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首页> 外文期刊>Journal of Hazardous Materials >Air distribution during in situ air sparging: an overview of mathematical modeling
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Air distribution during in situ air sparging: an overview of mathematical modeling

机译：原位空气喷射过程中的空气分配：数学建模概述

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The performance of in situ air sparging is controlled by the distribution of air pathways in the subsurface, which is in turn controlled by the structure of the medium to be sparged. The specific pathways that the air follows are determined, at the grain scale, by the distribution of air entry pressures of the pores. At the field scale, pore size distributions are usually correlated with heterogeneous structures (e.g. layers) within the medium, which control the macroscopic distribution of the air. The processes that produce an observed air distribution at a particular site are complicated, and are potentially well suited to modeling with multiphase flow models. Recent numerical modeling of heterogeneous media appears to successfully represent expected distributions of air; however, current models do not provide a tool to predict sparging performance. For this to be the case, the models need to represent the detailed structure of the medium at the site to be studied, as well as to capture the relevant aspects of the discrete air/water distribution (i.e. represent air channels at the centimeter or smaller scale). This will in general require a level of site data that is not available and numerical models that require many millions of computational elements. As a consequence, at least for the foreseeable future, numerical modeling of the air sparging process will continue to play a vital role as a conceptual tool with limited predictive capability at sites.
机译：原位空气喷射的性能由地下空气通道的分布控制，而空气通道的分布又由要喷射的介质的结构控制。空气遵循的特定路径在晶粒度上由孔的空气进入压力的分布确定。在田间规模上，孔径分布通常与介质中的异质结构（例如，层）相关，介质控制空气的宏观分布。在特定位置产生观察到的空气分布的过程非常复杂，并且可能非常适合使用多相流模型进行建模。最近对异质介质的数值模拟似乎成功地代表了空气的预期分布。但是，当前模型没有提供预测喷射性能的工具。对于这种情况，模型需要代表待研究地点的介质的详细结构，以及捕获离散的空气/水分布的相关方面（即代表厘米或更小的空气通道）规模）。通常，这将需要一定程度的站点数据，而数字模型则需要数百万个计算元素。结果，至少在可预见的将来，空气喷射过程的数值模拟将继续作为概念工具，在现场具有有限的预测能力，发挥至关重要的作用。

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