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Stochastic numerical analysis of anomalous longitudinal dispersion and dilution in shallow decelerating stream flows

机译:浅层减速流内纵向离散和稀释异常的随机数值分析。

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The paper deals with the numerical analysis of solute dispersion and dilution within shallow stream flows which are characterized by a low gradient and undergo a downstream deceleration, near the confluence into large reservoirs or upstream from fluvial barrages. The main purpose of the study consists in investigating the effect that the size and the slope of the channel induce on solute transport in the presence of backwaters. The analysis, performed by a numerical stochastic Lagrangian approach, detects a characteristic travel time beyond which the longitudinal hydrodynamic dispersion, jointly with dilution, undergoes a drastic decline. One of the key results of the simulations is indeed represented by the possibility to estimate the large-time section-averaged concentration resorting to the classic Gaussian distribution characterized by the actual first- and second-order particle moments and, therefore, by increasing and asymptotically constant values. In addition, the assessment of dilution at cloud scale, performed through the entropic evaluation of the total volume occupied by the solute and a closed-form expression of the geometric mean of the reactor ratio, reveals that, after a transient characterized by the earlier tendency to the cross-sectional mixing, the backwater flows induce a global re-densification of the cloud and a permanent transverse non-uniformity.
机译:本文对溶质在浅水流中的弥散和稀释进行了数值分析,这些浅水流的特征是低梯度并在向大储集层汇合处或河流拦河坝上游汇合处经历下游减速。该研究的主要目的在于调查在死水条件下河道的大小和坡度对溶质运移的影响。通过数值随机拉格朗日方法执行的分析可检测出特征行程时间,在该行程时间内,纵向水动力弥散与稀释一起急剧下降。仿真的关键结果之一确实是可以通过估计经典的高斯分布来估计大截面平均浓度的可能性,经典的高斯分布的特征在于实际的一阶和二阶粒子矩,因此可以通过渐近地增加和渐近常数值。此外,通过熵评估溶质所占的总体积和反应器比率的几何平均值的闭式表达,对云规模的稀释度进行了评估,结果表明,在出现瞬态特征之前,存在较早的趋势对于横截面混合,回水流引起云的整体再致密化和永久的横向不均匀性。

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