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http://dx.doi.org/10.3741/JKWRA.2020.53.7.493

Runoff assessment using radar rainfall and precipitation runoff modeling system model  

Kim, Tae-Jeong (Research & Development Division, Korea Institute of Hydrological Survey)
Kim, Sung-Hoon (Research & Development Division, Korea Institute of Hydrological Survey)
Lee, Sung-Ho (Research & Development Division, Korea Institute of Hydrological Survey)
Kim, Chang-Sung (Research & Development Division, Korea Institute of Hydrological Survey)
Kwon, Hyun-Han (Department of Civil & Environmental Engineering, Sejong University)
Publication Information
Journal of Korea Water Resources Association / v.53, no.7, 2020 , pp. 493-505 More about this Journal
Abstract
The rainfall-runoff model has been generally adopted to obtain a consistent runoff sequence with the use of the long-term ground-gauged based precipitation data. The Thiessen polygon is a commonly applied approach for estimating the mean areal rainfall from the ground-gauged precipitation by assigning weight based on the relative areas delineated by a polygon. However, spatial bias is likely to increase due to a sparse network of the rain gauge. This study aims to generate continuous runoff sequences with the mean areal rainfall obtained from radar rainfall estimates through a PRMS rainfall-runoff model. Here, the systematic error of radar rainfall is corrected by applying the G/R Ratio. The results showed that the estimated runoff using the corrected radar rainfall estimates are largely similar and comparable to that of the Thiessen. More importantly, one can expect that the mean areal rainfall obtained from the radar rainfall estimates are more desirable than that of the ground in terms of representing rainfall patterns in space, which in turn leads to significant improvement in the estimation of runoff.
Keywords
Rainfall-runoff model; Area average rainfall; Thiessen polygon; Weather radar; Runoff analysis;
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Times Cited By KSCI : 11  (Citation Analysis)
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