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首页> 外文期刊>Journal of Hydroinformatics >Subsurface characterization using a D-optimality based pilot point method
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Subsurface characterization using a D-optimality based pilot point method

机译：使用基于D最优的先导点法进行地下表征

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Detailed hydraulic conductivity estimation is a difficult problem as the number of direct measurements available at a typical field site is relatively few and sparse. A common approach to estimate hydraulic conductivity is to combine direct hydraulic conductivity measurements with secondary measurements such as hydraulic head and tracer concentrations in an inverse modeling approach. Even with secondary measurements this may constitute an underdetermined (or over-parameterized) inverse problem giving rise to 'non-unique' and incorrect estimates. One approach to reduce over-parameterization is to estimate hydraulic conductivity at a few carefully chosen points called 'pilot points' (i.e. reduction in parameter space). This paper develops a D-optimality based criterion method (DBM) for pilot point selection and tests its effectiveness for estimating hydraulic conductivity fields using several synthetic cases. Results show that the selected pilot points using this approach lead to a more accurate hydraulic conductivity characterization than either random or sequential pilot point location selection methods.
机译：详细的水力传导率估算是一个难题，因为在典型的现场现场可进行的直接测量数量相对较少且稀疏。估算水力传导率的一种常用方法是在逆建模方法中将直接水力传导率测量结果与诸如水头和示踪剂浓度之类的辅助测量结果结合起来。即使使用二次测量，也可能构成欠定（或过参数化）的逆问题，从而导致“非唯一”和错误的估计。减少过参数化的一种方法是在称为“先导点”的几个精心选择的点（即参数空间的减少）处估计水力传导率。本文开发了一种基于D最优性的标准方法（DBM）用于先导点选择，并使用几种综合案例测试了其在估算水力传导率场方面的有效性。结果表明，与随机或顺序先导点位置选择方法相比，使用此方法选择的先导点可导致更精确的水力传导率表征。

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