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http://dx.doi.org/10.12652/Ksce.2022.42.5.0627

Generalization of the Extreme Floods for Various Sizes of Ungauged Watersheds Using Generated Streamflow Data  

Yang, Zhipeng (Wonkwang University)
Jung, Yong (Wonkwang University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.42, no.5, 2022 , pp. 627-637 More about this Journal
Abstract
To know the magnitudes of extreme floods for various sizes of watersheds, massive streamflow data is fundamentally required. However, small/medium-size watersheds missed streamflow data because of the lack of gauge stations. In this study, the Streamflow Propagation Method (SPM) was applied to generate streamflow data for small/medium size watersheds with no measurements. Based on the generated streamflow data for ungauged watersheds at three different locations (i.e., Chungju Dam (CJD), Seomjin Dam (SJD), and Andong Dam (ADD) watersheds), the scale ranges of extreme floods were evaluated for different sizes of ungauged watersheds by using the specific flood distribution analysis. As a general result, a range of specific floods decreases with increasing watershed size. The distribution of the specific flood in the same size of a watershed possibly depends on the size and topography of the watershed area. The delivered equations were compared to show the relations between the specific flood and sizes of watersheds. In the comparisons of equations, the Creager envelope curve has the higher potential to represent the maximum flood distribution for each watershed. For the generalization of the maximum flood distribution for three watersheds, optimized envelop curves are obtained with lower RMSE than that of Creager envelope curve.
Keywords
Stream propagation method (SPM); Ungauged watersheds; Extreme flood range; Generalization;
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