Developing a Robust Bioventing Model

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Mohammad Khodabakhshi Soureshjani, R. Zytner
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引用次数: 0

Abstract

Bioventing is a widely recognized technique for the remediation of petroleum hydrocarbon-contaminated soil. In this study, the objective was to identify an optimal mathematical model that balances accuracy and ease of implementation. A comprehensive review of various models developed for bioventing was conducted wherein the advantages and disadvantages of each model were evaluated and compared regarding the different numerical methods used to solve relevant bioventing equations. After investigating the various assumptions and methods from the literature, an improved foundational bioventing model was developed that characterizes gas flow in unsaturated zones where water and non-aqueous phase liquid (NAPL) are present and immobile, accounting for interphase mass transfer and biodegradation, incorporating soil properties through a rate constant correlation. The proposed model was solved using the finite volume method in OpenFOAM, an independent dimensional open-source coding toolbox. The preliminary simulation results of a simple case indicate good agreement with the exact analytical solution of the same equations. This improved bioventing model has the potential to enhance predictions of the remediation process and support the development of efficient remediation strategies for petroleum hydrocarbon-contaminated soil.
开发一个稳健的生物通气模型
生物通气是一种公认的修复石油碳氢化合物污染土壤的技术。在这项研究中,目的是确定一个平衡准确性和易用性的最佳数学模型。对为生物通气开发的各种模型进行了全面审查,其中评估并比较了每个模型的优缺点,以及用于求解相关生物通气方程的不同数值方法。在研究了文献中的各种假设和方法后,开发了一个改进的基础生物通气模型,该模型表征了水和非水相液体(NAPL)存在且不动的不饱和带中的气体流动,考虑了相间传质和生物降解,并通过速率常数相关性结合了土壤特性。所提出的模型是使用OpenFOAM中的有限体积方法求解的,OpenFOAM是一个独立的维度开源编码工具箱。一个简单情况的初步模拟结果表明,与同一方程的精确解析解吻合良好。这种改进的生物通气模型有可能增强对修复过程的预测,并支持开发有效的石油烃污染土壤修复策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematical & Computational Applications
Mathematical & Computational Applications MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
自引率
10.50%
发文量
86
审稿时长
12 weeks
期刊介绍: Mathematical and Computational Applications (MCA) is devoted to original research in the field of engineering, natural sciences or social sciences where mathematical and/or computational techniques are necessary for solving specific problems. The aim of the journal is to provide a medium by which a wide range of experience can be exchanged among researchers from diverse fields such as engineering (electrical, mechanical, civil, industrial, aeronautical, nuclear etc.), natural sciences (physics, mathematics, chemistry, biology etc.) or social sciences (administrative sciences, economics, political sciences etc.). The papers may be theoretical where mathematics is used in a nontrivial way or computational or combination of both. Each paper submitted will be reviewed and only papers of highest quality that contain original ideas and research will be published. Papers containing only experimental techniques and abstract mathematics without any sign of application are discouraged.
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