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http://dx.doi.org/10.5322/JES.2003.12.10.1109

Parameter Estimation of Runoff Model Using the Genetic Algorithm  

조현경 (영남이공대학 토목과)
이영화 (대구한의대학교 토목도시디자인학부)
Publication Information
Journal of Environmental Science International / v.12, no.10, 2003 , pp. 1109-1116 More about this Journal
Abstract
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, K$\_$s/) for the estimation of an effective rainfall and initial storage(y$\_$in/) 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.
Keywords
Genetic algorithm; Parameter estimation; SED model;
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