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http://dx.doi.org/10.17663/JWR.2019.21.2.114

Uncertainty Analysis of Stage-Discharge Curve Using Bayesian and Bootstrap Methods  

Lim, Jonghun (Department of Civil Engineering, Inha university)
Kwon, Hyungsoo (SOOIL Engineering Co., Ltd.)
Joo, Hongjun (Department of Civil Engineering, Inha university)
Wang, Won-joon (Disaster Management Research Center)
Lee, Jongso (Korea Research Institute for Human Settlements)
You, Younghoon (Department of Civil Engineering, Inha university)
Kim, Hungsoo (Department of Civil Engineering, Inha university)
Publication Information
Journal of Wetlands Research / v.21, no.2, 2019 , pp. 114-124 More about this Journal
Abstract
The objective of this study is to reduce the uncertainty of the river discharge estimation method using the stage-discharge relation curve. It is necessary to consider the quantitative and accurate estimation method because the river discharge data is essential data for hydrological interpretation and water resource management. For this purpose, the parameters estimated by Bayesian and Bootstrap methods are compared with the ones obtained by stage-discharge relation curve. In addition, the Bayesian and Bootstrap methods are applied to assess uncertainty and then those are compared with the confidence intervals of the results from standard error method which has t-distribution. From the results of this study, The estimated value of the regression analysis developed through this study is less than 1 ~ 5%. Also It is confirmed that there are some areas where the applicability is better than the existing one according to the water level at each point. Therefore, if we use more suitable method according to the river characteristics, we could obtain more reliable discharge with less uncertainty.
Keywords
Bayesian method; Bootstrap method; Stage-Discharge curve; Uncertainty;
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Times Cited By KSCI : 8  (Citation Analysis)
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