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首页> 外文期刊>Water resources research >LSPIV Measurements of Two-Dimensional Flow Structure in Streams Using Small Unmanned Aerial Systems: 2. Hydrodynamic Mapping at River Confluences
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LSPIV Measurements of Two-Dimensional Flow Structure in Streams Using Small Unmanned Aerial Systems: 2. Hydrodynamic Mapping at River Confluences

机译:使用小型无人航空系统对河流二维流结构进行LSPIV测量:2.河流汇合处的水动力测绘

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摘要

Although past field work at stream confluences has relied on velocity information at specific cross sections to examine flow structure, detailed characterizations of spatial and temporal variations in the hydrodynamics of confluences are lacking. This study uses large-scale particle image velocimetry (LSPIV) obtained from small unmanned aerial systems (sUAS), a method evaluated in a companion paper, to map surficial patterns of mean flow and turbulent structures at two small stream confluences in unprecedented levels of detail. LSPIV reveals two-dimensional flow patterns within different hydrodynamic zones in each confluence as well as similarities and differences in hydrodynamic conditions between the confluences. As expected based on extant conceptual models of confluence hydrodynamics, the spatial arrangement of characteristic hydrodynamic zones varies with confluence planform geometry and with changes in incoming flow conditions. However, local morphological features, such as bars and irregularities in channel banks, also exert a strong influence on the spatial structure of flow and in some cases influence confluence hydrodynamics to an extent comparable to changes in incoming flow conditions. The usefulness of sUAS-based LSPIV is demonstrated by the correspondence between patterns of flow curvature revealed by this method and patterns of helical motion documented at cross sections within the confluences using acoustic Doppler velocimetry. The method can also be used to characterize the structure of turbulent vortices within the mixing interface between confluent streams under appropriate conditions. Hydrodynamic mapping using sUAS-based LSPIV enriches the interpretation of traditional in-stream velocity data acquired in the field and provides information on surface velocity patterns in rivers at a resolution similar to that of numerical models.
机译:尽管过去在汇流处的野外工作已经依靠特定横截面处的速度信息来检查水流结构,但仍缺乏对汇流水动力的时空变化的详细描述。这项研究使用从小型无人机系统(sUAS)获得的大规模粒子图像测速(LSPIV)(一种在同行论文中评估的方法)以前所未有的详细程度绘制了两个小水流汇合处的平均流和湍流结构的表面模式。 LSPIV揭示了每个汇合处不同水动力区内的二维流动模式,以及汇合之间水动力条件的相似性和差异。正如基于合流流体力学的现有概念模型所期望的那样,特征性水力学区域的空间布置随汇合平面几何形状和入流条件的变化而变化。但是,局部形态特征(例如河岸中的条形和不规则形)也对流动的空间结构产生了很大的影响,并且在某些情况下,对汇合水动力的影响程度可与入流条件的变化相媲美。基于sUAS的LSPIV的有用性通过此方法揭示的流动曲率模式与使用声速多普勒测速法在汇合处横截面记录的螺旋运动模式之间的对应关系得到证明。该方法还可用于表征在适当条件下汇合流之间的混合界面内的湍流涡流的结构。使用基于sUAS的LSPIV进行水动力测绘,丰富了对现场采集的传统河内流速数据的解释,并以类似于数值模型的分辨率提供了河流中地表流速模式的信息。

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  • 来源
    《Water resources research》 |2018年第10期|7981-7999|共19页
  • 作者单位

    Univ Illinois, Dept Geog & Geog Informat Sci, Urbana, IL 61801 USA|Indiana Univ, Dept Earth & Atmospher Sci, Bloomington, IN 47405 USA;

    Indiana Univ, Dept Earth & Atmospher Sci, Bloomington, IN 47405 USA;

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