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http://dx.doi.org/10.3741/JKWRA.2012.45.12.1213

Application of a Penalty Function to Improve Performance of an Automatic Calibration for a Watershed Runoff Event Simulation Model  

Kang, Taeuk (Dept. of Civil Engrg., Pukyong National Univ.)
Lee, Sangho (Dept. of Civil Engrg., Pukyong National Univ.)
Publication Information
Journal of Korea Water Resources Association / v.45, no.12, 2012 , pp. 1213-1226 More about this Journal
Abstract
Evolutionary algorithms, which are frequently used in an automatic calibration of watershed runoff simulation models, are unconstrained optimization algorithms. An additional method is required to impose constraints on those algorithms. The purpose of the study is to modify the SCE-UA (shuffled complex evolution-University of Arizona) to impose constraints by a penalty function and to improve performance of the automatic calibration module of the SWMM (storm water management model) linked with the SCE-UA. As indicators related to peak flow are important in watershed runoff event simulation, error of peak flow and error of peak flow occurrence time are selected to set up constraints. The automatic calibration module including the constraints was applied to the Milyang Dam Basin and the Guro 1 Pumping Station Basin. The automatic calibration results were compared with the results calibrated by an automatic calibration without the constraints. Error of peak flow and error of peak flow occurrence time were greatly improved and the original objective function value is not highly violated in the automatic calibration including the constraints. The automatic calibration model with constraints was also verified, and the results was excellent. In conclusion, the performance of the automatic calibration module for watershed runoff event simulation was improved by application of the penalty function to impose constraints.
Keywords
penalty function; constraint; automatic calibration; SCE-UA; SWMM;
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Times Cited By KSCI : 7  (Citation Analysis)
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