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Approximate solution of the inverse Richards' problem

机译:理查兹逆问题的近似解

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We propose a method for the estimation of time dependent distributions of pressure head, water content, and fluid flow in homogeneous unsaturated soils with unknown lower boundary conditions using surface measurements only. The unknown boundary condition is replaced by a piecewise constant temporal function and the resulting discontinuity is alleviated by the introduction of a mass balance condition on the solution at discontinuity points. This approach makes it possible to express the analytical solution of Richards' one-dimensional equation as a linear function of a finite number of variables corresponding to the unknown coefficients of the piecewise constant function. While the estimation of unknown boundary belongs to a class of typically ill-posed inverse problems, the simplifications introduced in the algorithm provide for the regulariza-tion of this particular problem without the use of traditional smoothing techniques, such as Tikhonov's method and Morozov's discrepancy principle. A Bayesian estimation method and a unimodal regression algorithm have been employed to test the overall algorithm using simulated data.
机译:我们提出了一种仅使用表面测量方法来估计下边界条件未知的均质非饱和土壤中压头,水含量和流体流量随时间变化的分布的方法。未知的边界条件由分段恒定的时间函数代替,结果不连续性通过在不连续点上在解决方案上引入质量平衡条件而得到缓解。这种方法可以将理查兹的一维方程的解析解表示为与分段常数函数的未知系数相对应的有限数量变量的线性函数。尽管未知边界的估计属于一类典型的不适定逆问题,但算法中引入的简化方法无需使用传统的平滑技术(例如Tikhonov方法和Morozov的差异原理)就可以对该特定问题进行正则化。贝叶斯估计方法和单峰回归算法已被用于使用模拟数据测试整体算法。

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