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Computer Simulation of the Ternary Problem - Technical Aspects and Possibilities

机译:三元问题的计算机模拟 - 技术方面和可能性

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Interaction between groundwater contaminants (e.g. radioactive elements), soil and humic matter plays a crucial role in transport prognoses. This type of interaction, denoted as the ternary problem, may speed up propagation of a contaminant in comparison with the case in the absence of humic compounds. It is very difficult (almost impossible) to find a simple description of the ternary problem in the form of chemical equations. This difficulty is caused by the complex nature of humic substances. Rather than with particular chemical equations, the ternary problem is commonly described by schematic expressions which consider groups of species. The usual approach for the problem formulation is grouping of species resulting in a system of differential and algebraic equations (DAE). This article introduces a different approach allowing a semi-automatic formulation of a system of ordinary differential equations (ODE) for the same problem. The proposed method enables to avoid an operator-splitting already during the model formulation process. The approach for the model formulation and its solution has been implemented using two different open-source software packages. The results have been compared with reference results of a traditional solution approach using DAE systems. The implementation in Python verified the possibility of automation of the formulation and solution. A sensitivity analysis has been performed to evaluate the behaviour of the system with respect to parameter variation.
机译:地下水污染物(例如放射性元素)之间的相互作用在运输预期中起着至关重要的作用。这种类型的相互作用表示为三元问题,可以加速污染物的繁殖与在没有腐殖化合物的情况下的情况相比。非常困难(几乎不可能),以便以化学方程式的形式进行三元问题的简单描述。这种困难是由腐殖质物质的复杂性引起的。而不是特定化学方程式,通常是通过考虑物种组的示意性表达来描述。问题配方的通常方法是对物种分组,导致差分和代数方程(DAE)的系统。本文介绍了一种不同的方法,允许同样的常规方程式(ODE)的半自动配方。所提出的方法使得能够在模型制定过程中避免已经避免了操作员分割。模型配方的方法及其解决方案已经使用了两个不同的开源软件包实现。将结果与使用DAE系统的传统解决方案方法的参考结果进行了比较。 Python的实现验证了配方和解决方案自动化的可能性。已经执行了灵敏度分析以评估系统关于参数变化的行为。

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