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http://dx.doi.org/10.5389/KSAE.2018.60.2.001

Watershed-based PMF and Sediment-runoff Estimation Using Distributed Hydrological Model  

Yu, Wansik (Water Resources Research Center, K-water Convergence Institute)
Lee, Giha (Dept. of Construction and Disaster Prevention Eng, Kyungpook National Univ.)
Kim, Youngkyu (Water Resources Research Center, K-water Convergence Institute)
Jung, Kwansue (Dept. of Civil Engineering, Chungnam National Univ.)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.60, no.2, 2018 , pp. 1-11 More about this Journal
Abstract
Probable Maximum Flood (PMF) is mostly applied for the designs of large-scale hydraulic structures and it is estimated by computing the runoff hydrograph where Probable Maximum Precipitation (PMP) is inserted as design rainfall. The existing PMP is estimated by transferring the heavy rainfall from all watersheds of korea to the design watershed, however, in this study, PMP was analyzed by selecting only rainfall events occurred in the design watershed. And then, Catchment-scale Soil Erosion Model (CSEM) was used to estimate the PMF and sediment-runoff yield according to the watershed-based estimated PMP. Although the PMF estimated in this study was lower than the existing estimated PMF in the Yongdam-dam basin, it was estimated to be higher than the 200-year frequency design flood discharge. In addition, sediment-runoff yield was estimated with a 0.05 cm of the maximum erosion and a 0.06 cm of the maximum deposition, and a total sediment-runoff yield of 168,391 tons according to 24-hour PMP duration.
Keywords
CSEM model; PMF; sediment-runoff yield; watershed-based PMP;
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Times Cited By KSCI : 3  (Citation Analysis)
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