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Explicit analytical solutions for one-dimensional steady state flow in layered, heterogeneous unsaturated soils under random boundary conditions

机译:层状非均质非饱和土随机边界条件下一维稳态渗流的显式解析解

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In this study, we directly derive first-order analytical solutions to the pressure head moments (mean and variance) for one-dimensional steady state unsaturated flow in randomly heterogeneous layered soil columns under various random boundary conditions. We assume that the constitutive relation between the unsaturated hydraulic conductivity and the pressure head follows an exponential model, and treat the saturated hydraulic conductivity K_s as a random function and the pore size distribution parameter a as a random constant. Unlike the solution given in Lu and Zhang (2004) in which Kirchhoff transformation was used and the solution to pressure head variance was presented as a function of (cross-)covariances related to the intermediate, Kirchhoff-transformed variable, the solution to the pressure head variance presented in this paper is an explicit function of the input variabilities. In addition, we also give analytical solutions to the statistics of the unsaturated hydraulic conductivity and the effective water content. These first-order analytical solutions are compared with those from Monte Carlo simulations. We also investigated the effect of uncertain boundary conditions, the relative contribution of input variabilities to the head variance, and the possible errors introduced by treating the correlated α field as a random constant in the analytical solutions. The results indicate that the uncertain constant head at the bottom of a deep soil column may not have a significant effect on predicting flow statistics in the upper portion of the column. Furthermore, it is found that treating a as a random constant is justified when the correlation length of α is relatively large as compared to the layer thickness.
机译:在这项研究中,我们直接得出一阶解析解,用于在各种随机边界条件下,随机非均质层状土柱中一维稳态非饱和流的压头矩(均值和方差)。我们假设不饱和导水率与压头之间的本构关系遵循指数模型,将饱和导水率K_s视为随机函数,将孔径分布参数a视为随机常数。不同于Lu和Zhang(2004)中给出的解决方案,其中使用了Kirchhoff变换,而压头差的解决方案则是与中间Kirchhoff变换变量相关的(互)协方差的函数,即压力的解决方案。本文提出的头部差异是输入差异的显式函数。此外,我们还为不饱和导水率和有效含水量的统计提供了解析解。将这些一阶分析解决方案与蒙特卡洛模拟的解决方案进行了比较。我们还研究了不确定边界条件的影响,输入变异性对头部变异性的相对贡献以及在分析解决方案中通过将相关α字段视为随机常数而引入的可能误差。结果表明,深土柱底部不确定的恒定水头可能不会对预测柱上部的流量统计产生重大影响。此外,发现当α的相关长度与层厚度相比较大时,将α视为随机常数是合理的。

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