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DOI : 10.17640/KSWST.2017.25.4.95 ,    Vol.25, No.4, 95 ~ 105, 2017
Title
Assessment of an Anisotropic Spatial Interpolation Method with XY-to-SN Coordinate Transformation for Predicting River Morphology and Topology
심규현 Gyu-hyun Shim , 이병준 Byung-joon Lee
Abstract
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.
Key Words
River, Bathymetry, Interpolation, Coordinate Transformation, Kriging
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