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http://dx.doi.org/10.3741/JKWRA.2011.44.12.967

Long-term Streamflow Prediction Using ESP and RDAPS Model  

Lee, Sang-Jin (K-water Institute, Water Resources Research Center)
Jeong, Chang-Sam (Dept. of Civil and Envoronment Design, Induk Univ.)
Kim, Joo-Cheol (K-water Institute, Water Resources Research Center)
Hwang, Man-Ha (K-water Institute, Water Resources Research Center)
Publication Information
Journal of Korea Water Resources Association / v.44, no.12, 2011 , pp. 967-974 More about this Journal
Abstract
Based on daily time series from RDAPS numerical weather forecast, Streamflow prediction was simulated and the result of ESP analysis was implemented considering quantitative mid- and long-term forecast to compare the results and review applicability. The result of ESP, ESP considering quantitative weather forecast, and flow forecast from RDAPS numerical weather forecast were compared and analyzed with average observed streamflow in Guem River Basin. Through this process, the improvement effect per method was estimated. The result of ESP considering weather information was satisfactory relatively based on long-term flow forecast simulation result. Discrepancy ratio analysis for estimating accuracy of probability forecast had similar result. It is expected to simulate more accurate flow forecast for RDAPS numerical weather forecast with improved daily scenario including time resolution, which is able to accumulate 3 hours rainfall or continuous simulation estimation.
Keywords
RDAPS; precipitation outlook; ESP; long-term streamflow prediction;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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