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http://dx.doi.org/10.3741/JKWRA.2018.51.1.61

Comparative analysis of methods for sediment level estimation in dam reservoir  

Joo, Hong Jun (Department of Civil Engineering, Inha University)
Kim, Hung Soo (Department of Civil Engineering, Inha University)
Cho, Woon ki (Department of Civil Engineering, Hongik University)
Kwak, Jae won (Forecast & Control Division, Nakdong River Flood Control Office)
Publication Information
Journal of Korea Water Resources Association / v.51, no.1, 2018 , pp. 61-70 More about this Journal
Abstract
This study examined how to determine the optimal sediment level in dam reservoir for efficient plan and operation of dam. Currently, Korea is applying a horizontally accumulated method for sediment level estimation for the safety design of dam and so the method estimated relatively higher level than others. However, the sediment level of dam reservoir should be accurately estimated because it is an important factor in assessing life cycle of a dam. The sediment level in dam reservoir can be determined by SED-2D model linked with RMA-2, horizontally accumulated method, area increment method, and empirical area reduction method. The estimated sediment level from each method was compared with the observed sediment level measured in 2007 in Imha dam reservoir, Korea and then the optimal method was determined. Also, the future sediment level was predicted by each method for the future trend analysis of sediment level. As the results, the most accurate sediment level was estimated by the empirical area reduction method and the future trend of sediment level variation followed the past trend. Therefore, we have found that the empirical area reduction method is a proper one for more accurate estimation of sediment level and it can be validated by the results from a numerical model of SED-2D linked with RMA-2 model.
Keywords
Dam reservoir; Sediment level; RMA-2 & SED-2D model; Horizontally accumulated method; Area reduction method; Empirical area reduction method;
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Times Cited By KSCI : 2  (Citation Analysis)
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