Enhanced Remediation of Heterogeneous Subsurface Systems
异构地下系统的强化修复
基本信息
- 批准号:7599089
- 负责人:
- 金额:$ 33.26万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:
- 资助国家:美国
- 起止时间:至
- 项目状态:未结题
- 来源:
- 关键词:AddressBehaviorBiological ModelsCellsCharacteristicsClassConditionEnd PointEvolutionExperimental DesignsGoalsHeterogeneityLaboratoriesLiquid substanceMainstreamingMeasuresMethodsModelingOutcomePhaseRangeRecoveryResearchRisk ReductionSimulateSiteSolventsSourceSystemTechnologyTestingTimeWorkaqueousbasebrinedesignimprovedmathematical modelmodel developmentremediationresearch studysuperfund site
项目摘要
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.
该项目的总体目标是推进被致密非水相液体(DNAPLs)污染的地下系统的有效和高效的修复策略,DNAPLs是最常见和最具挑战性的超级基金污染物之一。具体目标涉及基础科学理解的演变和由项目负责人的研究小组开发的一类有前途的浓盐水修复技术的应用。具体目标包括以下内容:(1)将这类技术扩展到常见且具有挑战性的新水文和污染源条件;(2)评价修复对暴露的影响;(3)制定、解决和使用这些系统的改进模型,以帮助提高我们对这些技术的理解和应用。在这项工作中将使用实验室和建模方法相结合的方法。将进行广泛的实验,从确定详细的相行为和物理化学特性的批量实验到旨在模拟所关注的自然系统的异质三维流动细胞实验。数学建模对于推进和测试我们的基本理解,设计实验和解释结果,预测可能无法在实验室中直接评估的现场条件的影响,以及推进在实验室或现场进行评估的潜在更有效的策略至关重要。这项工作很有意义,因为它处理了一个对超级基金至关重要的主流问题。污染地下系统的修复,解决特别困难和普遍的污染物类别,考虑现实的系统,并将推进基本的理解。预计将产生直接影响超级基金站点的结果,包括在英国开发的技术的现场规模使用
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Cass T Miller其他文献
Cass T Miller的其他文献
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{{ truncateString('Cass T Miller', 18)}}的其他基金
Enhanced MDx: a computational model to optimize pre-analytical pathogen isolation from whole blood
增强型 MDx:优化全血分析前病原体分离的计算模型
- 批准号:
10650836 - 财政年份:2020
- 资助金额:
$ 33.26万 - 项目类别:
Enhanced MDx: a computational model to optimize pre-analytical pathogen isolation from whole blood
增强型 MDx:优化全血分析前病原体分离的计算模型
- 批准号:
10484641 - 财政年份:2020
- 资助金额:
$ 33.26万 - 项目类别:
Enhanced MDx: a computational model to optimize pre-analytical pathogen isolation from whole blood.
增强型 MDx:一种优化全血分析前病原体分离的计算模型。
- 批准号:
9909760 - 财政年份:2020
- 资助金额:
$ 33.26万 - 项目类别:
Enhanced Remediation of Heterogeneous Subsurface Systems
异构地下系统的强化修复
- 批准号:
7067254 - 财政年份:2006
- 资助金额:
$ 33.26万 - 项目类别:
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