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http://dx.doi.org/10.3741/JKWRA.2014.47.9.767

Study on Runoff Variation by Spatial Resolution of Input GIS Data by using Distributed Rainfall-Runoff Model  

Jung, Chung Gil (Dept. of Civil & Environmental System Engineering, Konkuk Univ.)
Moon, Jang Won (Korea Institute of Civil Engineering and Building Technology)
Lee, Dong Ryul (Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of Korea Water Resources Association / v.47, no.9, 2014 , pp. 767-776 More about this Journal
Abstract
Changes in climate have largely increased concentrated heavy rainfall, which in turn is causing enormous damages to humans and properties. Floods are one of the most deadly and damaging natural disasters known to mankind. The flood forecasting and warning system concentrates on reducing injuries, deaths, and property damage caused by floods. Therefore, the exact relationship and the spatial variability analysis of hydrometeorological elements and characteristic factors is critical elements to reduce the uncertainty in rainfall-runoff model. In this study, grid resolution depending on the topographic factor in rainfall-runoff models presents how to respond. semi-distribution of rainfall-runoff model using the model GRM simulated and calibrated rainfall-runoff in the Gamcheon and Naeseongcheon watershed. To run the GRM model, input grid data used rainfall (two event), DEM, landuse and soil. This study selected cell size of 500 m(basic), 1 km, 2 km, 5 km, 10 km and 12 km. According to the resolution of each grid, in order to compare simulation results, the runoff hydrograph has been made and the runoff has also been simulated. As a result, runoff volume and peak discharge which simulated cell size of DEM 500 m~12 km were continuously reduced. that results showed decrease tendency. However, input grid data except for DEM have not contributed increase or decrease runoff tendency. These results showed that the more increased cell size of DEM make the more decreased slope value because of the increased horizontal distance.
Keywords
GRM model; distributed rainfall-runoff model; DEM; landuse; soil;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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