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좌표계 변환 및 비등방성 통계학적 기법을 활용한 하천지형 공간보간법 연구
심규현 ( Gyu-hyun Shim ),이병준 ( Byung-joon Lee ) 한국수처리학회(구 한국수처리기술연구회) 2017 한국수처리학회지 Vol.25 No.4
The recent river environment, vulnerable to extreme climate change, induces the use of 2, 3-dimensional hydrodynamic models to simulate river flow in extreme events like flood and drought. The simulation quality of such a multi-dimensional hydrodynamic model depends primarily on the morphology/topology of the river bed. Because the number of measured bathymetry data are not enough, a spatial interpolation method should be used to predict the river bed morphology/topography. Most of the current spatial interpolation methods however are isotropic, disregarding the river flow direction. Therefore, in this study, anisotrophic spatial interpolation methods were evaluated for their capability of predicting the river bed morphology/topology. Especially, the interpolation methods of inverse distance weighting, spline and kriging, combined with coordinate transformation from XY cartesian to SN curvilinear coordinates, were evaluated for their capability. Among them, the anisotrophic ordinary kriging with XY-to-SN coordinate transformation was proven the most accurate and reliable interpolation method for predicting the river bed morphology/topology. This state-of-the-art spatial interpolation method will help better prediction of the river bed morphology/topology and the 2, 3-dimensional hydrodynamics.
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