Abstract
Hydrologic model parameters obtained from regional regression equations are subject to uncertainty. Consequently, hydrologic model outputs based on the stochastic parameters are random. This paper presents a systematic analysis of uncertainty associated with the two parameters, N and K, in Nash's IUH model from different regional regression equations. The uncertainty features associated with N and K are further incorporated to assess the uncertainty of the resulting IUH. Numerical results indicate that uncertainty of N and K from the regional regression equations are too significant to be ignored.
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References
Chang, C.-H. 1994: Incorporating information of non-normal distribution in uncertainty analysis of hydrosystems. Ph.D. Dissertation, Department of Civil Engineering, National Chiao-Tung University, Hsinchu, Taiwan, Republic of China. 166pp
Chang, C.-H.; Tung, Y.-K.; Yang, J.-C. 1994: Mote carlo simulation for correlated variables with marginal distributions. Journal of Hydraulic Engineering, ASCE 120(2), 313–331
Chang, C.-H.; Tung, Y.-K.; Yang, J.-C. 1995: Evaluating performance of probabilistic point estimates methods. Journal of Mathematical Modelling 19(2), 95–105
Harr, M.E. 1989: Probabilistic estimates for multivariate analyses. Applied Mathematical Modelling 13, 313–318
Karmeshu; Lara-Rosano, F. 1987: Modelling data uncertainty in growth forecasts. Applied Mathematical Modelling 11, 62–68
Liu, P.-L.; Der Kiureghian, A. 1986: Multivariate distribution models with prescribed marginals and covariances. Probabilistic Engineering Mechanics 1(2), 105–112
Mays, L.W.; Tung, Y.K. 1992: Hydrosystems Engineering and Management, McGraw-Hill Book Company, New York, N.Y.
Rosenblueth, E. 1975: Point estimates for probability moments. Proceedings, National Academy of Science 72(10), 3812–3814
Rosenblueth, E. 1981: Two-point estimates in probabilities. Applied Mathematical Modelling 5, 329–335
Tung, Y.K.; Yen, B.C. 1993: Some recent progress in uncertainty analysis for hydraulic design. In: Reliability and Uncertainty Analyses in Hydraulic Design, edited by B.C. Yen and Y.K. Tung. 1734. ASCE
Tung, Y.K. 1994: Probabilistic hydraulic design: a next step to experimental hydraulics. d. of Hydraulic Research, IAHR 32(3), 323–336
Tung, Y.K.; Yeh, K.C.; Yang, J.C. 1995: Regionalization of unit hydrograph parameters: 1. Comparison of regional regression methods. (Accompanyingpaper under review)
Yeh, K.C.; Tung, Y.K., 1993: Uncertainty and sensitivity of a pit migration model. d. of Hydraulic Engr., ASCE 119(2), 262–281
Yeh, K.C.; Tung, Y.K.; Yang, J.C.; Zhao, B. 1993: Uncertainty analysis of hydrologic models and its implications on reliability of hydraulic structures (2). Agricultural Council, Executive Yuan, Taiwan
Zhao, B.; Tung, Y.K.; Yeh, K.C.; Yang, J.,C. 1995: Reliability analysis of hydraulic structures considering unit hydrograph uncertainty. Journal of Stochastic Hydrology and Hydraulics (Accepted).
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Yeh, K.C., Yang, J.C. & Tung, Y.K. Regionalization of unit hydrograph Parameters: 2. Uncertainty analysis. Stochastic Hydrol Hydraul 11, 173–192 (1997). https://doi.org/10.1007/BF02427914
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DOI: https://doi.org/10.1007/BF02427914