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- W59398862 abstract "Multiple regression equations were derived to estimate regional parameters of a modified Tank Model with three serial tanks. The regional parameters can be used to compute long term runoff from ungaged watersheds. The Tank Model parameters were estimated for the fifteen watersheds of dam sites and stream stations. A global optimization method of Shuffled Complex Evolution algorithm was found to be more proper than local optimization methods for parameter estimation of the Tank Model. The six watershed characteristic factors are predictor variables of the regression equations. Model verification was performed for the watersheds of Chungju Dam and Seolmacheon using the fitted parameters from the regression equations. The absolute errors of long term runoff from the verification are eight percent or less." @default.
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- W59398862 date "2007-01-01" @default.
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- W59398862 title "A Parameter Regionalization Study of a Modified Tank Model Using Characteristic Factors of Watersheds" @default.
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