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http://dx.doi.org/10.3741/JKWRA.2012.45.1.15

A Study for an Automatic Calibration of Urban Runoff Model by the SCE-UA  

Kang, Tae-Uk (Dept. of Civil Engrg., Pukyong National Univ.)
Lee, Sang-Ho (Dept. of Civil Engrg., Pukyong National Univ.)
Kang, Shin-Uk (Water Resources Operations Center, Korea Water Resources Corporation (Kwater))
Park, Jong-Pyo (Dept. of Water Resources, HECOREA Co. Ltd.)
Publication Information
Journal of Korea Water Resources Association / v.45, no.1, 2012 , pp. 15-27 More about this Journal
Abstract
SWMM (Storm Water Management Model) has been widely used in the world as a typical model for flood runoff analysis of urban areas. However, the calibration of the model is difficult, which is an obstacle to easy application. The purpose of the study is to develop an automatic calibration module of the SWMM linked with SCE-UA (Shuffled Complex Evolution-University of Arizona) algorithm. Generally, various objective functions may produce different optimization results for an optimization problem. Thus, five single objective functions were applied and the most appropriate one was selected. In addition to the objective function, another objective function was used to reduce peak flow error in flood simulation. They form a multiple objective function, and the optimization problem was solved by determination of Pareto optima. The automatic calibration module was applied to the flood simulation on the catchment of the Guro 1 detention reservoir and pump station. The automatic calibration results by the multiple objective function were more excellent than the results by the single objective function for model assessment criteria including error of peak flow and ratio of volume between observed and calculated flow. Also, the verification results of the model calibrated by the multiple objective function were reliable. The program could be used in various flood runoff analysis in urban areas.
Keywords
runoff; SCE-UA; SWMM; automatic calibration; multiple objective function;
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Times Cited By KSCI : 2  (Citation Analysis)
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