Analytical Models for Plume Length Estimations

Analytical Models for Plume Length Estimations
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羽流长度估计的分析模型

DOI:
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发表时间:
2012
期刊:
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通讯作者:
P. K. Yadav
P. K. Yadav
中科院分区:
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文献类型:
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作者:
P. K. Yadav

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本论文讨论了可用于污染场地预评估的技术。该论文的目标基于一个简单的事实,即每个污染场地都具有一定的自然资源退化潜力,特别是地下水和土地资源。该论文的重点是使用数学和统计技术来预测污染羽流的最大长度或 Lmax,它认为这是可用于现场评估的关键参数。作为第一篇论文工作,我们对 KORA 网站的数据进行了编译和分析。分析发现,BTEX 羽流的 Lmax 平均长度低于 150 m。此外,在这项工作中,回顾了可用于估计 Lmax 的分析模型,并提供了比较模型和现场 Lmax 的示例。本论文的第二项工作重点是开发和分析有限平面和完全穿透源的新 3D 分析模型。获得了预测 Lmax 的隐式表达式。对开发模型的分析表明,如果源呈近似正方形,则将产生最长的 Lmax。论文的最后部分通过提出仅部分穿透含水层的有限平面源的表达式,改进了第二项工作中获得的 3D 分析模型。在这项工作中,开发了一种非常简单的数值技术,不仅简化了本文考虑的场景的数值分析,而且还具有用于非常复杂的地下反应输运场景的潜力。本论文成功地缩小了污染场地管理相关问题的研究差距。
This thesis dealt with the techniques that could be used for the preassessment of contaminated sites. The goals of the thesis were based on a simple fact that every contaminated site possesses certain potential to degrade natural resources, specifically groundwater and land resources. The thesis focused on using mathematical and statistical techniques to predict the maximum length of contaminated plumes or Lmax, which it considered as a key parameter that could be used for the site assessment. As the first thesis work, data from KORA sites were compiled and analyzed. From the analyses, it was found that the Lmax for BTEX plumes are in average under 150 m long. Further, for this work, Analytical Models that can be used to estimate Lmax were reviewed and, examples comparing model and field Lmax were presented. The second work for the thesis focused on a development and analysis of a new 3D-analytical model for a finite planar and fully penetrating source. An implicit expression for predicting Lmax was obtained. The analysis of the developed model suggested that the longest Lmax will result if the source takes an approximately square shape. The last part of the thesis improved the 3D-analytical model obtained in the second work by presenting an expression for a finite planar source that only partially penetrates the aquifer. For this work, a very simple numerical technique was developed that not only simplifies numerical analysis of the scenarios considered in this thesis but it also bears potentials to be used for very complex subsurface reaction transport scenarios. This thesis has been successful in narrowing research-gaps on problems related to contaminated sites management.