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http://dx.doi.org/10.3741/JKWRA.2002.35.3.307

Estimation Error of Areal Average Rainfall and Its Effect on Runoff Computation  

Yu, Cheol-Sang (Dept.of Civil Environment Engineering, Sungkyunkwan University)
Kim, Sang-Dan (Research Assistant, Department of Civil and Env. Engr., Korea University)
Yun, Yong-Nam (Dept. of Civil and Envir Engrg, Korea University)
Publication Information
Journal of Korea Water Resources Association / v.35, no.3, 2002 , pp. 307-319 More about this Journal
Abstract
This study used the WGR model to generate the rainfall input and the modified Clark method to estimate the runoff with the aim of investigating how the errors from the areal average rainfall propagates to runoff estimates. This was done for several cases of raingauge density and also by considering several storm directions. Summarizing the study results are as follows. (1) Rainfall and runoff errors decrease exponentially as the raingauge density increases. However, the error stagnates after a threshold density of raingauges. (2) Rainfall errors more affect to runoff estimates when the density of raingauges is relatively low. Generally, the ratio between estimation errors of rainfall and runoff volumes was found much less than one, which indicates that there is a smoothing effect of the basin. However, the ratio between estimation errors of rainfall to peak flow becomes greater than one to indicate the amplification of rainfall effect to peak flow. (3) For the study basin in this studs no significant effect of storm direction could be found. However, the runoff error becomes higher when the storm and drainage directions are identical. Also, the error was found higher for the peak flow than for the overall runoff hydrograph.
Keywords
Rainfall-Runoff; WGR Model; Modified Clark Model; Error Analysis;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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