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Numerical Modelling of Braided Rivers with Structure-from-Motion-Derived Terrain Models

机译:基于运动结构的地形模型对辫状河的数值模拟

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摘要

The development of three-dimensional reconstructions of channel morphology has historically been limited by the high costs of geospatial data collection and software modelling. Advances in image processing, sensor technology and portable remote-sensing platforms, however, now offer the opportunity to derive survey quality terrain models at significantly reduced cost and without traditional deployment and logistical constraints. There is a pressing need to establish whether new geospatial technologies such as structure-from-motion photogrammetry can be used to deliver topographic data products that are suitable for higher-dimensional hydrodynamic modelling. To address this question, we evaluate the results of simulations using Delft3D that were designed to model distributed, depth-averaged flows in a wide, shallow, gravel-bed braided river. The topography for these simulations was derived from digital elevation models (DEMs) generated using structure-from-motion and optical bathymetric mapping of two linked reaches of the Ahuriri River, New Zealand. The DEM quality achieved vertical surface errors of 0.10m in non-vegetated areas and 0.20m in inundated areas. Simulations with 1.5m and 2.5m resolution grids for low-flow, medium-flow and high-flow conditions were calibrated and tested against field real-time kinematic-global navigation satellite system observations. Results revealed that modelled depth errors were comparable to the DEM uncertainty, while simulated and observed inundation patterns achieve a maximum of 81% agreement. Given the complexity of the braided network and shallow flow depths, these simulations provide a powerful demonstration of the suitability of these terrain models for hydrodynamic applications. Copyright (c) 2015 John Wiley & Sons, Ltd.
机译:历史上,通道形态的三维重建的发展一直受到地理空间数据收集和软件建模的高昂费用的限制。但是,图像处理,传感器技术和便携式遥感平台的进步现在提供了以显着降低的成本,没有传统部署和后勤约束的情况下获得测量质量地形模型的机会。迫切需要确定是否可以使用新的地理空间技术(例如从运动中进行结构的摄影测量法)来交付适合于高维水动力建模的地形数据产品。为了解决这个问题,我们评估了使用Delft3D进行的模拟结果,这些结果旨在对宽而浅的砾石层辫状河中分布的,深度平均的流量进行建模。这些模拟的地形来自数字高程模型(DEM),该数字高程是使用运动的结构和光学测深图对新西兰Ahuriri河的两个相连河段进行绘制而生成的。 DEM质量在非植被区域实现了0.10m的垂直表面误差,在淹没区域实现了0.20m的垂直表面误差。使用1.5m和2.5m分辨率的网格对低流量,中流量和高流量条件的模拟进行了校准,并针对现场实时运动学-全球导航卫星系统观测结果进行了测试。结果表明,模拟的深度误差可与DEM不确定度相比,而模拟和观察到的淹没模式最大可达到81%的一致性。考虑到编织网络的复杂性和浅水深度,这些模拟提供了这些地形模型适用于水动力应用的有力证明。版权所有(c)2015 John Wiley&Sons,Ltd.

著录项

  • 来源
    《River Research and Applications》 |2016年第5期|1071-1081|共11页
  • 作者单位

    Univ Canterbury, Dept Civil & Nat Resources Engn, Coll Engn, Private Bag 4800, Christchurch 8140, New Zealand;

    Natl Inst Water & Atmospher Res NIWA, Auckland, New Zealand;

    Natl Inst Water & Atmospher Res NIWA, Sediment Proc, Auckland, New Zealand;

    Univ Canterbury, Dept Civil & Nat Resources Engn, Coll Engn, Private Bag 4800, Christchurch 8140, New Zealand;

    Queen Mary Univ London, Sch Geog, London, England;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    numerical; modelling; SfM; braided rivers; Delft3D;

    机译:数值模拟SfM辫状河Delft3D;

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