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Stochastic analysis of field-scale heat advection in heterogeneous aquifers

机译:非均质含水层场尺度热对流的随机分析

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Owing to the analogy between the solute and heattransport processes, it can be expected that the rate of growth of thespatial second moments of the heat flux in a heterogeneous aquifer overrelatively large space scales is greater than that predicted by applying theclassical heat transport model. The motivation of stochastic analysis ofheat transport at the field scale is therefore to quantify the enhancedgrowth of the field-scale second moments caused by the spatially varyingspecific discharge field. Within the framework of stochastic theory, aneffective advection-dispersion equation containing effective parameters(namely, the macrodispersion coefficients) is developed to model the meantemperature field. The rate of growth of the field-scale spatial secondmoments of the mean temperature field in the principal coordinate directionsis described by the macrodispersion coefficient. The variance of thetemperature field is also developed to characterize the reliability to beanticipated in applying the mean heat transport model. It is found that theheterogeneity of the medium and the correlation length of the log hydraulicconductivity are important in enhancing the field-scale heat advection,while the effective thermal conductivity plays the role in reducing thefield-scale heat advection.
机译:由于溶质和传热过程之间的类比,可以预期,在相对较大的空间尺度上的非均质含水层中,热通量的空间秒矩的增长率要大于通过应用经典的传热模型所预测的增长率。因此,对场尺度上的热传输进行随机分析的动机是量化由空间变化的特定放电场引起的场尺度第二矩的增强增长。在随机理论的框架内,建立了一个包含有效参数(即大分散系数)的有效对流扩散方程,以模拟平均温度场。平均温度场在主坐标方向上场尺度空间第二矩的增长率,由宏观分散系数描述。还开发了温度场的方差,以表征应用平均热传输模型时要预期的可靠性。研究发现,介质的非均质性和对数水力传导率的相关长度对于增强场尺度的热对流很重要,而有效的热导率在减少场尺度的热对流中起着重要的作用。

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