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http://dx.doi.org/10.3741/JKWRA.2004.37.11.969

Grid Based Rainfall-Runoff Modeling Using Storage Function Method  

Shin, Cheol-Kyun (한국수자원공사 물관리센터)
Cho, Hyo-Seob (일신하이텍 기술연구소)
Jung, Kwan-Sue (충남대학교 공과대학 토목공학과)
Kim, Jae-Han (충남대학교 공과대학 토목공학과)
Publication Information
Journal of Korea Water Resources Association / v.37, no.11, 2004 , pp. 969-978 More about this Journal
Abstract
According to the report of hydrologic modeling study, from a quantitative point of view, a lumped model is more efficient than a distributed model. A distributed model has to simplify geospatial characteristics for the shake of restricted application on computer calculation and field observation. In this reason, a distributed model can not help having some errors of water quantity modelling. However, considering a distribution of rainfall-runoff reflected spatial characteristics, a distributed model is more efficient to simulate a flow of surface water, The purpose of this study is modeling of spatial rainfall-runoff of surface water using grid based distributed model, which is consisted of storage function model and essential basin-channel parameters( slope, flow direction & accumulation), and that procedure is able to be executed at a personal computer. The prototype of this model is developed in Heongseong Multipunose Dam basin and adapted in Hapchon Multipurpose Dam basin, which is larger than the former about five times. The efficiency coefficients in result of two dam basin simulations are more than about 0.9, but ones at the upstream water level gauge station meet with bad result owing to overestimated rating curves in high water level. As a result of this study, it is easily implemented that spatially distributed rainfall-runoff model using GIS, and geophysical characteristics of the catchment, hereafter it is anticipated that this model is easily able to apply rainfall data by real time.
Keywords
Rainfall-Runoff Model; Distributed Model; Storage Function; GIS Model;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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