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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >Effect of transect location, transect spacing and interpolation methods on river bathymetry accuracy
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Effect of transect location, transect spacing and interpolation methods on river bathymetry accuracy

机译:样条位置,样条间距和插值方法对河流测深精度的影响

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摘要

Digital elevation models (DEMs) of river channel bathymetries are developed by interpolating elevations between data collected at discrete points or along transects. The accuracy of interpolated bathymetries depends on measurement error, the density and distribution of point data, and the interpolation method. Whereas point measurement errors can be minimized by selecting the most efficient equipment, the effect of data density and interpolation method on river bathymetry is relatively unknown. Thus, this study focuses on transect-based collection methods and investigates the effects of transect location, the spacing between transects, and interpolation methods on the accuracy of interpolated bathymetry. This is accomplished by comparing four control bathymetries generated from accurate and high resolution, sub-meter scale data to bathymetries interpolated from transect data extracted from the control bathymetries using two transect locating methods and four interpolation methods. The transect locating methods are a morphologically-spaced and an equally-spaced model. The four interpolation methods are Ordinary Kriging, Delaunay Triangulation, and Simple Linear, which are applied in curvilinear coordinates (Delaunay Triangulation is also applied in Cartesian coordinates), and Natural Neighbor only in Cartesian Coordinates. The bathymetric data were obtained from morphologically simple and complex reaches of a large (average bankfull width = 90 m) and a small (average bankfull width = 17 m) river. The accuracy of the developed DEMs is assessed using statistical analysis of the differences between the control and interpolated bathymetries and hydraulic parameters assessed from bankfull water surface elevations. Results indicate that DEM accuracy is not influenced by the choice of transect location method (with same averaged cross-section spacing) or a specific interpolation method, but rather by the coordinate system for which the interpolation method is applied and the spacing between transects. They also show negligible differences between the mean depths and surface areas calculated from bathymetries with dense or coarse spacing. Copyright (C) 2016 John Wiley & Sons, Ltd.
机译:河道测深的数字高程模型(DEM)是通过在离散点或沿断面收集的数据之间插入高程来开发的。内插测深的精度取决于测量误差,点数据的密度和分布以及内插方法。尽管可以通过选择最高效的设备来最大程度地减少点测量误差,但是相对未知数据密度和插值方法对河流测深的影响。因此,本研究着重于基于样条线的收集方法,并研究了样条线位置,样条线之间的间距以及插值方法对插值测深的准确性的影响。这是通过使用两种样带定位方法和四种插值方法,将由准确和高分辨率的亚米级尺度数据生成的四个控制测距与从控制测距中提取的断面数据插值的测深进行比较而实现的。样条定位方法是形态间隔和等距模型。四种插值方法是普通Kriging,Delaunay三角剖分和简单线性,它们应用于曲线坐标(Delaunay三角剖分也应用于直角坐标),而自然邻域仅在直角坐标中。从大河(平均河岸宽= 90 m)和小河(平均河岸宽= 17 m)的形态简单和复杂的河段获得测深数据。发达的DEM的准确性是通过对对照和插补测深与水参数的差异进行统计分析来评估的,而这些参数是从满水面高程评估的。结果表明,DEM精度不受样条位置方法(具有相同的平均横截面间距)的选择或特定的插值方法的影响,而是受采用插值方法的坐标系统以及样条之间的间距的影响。它们还显示出平均深度和表面积之间的差异可以忽略不计,该深度由具有密集或粗略间距的等深线计算得出。版权所有(C)2016 John Wiley&Sons,Ltd.

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