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http://dx.doi.org/10.17663/JWR.2017.19.4.423

Parameter Calibration and Estimation for SSARR Model for Predicting Flood Hydrograph in Miho Stream  

Lee, Myungjin (Department of Civil Engineering, Inha University)
Kim, Bumjun (Korea Infrastructure Safety Corporation)
Kim, Jongsung (Department of Civil Engineering, Inha University)
Kim, Duckhwan (Department of Civil Engineering, Inha University)
Lee, Dong ryul (Korea Institute of Civil Engineering and Building Technology)
Kim, Hung Soo (Department of Civil Engineering, Inha University)
Publication Information
Journal of Wetlands Research / v.19, no.4, 2017 , pp. 423-432 More about this Journal
Abstract
This study used SSARR model to predict the flood hydrograph for the Miho stream in the Geum river basin. First, we performed the sensitivity analysis on the parameters of SSARR model to know the characteristics of the parameters and set the range. For the parameter calibration, optimization methods such as genetic algorithm, pattern search and SCE-UA were used. WSSR and SSR were applied as objective functions, and the results of optimization method and objective function were compared and analyzed. As a result of this study, flood prediction was most accurate when using pattern search as an optimization method and WSSR as an objective function. If the parameters are optimized based on the results of this study, it can be helpful for decision making such as flood prediction and flood warning.
Keywords
SSARR Model; Objective Function; Pattern Search; Genetic Algorithm;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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