通过泥沙负荷变化的混合观测水流和湍流

J. Dugan, C. Piotrowski
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引用次数: 2

摘要

利用航空时间序列图像测量重力波的频波数谱,精确定位色散面,获取水深和水流。在浅水中,相同的频率-波数谱经常表现出由水流引起的泥沙输运变化引起的“平流面”,这表明部分混合的水团具有不同的泥沙负荷。这个光谱表面的方向提供了与平流相关的“平均”电流,当波和平流特征都存在时,这个值与重力波多普勒的值一致,在几个百分点之内。本文描述了我们尝试使用这些相同的图像数据来测量在近岸海洋和河口发现的中等浅水中与流动相关的湍流速度。我们给出了湍流涡特征的例子,并证明了图像数据与柯尔莫哥洛夫惯性范围级联是一致的。我们已经尝试用两种不同的方法测量这些流中的短波长(<30 m),较小量级的电流变化,尽管迄今为止我们还没有成功地明确量化它们。然而,我们的实验数据确实为我们提供了一个清晰的概念,即在我们的时空图像数据中完成这一任务所必需的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EO observations of currents and turbulence via mixing of sediment load variations
Airborne time series imagery is used to measure frequency-wavenumber spectra of gravity waves, accurately locating the dispersion surface to retrieve water depths and currents. In shallow water, the same frequency-wavenumber spectra often exhibit an ‘advective surface’ caused by flow-induced transport of sediment variations indicative of partly mixed water masses having different sediment loads. The orientation of this spectral surface provides the ‘mean’ current associated with this advection and this value agrees, to within a few percent, with the gravity wave Doppler when both wave and advective signatures are present. This paper describes our attempt to use these same image data to measure the turbulent velocities associated with flows in moderately shallow water found in the near-shore ocean and estuaries. We present examples of turbulent eddy features and demonstrate that the image data are consistent with a Kolmogorov inertial range cascade. We have attempted to measure the short wavelength (<30 m), smaller magnitude current variations in these flows by two separate methods, although we have not been successful in unambiguously quantifying them to date. Our experimental data do, however, provide us with a clear idea of the precision that is necessary to accomplish this in our space-time image data.
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