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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >Digital mapping of riverine waterway hydrodynamic and geomorphic features
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Digital mapping of riverine waterway hydrodynamic and geomorphic features

机译:河流水道水动力和地貌特征的数字制图

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This paper proposes an innovative, non-intrusive method for mapping waterway characteristics in riverine areas. The technique uses photogrammetry to provide quantitative information about the dry area in the vicinity of the waterways (banks and floodplain) and image processing algorithms to characterize the flow. Riverside images of a riverine area are decomposed into quasi-planar areas and ortho-rectified and re-assembled to obtain a panoramic ortho-view of the area of interest. Morphological features of interest (such as river bank positions, flood plain edges, mud deposits, vegetation and erosion patterns) are then identified on the ortho-view and mapped digitally. Image sequences of the river flow are recorded, allowing a surface velocity analysis to be obtained through Large Scale Particle Image Velocimetry (LSPIV). Finally, the mapped elements and the surface velocities are displayed together in a GIS-like visualization. Through the presentation of a case study of a flood event at a culvert site, this paper demonstrates the capability of the technique to monitor characteristics of waterways over time. The method is inexpensive (a conventional video or digital camera can be used), fast and requires minimum preparation. It can be applied in such important river-related research areas as morphodynamic and sediment transport studies. It also fosters an improved understanding of the coupling between the river and its banks, which is essential for river restoration and eco-habitat studies. The present methodology is readily available for implementation in routine bridge inspections, fitted with an easy-to-use graphical interface. Copyright (C) 2009 John Wiley & Sons, Ltd.
机译:本文提出了一种创新的,非侵入性的方法来绘制河流地区的水路特征。该技术使用摄影测量法提供有关水道(河岸和洪泛区)附近干燥区域的定量信息,并使用图像处理算法来表征水流。河流区域的河边图像被分解为准平面区域,并经过正射校正和重新组合以获得感兴趣区域的全景正射影像。感兴趣的形态特征(例如河岸位置,洪水平原边缘,泥浆沉积,植被和侵蚀模式)随后在直视视图上被识别并以数字方式绘制。记录河流的图像序列,从而可以通过大型粒子图像测速(LSPIV)进行表面速度分析。最后,在类似于GIS的可视化中将映射的元素和表面速度一起显示。通过介绍涵洞现场的洪水事件的案例研究,本文证明了该技术能够随时间监测水道特征的能力。该方法便宜(可以使用常规的视频或数码相机),速度快并且需要最少的准备。它可用于与河水有关的重要研究领域,例如形态动力学和泥沙运移研究。它还有助于增进对河流及其两岸之间耦合的理解,这对于河流恢复和生态栖息地研究至关重要。本方法易于在常规桥梁检查中实施,并配有易于使用的图形界面。版权所有(C)2009 John Wiley&Sons,Ltd.

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