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http://dx.doi.org/10.3741/JKWRA.2017.50.6.359

Experimental study of rainfall spatial variability effect on peak flow variability using a data generation method  

Kim, Nam Won (Korea Institute of Civil Engineering and Building Technology)
Shin, Mun Ju (Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of Korea Water Resources Association / v.50, no.6, 2017 , pp. 359-371 More about this Journal
Abstract
This study generated flood time series of ungauged catchments in the Andongdam catchment using a distributed rainfall-runoff model and data generation method, and extracted the peak flows of 50 catchments to investigate the effect of rainfall spatial variability on peak flow simulation. The model performance statistics for three gauged catchments were reasonable for all events. The flood time series of the 50 catchments were generated using distributed and mean rainfall time series as input. The distribution of the peak flow using the mean rainfall was similar or slightly different to that using the distributed rainfall when the distribution of the distributed rainfall was nearly uniform. However, the distribution of the peak flow using the mean rainfall was reduced significantly compared to that using the distributed rainfall when actual storms moved to the top or bottom of the study catchment, or the rainfall was randomly distributed. These cases were 35% of total number events. Therefore, the spatial variability of rainfall should be considered for flood simulation. In addition, the power law relationship estimated using the peak flow of gauged catchments cannot be used for estimating the peak flow of ungauged independent catchments due to latter's significant variation of the peak flow magnitude.
Keywords
Spatial distribution of rainfall; Spatially extended data; Distributed model; Peak flow distribution; Power law relationship;
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Times Cited By KSCI : 7  (Citation Analysis)
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