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Application of large scale PIV in river surface turbulence measurements and water depth estimation

机译:大规模PIV在河流表面湍流测量和水深估计中的应用

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Large-Scale Particle Image Velocimetry (LSPIV) has emerged as a reliable technology to measure river surface flow velocity distribution and can be applied to estimate river discharge. Fewer studies have explored the capability of surface turbulence measurements using LSPIV. In this paper, LSPIV is applied to evaluate statistics of surface turbulence of a natural river. Turbulence measurements including velocity fluctuation, velocity spectra and the dissipation rate of turbulent kinetic energy (TKE) are validated by comparing with those measured by an Acoustic Doppler Velocimeter (ADV). Traditionally, estimation of stream discharge through LSPIV needs a secondary measurement to determine river bathymetry and water depth. A new method is presented here to demonstrate that for a fully developed and channel-controlled flow, the cross section geometry can be estimated from the combined measurements of surface mean velocity and the dissipation rate, following the Manning-Strickler formula. Therefore, river discharge can be estimated with LSPIV along with a calibrated Manning's roughness, without additional bathymetry survey. The proposed new method is applied to measure discharge in Milwaukee River (Milwaukee, Wisconsin, U.S.A.), which agreed well with data obtained from a nearby streamgage station.
机译:大规模的粒子图像VELOCIMETRY(LPIV)已成为可靠的技术来测量河流表面流速分布,可应用于估算河流放电。更少的研究使用LPIV探索了表面湍流测量的能力。本文应用了LPIV,以评估天然河流表面湍流的统计数据。通过与由声学多普勒速度计(AV)测量的那些进行比较,验证包括速度波动,速度光谱(TKE)的速度波动,速度光谱和耗散速率的湍流测量。传统上,通过LPPIV的流放电估计需要次要测量以确定河流浴和水深。这里提出了一种新方法来证明,对于完全开发和通道控制的流动,可以根据曼宁 - 斯特克勒公式的表面平均速度和耗散速率的组合测量估计横截面几何形状。因此,河流放电可以用LPIV估计,以及校准的曼宁的粗糙度,没有额外的沐浴疗法调查。拟议的新方法适用于衡量密尔沃基河(Milwaukee,Wisconsin,U.S.A)的出院,这与从附近的速速获得的数据吻合得很好。

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