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http://dx.doi.org/10.3741/JKWRA.2009.42.3.201

Development of Combination Runoff Model Applied by Genetic Algorithm  

Shim, Seok-Ku (Dept. of Civil Engrg. Hankyong National University)
Koo, Bo-Young (Dept. of Water Resources, ISan Engineering)
Ahn, Tae-Jin (Dept. of Civil Engrg., Hankyong National University)
Publication Information
Journal of Korea Water Resources Association / v.42, no.3, 2009 , pp. 201-212 More about this Journal
Abstract
The Tank model and the PRMS(Precipitation Runoff Modeling-modular System) model have been adopted to simulate runoff data from 1981 to 2001 year in the Seomgin-dam basin. However, the simulated runoff by each single model showed some deviations compared with the observed runoff, respectively. In this study a genetic algorithm combination runoff model has been proposed to minimize deviations between simulated runoff and observed runoff that should yield from single model such as Tank model or PRMS model. The proposed combination runoff model combining the simulated respective output of the Tank model and the PRMS model is to produce the optimum combination ratio of each single model applying to the genetic algorithm which may yield the minimum deviations between simulated runoff and observed one. The proposed combination runoff model has been applied to the Seomgin-dam basin. It has also been shown that the combination model by introducing optimal combination ratio should yield less deviations than single model such as the Tank model or the PRMS model.
Keywords
Tank model; PRMS model; Optimum combination ratio; Combination runoff model;
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Times Cited By KSCI : 1  (Citation Analysis)
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