Processes influencing natural attenuation of organic con

影响有机污染物自然衰减的过程

• 批准号: 6579881
• 负责人: LINDA M ABRIOLA
• 金额: $ 20.41万
• 依托单位: MICHIGAN STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-04-01 至 2003-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6579881
• 关键词: adsorption; biotransformation; carbopolycyclic compound; chemical kinetics; chlorohydrocarbon; computer simulation; environmental contamination; environmental engineering; environmental exposure; environmental toxicology; environmental transport; enzyme activity; gene environment interaction; gene expression; ground water; hazardous substances; mathematical model; microorganism; nonwater solvent; soil pollution; soil sampling; water flow; water pollution; water sampling /testing

This research will provide a basis for quantifying the relationship between contaminant exposure history and regulation of microbial biodegradative capabilities in natural porous media under flowing conditions representative of field scale plume contamination scenarios (low substrate concentrations and low levels of mixed electron acceptors [oxygen and nitrate]. Processes influences natural attenuation of four model compounds, representing three classes of priority contaminants (fuel hydrocarbons, chlorinated solvents, and polynuclear aromatic hydrocarbons) will be investigated. Well-characterized microbial/contaminant/porous media systems will be used to develop validated mathematical tools for the description of pollutant elution, transport, and microbial transformation. The experimental design is based on a series of integrated studies that range in scale from molecular (regulation of biodegradative pathways), to batch (kinetics of contaminant utilization), to bench-scale (flowing column studies), to field scale (stimulations of field conditions). Batch and column studies are proposed to: 1) evaluate the influence of substrate composition, porous media characteristics, and concentration exposure history of biodegradative gene expression under natural attenuation conditions; 2) investigate links between contaminant exposure history and regulation of biodegradative functions; 3) evaluate the influence of surface attachment on expression of biodegradative capabilities under natural attenuation conditions; and 4) develop state-of-the-art mathematical models to validate conceptual models, test hypotheses, and explore the implications of laboratory findings at the field scale. at the field scale. Knowledge gained from this Project pertaining to processes influencing microbial transformations will provide the foundation for improved Superfund site remediation at chlorinated solvent and hydrocarbon contaminated sites. In addition the work proposed here, in conjunction with Project 4e, will allow for development of approaches for assessment of 'alternative endpoint' clean- up standards under intrinsic and engineered remediation conditions.

这项研究将为量化在代表现场规模羽流污染场景的流动条件下污染物暴露历史与天然多孔介质中微生物生物降解能力之间的关系提供基础（低底物浓度和低水平的混合电子受体[氧气和硝酸盐]）将研究影响四种模型化合物自然衰减的过程，这些模型化合物代表三类优先污染物（燃料碳氢化合物、氯化溶剂和多核芳烃）。微生物/污染物/多孔介质系统将用于开发经过验证的数学工具，用于描述污染物洗脱、运输和微生物转化。实验设计基于一系列从分子（生物降解途径的调节）规模的综合研究。 ）、批次（污染物利用动力学）、实验室规模（流动柱研究）、现场规模（现场条件的刺激）。建议进行批量和柱研究：1）评估自然衰减条件下底物成分、多孔介质特性和浓度暴露历史对生物降解基因表达的影响； 2）调查污染物暴露历史与生物降解功能调节之间的联系； 3）评估自然衰减条件下表面附着对生物降解能力表达的影响； 4) 开发最先进的数学模型来验证概念模型、测试假设并探索实验室研究结果在现场规模的影响。在现场规模上。从该项目中获得的有关影响微生物转化过程的知识将为改进超级基金对氯化溶剂和碳氢化合物污染场地的场地修复奠定基础。此外，这里提出的工作与项目 4e 相结合，将允许开发在内在和工程修复条件下评估“替代终点”清理标准的方法。