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Processes controlling the position of frontal systems in Shark Bay, Western Australia

机译：控制西澳大利亚鲨鱼湾额叶系统位置的过程

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Shark Bay is a large inverse estuary on the west coast of Australia. Analytical and numerical approaches were used to predict the locations and causes of fronts in Shark Bay, and the results were compared with Sea Surface Temperature and field data. The study first applies an analytical theory, widely used in studies of traditional estuaries, to predict the location of fronts, and then applies a 3-D, baroclinic hydrodynamic model to analyze advection of temperature and salinity, and their ultimate influence on density fronts within the Bay. Analytical theory defines a front as a transitional region between mixed and stratified conditions, and it postulates that the location of fronts may be predicted through the balance of stratifying and de-stratifying energy input to the water column, 'the stratification parameter'. In Shark Bay, fronts are predicted where the stratification parameter, S = 3.0. Furthermore, the distribution of the mean tidal velocity magnitude was determined to correlate to regions of high bathymetric gradients, showing that changes in water depth influence the local tidal currents, the value of the stratification parameter and by extension, the location of the fronts. However, calculation of the balance of all major energy inputs reveals a balance between evaporation-driven gravitational flow and tidal mixing in Shark Bay. A numerical model was then used to investigate the hydrodynamic processes contributing to frontal dynamics in Shark Bay. Predicted residual velocities revealed a two-layer flow regime and temperature and salinity simulations accurately reproduced the major frontal features observed at the entrances of the Bay using only tidal forcing and gravitational circulation. However, it was found that wind forcing clearly influenced the distribution of salinity, defining the shape of the major frontal feature inside the Bay.
机译：鲨鱼湾是澳大利亚西海岸的大型逆河口。利用分析和数值方法来预测鲨鱼湾前沿的位置和成因，并将其结果与海表温度和现场数据进行比较。该研究首先应用在传统河口研究中广泛使用的分析理论来预测锋面的位置，然后应用3-D斜压流体动力学模型来分析温度和盐度的平流及其对密度密度前沿的最终影响。海湾。分析理论将前沿定义为混合条件和分层条件之间的过渡区域，并假设可以通过输入水柱的分层能量和去分层能量的平衡（“分层参数”）来预测前沿的位置。在鲨鱼湾，预测分层参数S = 3.0的前沿。此外，确定了平均潮汐速度幅值的分布，使其与高测深梯度区域相关，表明水深的变化会影响当地的潮流，分层参数的值，进而影响锋面的位置。但是，计算所有主要能量输入的平衡后，就会发现鲨鱼湾中蒸发驱动的重力流与潮汐混合之间的平衡。然后使用数值模型研究了有助于鲨鱼湾额叶动力学的流体动力学过程。预测的残余速度揭示了两层流态，温度和盐度模拟仅使用潮汐强迫和重力循环就可以精确地再现在海湾入口处观测到的主要额面特征。然而，发现强迫作用明显影响了盐度的分布，从而确定了海湾内部主要的前陆特征的形状。

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