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http://dx.doi.org/10.17663/JWR.2018.20.1.094

Application of SWAT Model considering Spatial Distribution of Rainfall  

JANG, Daewon (Risk Management Institute, LIG System Co., Ltd.)
KIM, Duckgil (Risk Management Institute, LIG System Co., Ltd.)
KIM, Yonsoo (Risk Management Institute, LIG System Co., Ltd.)
Choi, Wooil (Risk Management Institute, LIG System Co., Ltd.)
Publication Information
Journal of Wetlands Research / v.20, no.1, 2018 , pp. 94-104 More about this Journal
Abstract
In general, the rainfall-runoff simulation is performed using rainfall data from meteorological and observational rain gauge stations. However, if we only use rainfall data from meteorological and observational rain gauge stations for runoff simulation of a large watershed, the problem in the reliability of the simulated runoff can be occurred. Therefore, this study examined the influence of the rainfall data on the simulated runoff volume by a Semi-distributed model. For this, we used rainfall data from meteorological stations, meteorological and observational stations, and a spatially distributed rainfall data from hypothetical stations obtained by kriging method. And, we estimated the areal rainfall of each sub-basin. Also the estimated areal rainfall and the observed rainfall were compared and we compared the simulated runoff volumes using SWAT model by the rainfall data from meteorological and observational rain gauge stations and runoff volume from the estimated areal rainfall by Kriging method were analyzed. This study was performed to examine the accuracy of calculated runoff volume by spatially distributed areal rainfall. The analysis result of this study showed that runoff volume using areal rainfall is similar to observed runoff volume than runoff volume using the rainfall data of weather and rain gauging station. this means that spatially distributed rainfall reflect the real rainfall pattern.
Keywords
Kriging method; SWAT model; Areal rainfall; Virtual gauge station;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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