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An Efficient Management of Sediment Deposit for Reservoir Long-Term Operation (1) - Reservoir Sediment Estimation  

Ahn, Jae Hyun (Department of Civil Engineering, Seokyong University)
Jang, Su Hyung (Research Center for Disaster Prevention Science and Technology, Korea University)
Choi, Won Suk (Department Institute of Construction Technology, Hyundai Engineering & Construction)
Yoon, Yong Nam (Water Resources Dept., Saman Corporation)
Publication Information
Journal of Korean Society on Water Environment / v.22, no.6, 2006 , pp. 1088-1093 More about this Journal
Abstract
In this study, the method of annual sediment estimation for reservoir long-term operation is proposed. Long-term daily precipitation and evaporation are predicted by Markov Chain. Using these values, reservoir inflow is simulated by NWS-PC model. Reservoir sediment load is estimated by sediment rating relation curve which is observed. From the simulation results, it was found that each simulated value by Markov Chain and NWS-PC was well compared to the observed ones and also estimated reservoir sediment was appropriate to the compared values using empirical equations. It is thought that the proposed method for estimation of reservoir sediment can be useful used to operate the reservoir.
Keywords
Markov chain; NWS-PC; Reservoir sediment; Sediment rating curve;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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