Enhanced Remediation of Heterogeneous Subsurface Systems

该项目的总体目标是为被稠密的非水相液体(DNAPL)污染的地下系统推进有效和高效的补救策略，DNAPL是Superfund最常见和最具挑战性的污染物之一。具体目标包括对基本科学认识的发展和项目领导研究小组开发的一类有前景的浓盐水补救技术的应用。具体目标包括：(1)将这类技术推广到既常见又具有挑战性的新的水文和污染源条件；(2)评估补救措施对暴露的影响；以及(3)制定、解决和使用这些系统的改进模型，以帮助促进我们对这些技术的理解和应用。在这项工作中将结合使用实验室和建模方法。将进行广泛的实验，从批量实验以确定详细的相行为和物理化学特性，到在旨在模拟所关注的自然体系的非均质三维流动池中进行实验。数学建模对于促进和测试我们的基本理解、设计实验和解释结果、预测无法在实验室直接评估的可能的现场条件的影响，以及提出在实验室或现场评估可能更有效的策略将是至关重要的。这项工作具有重要意义，因为它处理了一个对超级基金至关重要的主流问题--污染地下系统的补救，解决了特别困难和普遍存在的污染物类别，考虑了现实的系统，并将促进基本理解。预计将取得直接影响超级基金地点的成果，包括现场规模使用在 这个项目。

The overall goal of this project is to advance effective and efficient remediation strategies for subsurface systems contaminated by dense non-aqueous phase liquids (DNAPLs), which are among the most common and most challenging of Superfund contaminants. The specific aims involve the evolution of fundamental scientific understanding and application of a promising class of dense-brine remediation technologies developed by the project leader's research group. The specific aims include the following: (1) to extend this class of technologies to new sets of hydrological and contaminant source conditions that are both common and challenging; (2) to evaluate the impact of remediation on exposure; and (3) to formulate, solve, and use improved models of these systems to help advance our understanding and application of these technologies. A combination of laboratory and modeling approaches will be used in this work. A wide range of experiments will be performed, from batch experiments to determine detailed phase behavior and physicochemical characteristics to experiments in heterogeneous three-dimensional flow cells intended to mimic the natural systems of concern. Mathematical modeling will be essential for advancing and testing our fundamental understanding, designing experiments and interpreting the results, predicting the effect of likely field conditions that cannot be evaluated directly in the laboratory, and advancing potentially more efficient strategies to be evaluated in the laboratory or field. This work is of significance because it deals with a mainstream issue of importance to Superfund?remediation of contaminated subsurface systems, addresses especially difficult and prevalent classes of contaminants, considers realistic systems, and will advance fundamental understanding. Outcomes that directly impact Superfund sites are expected, including field-scale use of the technologies developed in this project.