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KMID : 1024520030120101109
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Journal of the Environmental Sciences
2003 Volume.12 No. 10 p.1109 ~ p.1116
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Parameter Estimation of Runoff Model Using the Genetic Algorithm
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Cho Hyeon-Kyeong
Lee Yeong-Hwa
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Abstract
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The genetic algorithm is investigated fer parameters estimation of SED (storage - effective drainage) model from the Wi-stream watershed in Nakdong river basin. In the practical application of model, as a number of watershed parameters do not measure directly, it is desirable to make a good estimation from the known rainfall and runoff data. For the estimation of parameters of the SED model using the genetic algorithm, parameters of Green-Ampt equation(SM, Ks/) for the estimation of an effective rainfall and initial storage(yin/) used in SED model are obtained a regression equation with 5, 10, 20 days antecedent precipitation. And as a consequence of computation, the parameters were obtained to satisfy the proposed objective function. From the comparison of observed and computed hydrographs, it shows a good agreement in the shape and the rising limb, peak, falling limb of hydrograph, so the SED model using the genetic algorithm shows a suitable model for runoff analysis in river basin.
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KEYWORD
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Genetic algorithm, Parameter estimation, SED model
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