首页> 外文期刊>Journal of Geophysical Research, C. Oceans: JGR >Temporal and spatial variability of tidal-fluvial dynamics in the St. Lawrence fluvial estuary: An application of nonstationary tidal harmonic analysis
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Temporal and spatial variability of tidal-fluvial dynamics in the St. Lawrence fluvial estuary: An application of nonstationary tidal harmonic analysis

机译:圣劳伦斯河河口潮汐流动力学的时空变化:非平稳潮汐谐波分析的应用

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Predicting tides in upstream reaches of rivers is a challenge, because tides are highly nonlinear and nonstationary, and accurate short-time predictions of river flow are hard to obtain. In the St. Lawrence fluvial estuary, tide forecasts are produced using a one-dimensional model (ONE-D), forced downstream with harmonic constituents, and upstream with daily discharges using 30 day flow forecasts from Lake Ontario and the Ottawa River. Although this operational forecast system serves its purpose of predicting water levels, information about nonstationary tidal-fluvial processes that can be gained from it is limited, particularly the temporal changes in mean water level and tidal properties (i.e., constituent amplitudes and phases), which are function of river flow and ocean tidal range. In this paper, a harmonic model adapted to nonstationary tides, NS_TIDE, was applied to the St. Lawrence fluvial estuary, where the time-varying external forcing is directly built into the tidal basis functions. Model coefficients from 13 analysis stations were spatially interpolated to allow tide predictions at arbitrary locations as well as to provide insights into the spatiotemporal evolution of tides. Model hindcasts showed substantial improvements compared to classical harmonic analyses at upstream stations. The model was further validated by comparison with ONE-D predictions at a total of 32 stations. The slightly lower accuracy obtained with NS_TIDE is compensated by model simplicity, efficiency, and capacity to represent stage and tidal variations in a very compact way and thus represents a new means for understanding tidal rivers.
机译:预测河流上游的潮汐是一项挑战,因为潮汐是高度非线性且不稳定的,并且很难获得准确的短期河流流量预测。在圣劳伦斯河口河口,使用一维模型(ONE-D)进行潮汐预测,并使用来自安大略湖和渥太华河的30天流量预报向下游施加谐波成分,向上游施加每日排放量。尽管此运行预报系统的目的是预测水位,但可以从中获得的有关非平稳潮汐流过程的信息有限,尤其是平均水位和潮汐特性(即,振幅和相位)的时间变化,是河流流量和海洋潮差的函数。在本文中,将适用于非平稳潮汐的调和模型NS_TIDE应用于圣劳伦斯河河口,其中时变外强迫直接建立在潮汐基函数中。对来自13个分析站的模型系数进行了空间插值,以允许在任意位置进行潮汐预测,并提供潮汐时空演变的见解。与上游站的经典谐波分析相比,模型后预报显示出实质性的改进。通过与总共32个台站的ONE-D预测进行比较,进一步验证了该模型。使用NS_TIDE所获得的精度稍低的值,可以通过模型简单性,效率以及以非常紧凑的方式表示水位和潮汐变化的能力来弥补,从而代表了一种了解潮汐河水的新方法。

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