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Inaccuracy introduced by LiDAR-generated cross sections and its impact on 1D hydrodynamic simulations

机译:LiDAR生成的横截面引入的误差及其对一维流体动力学模拟的影响

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摘要

High-quality topographic data is an essential prerequisite for any hydrologic simulation. In recent years, LiDAR measurements have been used as a reliable method for obtaining such data even though it has its own flaws. This article focuses on analysis of error introduced by LiDAR-based elevation scanning due to the fact that the near-IR laser beam (1,064 nm) cannot penetrate water masses. Such error may affect derived structures (cross sections) and it influences hydrodynamic simulations as well. Motivation for our research was mainly the insufficient amount of measured cross sections on tributary channels in our study area (Moravian-Silesian Region) and evaluation/correction of error dragged into hydrodynamic modeling when LiDAR-based cross sections are used instead. In our article, we compared two data sets of cross sections: real cross sections created from direct measurements of the river channel and cross sections of the same river channel extracted from LiDAR (9 cross sections, 0.2 m LiDAR DEM resolution, gauge stations and flood-plains data were used). As it was expected, the inaccuracies between these two cross-section data sets radically affected the results of the HEC-RAS simulation in the study area (the confluence of rivers Olse and Stonavka). Some known methods for depth estimation and flow area estimation were used for correction of these errors and as a conclusion of the study a recommendation is presented: inaccuracies introduces by LiDAR's inability to penetrate water masses must be taken into account and must be corrected according to the catchment-specific conditions. We also showed that double-linear depth estimation method works well when dealing with low-flow conditions in upland catchment study area.
机译:高质量的地形数据是任何水文模拟的基本前提。近年来,尽管LiDAR测量有其自身的缺陷,但已被用作获取此类数据的可靠方法。由于基于近红外激光束(1,064 nm)无法穿透水团这一事实,本文重点分析了基于LiDAR的高程扫描引入的误差。这样的误差可能会影响派生的结构(横截面),并且也会影响流体动力学模拟。我们研究的动机主要是研究区域(摩拉维亚-西里西亚州)支流通道上测得的横截面数量不足,而当使用基于LiDAR的横截面时,评估/校正的误差被拖入流体动力学模型中。在我们的文章中,我们比较了两个横截面数据集:直接测量河道的实际横截面和从LiDAR提取的同一河道的横截面(9个横截面,0.2 m LiDAR DEM分辨率,量测站和洪水-使用普通数据)。不出所料,这两个横截面数据集之间的不准确性从根本上影响了研究区域(河流Olse和Stonavka的汇合)HEC-RAS模拟的结果。使用一些已知的深度估算和流量面积估算方法来纠正这些误差,并作为研究结论提出了建议:必须考虑到LiDAR无法穿透水团而引起的不准确之处,并且必须根据流域特定条件。我们还表明,双线性深度估计方法在处理山地流域研究区的低流量条件时效果很好。

著录项

  • 来源
    《Environmental earth sciences》 |2015年第1期|1-11|共11页
  • 作者

    M. Podhoranyi; D. Fedorcak;

  • 作者单位

    IT4Innovations, VSB-Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava, Czech Republic;

    IT4Innovations, VSB-Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava, Czech Republic;

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

    LiDAR; Cross section; Hydrodynamic; HEC-RAS;

    机译:激光雷达横截面;流体力学港灯;

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