Spatial Topographic Interpolation for Meandering Channels

Re-constructing the river bed using the streamline-generation method

“…These algorithms first generate an orthogonal curved grid confined to the body of water and the bottom line. Then, the measured cross-sectional data are applied to streamlines along the grid to interpolate the river hydrography [ 1 , [23] , [24] , [25] , [26] , [27] ]. The accuracy of hydrodynamic numerical models largely depends on the quality of the river bed model (especially along the main channel).…”

Modeling of Hydrodynamics and Sediment Transport in the Mekong Delta

“…River bathymetry in this study was reconstructed from cross sections. Although the river bathymetry was reconstructed using an efficient interpolation method, it contains an error of 0.74 m (Thanh et al, 2020b). One of the major sources of uncertainty stems from the SRTM data.…”

“…van Kessel et al, 2011). The channel topography used in modeling was reproduced from channel cross-sections by an interpolation method (Thanh et al, 2020b) so elevations of the river bank may not be generated accurately. The elevations significantly affect rivers overflowing their banks during the high flow season.…”

The Natural and Socioeconomic Influences on Land-Use Intensity: Evidence from China

“…The average temperature and precipitation of each city were calculated from the corresponding thematic maps, which were produced using the temperature and precipitation datasets, and the inverse distance weighted (IDW) interpolation method [55]. Inverse distance weight is a commonly used method for spatial interpolation and estimation [56][57][58]. The indicator DPR was calculated based on the maps produced using the river data and the Euclidean distance method.…”