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Estimating effective longitudinal dispersion in the Chesapeake Bay

机译:估计切萨皮克湾的有效纵向扩散

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An analysis of Environmental Protection Agency's Chesapeake Bay Program hydrographic dataset shows that the bay responds coherently to variability in freshwater flux. Mean salinity and salinity stratification both respond to variability in freshwater flux on time scales of roughly 90 days. Stratification is also influenced by local wind forcing but on much shorter (4―5 day) time scales. The volume of available data allows the effective longitudinal dispersion coefficient to be estimated as a function of either time or space. Values for this dispersion coefficient vary between 200 and 1000m~2s~(-1), with mean values around 650m~2s~(-1). The spatially dependent structure has a maximum roughly 75 km from the head of the estuary, and decreases gradually towards the mouth. The temporally varying effective dispersion varies spatially as the inverse of the estuarine cross-section, and temporally as the cube root of the freshwater flux, and is at least qualitatively consistent with models of estuarine circulation and results of previous field studies. Estimates of the numerical values of the dispersion are useful for better understanding distributions of other tracers within the bay, as well as providing another metric against which numerical models should be measured.
机译:对环境保护署切萨皮克湾计划水文数据集的分析表明,该湾对淡水通量的变化具有连贯的响应。平均盐度和盐度分层都在大约90天的时间尺度上响应淡水通量的变化。分层也受当地风力的影响,但时间尺度要短得多(4-5天)。可用数据量允许根据时间或空间估算有效的纵向弥散系数。该色散系数的值在200至1000m〜2s〜(-1)之间变化,平均值约为650m〜2s〜(-1)。与空间有关的结构距河口顶部的最大距离约为75公里,并逐渐向河口减小。随时间变化的有效扩散在空间上随着河口横截面的倒数而变化,在时间上随着淡水通量的立方根而变化,并且至少在质量上与河口环流模型和先前的田间研究结果一致。色散值的估计值对于更好地了解海湾中其他示踪剂的分布以及为测量数值模型提供另一个度量标准很有用。

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