciences Journal. 57(7): 1257-1274. https://doi.org/10.1080/02626667.2012.710335
- Jain, S. K. and Sudheer, K. P. (2008). Fitting of Hydrologic Models: A Close Look at the Nash-Sutcliffe index. Journal of Hydrologic Engineering. 13(10): 981-986. https://doi.org/10.1061/(ASCE)1084-0699(2008)13:10(981)
- Krause, P., Boyle, D. P., and Base, F. (2005). Comparison of Different Efficiency Criteria for Hydrological Model Assessment. Advances in Geosciences. 5: 89-97. https://doi.org/10.5194/adgeo-5-89-2005
- Lee, D. E., Kim, Y. S., Yu, W. S., and Lee, G. H. (2017). Evaluation on Applicability of On/Off-line Parameter Calibration Techniques in Rainfall-runoff Modeling. Journal of Korea Water Resources Association. 50(4): 241-252. https://doi.org/10.3741/JKWRA.2017.50.4.241
- Legates, D. R. and McCabe Jr, G. J. (1999). Evaluating the Use of "Goodness-of-fit" Measures in Hydrologic and Hydroclimatic Model Validation. Water resources research. 35(1): 233-241. https://doi.org/10.1029/1998WR900018
- McCuen, R. H., Knight, Z., and Cutter, A. G. (2006). Evaluation of the Nash-Sutcliffe efficiency index. Journal of hydrologic engineering. 11(6): 597-602. https://doi.org/10.1061/(ASCE)1084-0699(2006)11:6(597)
- Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., and Veith, T. L. (2007). Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations. Transactions of the ASABE. 50(3): 885-900. https://doi.org/10.13031/2013.23153
- Schaefli, B. and Gupta, H. V. (2007). Do Nash Values Have Value?. Hydrological Processes. 21: 2075-2080. https://doi.org/10.1002/hyp.6825
- Shin, C. K., Cho, H. S., Jung, K. S., and Kim, J. H. (2004). Grid based Rainfall-runoff Modelling using Storage Funcion Method. Journal of Korea Water Resources Association. 37(11): 969-978. https://doi.org/10.3741/JKWRA.2004.37.11.969
- Singh, J., Knapp, H. V., and Demissie, M. (2004). Hydrologic Modeling of the Iroquois River Watershed using HSPF and SWAT. ISWS CR 2004-08. Champaign, Ill.: Illinois State Water Survey.
- Vrugt, J. A., Gupta, H. V., Bastidas, L. A., Bouten, W., and Sorooshian, S. (2003). Effective and Efficient Algorithm for Multiobjective Optimization of Hydrologic Models. Water Resources Research. 39(8): 1214.
- Wang, Q. J. (1991). The Genetic Algorithm and Its Application to Calibrating Conceptual Rainfall-runoff Models. Water Resources Research. 27(9): 2467-2471. https://doi.org/10.1029/91WR01305
- Yapo, P. O., Gupta, H. V., and Sorooshian, S. (1998). Multi-objective Global Optimization for Hydrologic Models. Journal of hydrology. 204(1-4): 83-97. https://doi.org/10.1016/S0022-1694(97)00107-8