MODELING AND CONTROL OF CHEMICAL EXPOSURE IN WATER

水中化学物质暴露的建模和控制

• 批准号: 3898040
• 负责人: ROBERT V. THOMANN
• 金额: --
• 依托单位: NEW YORK UNIVERSITY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/3898040
• 关键词: adsorption; aquatic organism; benzene; cadmium; chloroform; chromium; dosage; environmental toxicology; fish; food chain contamination; ground water; halobiphenyl /halotriphenyl compound; methylmercury; model; nickel; toxin metabolism; water pollution; water pollution control; water sampling /testing; water supply

This research is aimed at developing state-of-the-art deterministic/probabilistic modeling frameworks of the fate, transport, and transformation of chemicals released into ground and surface waters for Superfund sites and other sources. The assessment of the risk associated with the total exposure due to Superfund sites and other sources involves evaluation of the hazard (e.g.,potential effect) of the chemical sources and the probability of exposure of the target organisms to the chemicals. The principal aims of this research are to calculate the mean and the probability distribution of the dose of chemicals to humans and aquatic organisms from selected Superfund sites; and predict the change in human dose and aquatic organism body burden due to Superfund remedial action. These aims will be accomplished by compiling existing data on Superfund sites with emphasis of the model chemicals (nickel, chromium, benzene, chloroform, methylmercury, cadmium, and PCB congeners) used in the Biomedical and Ecological components. Contemporary understanding of volatilization, sorption, and microbial degradation processes, together with the kinetics of uptake and disposition of chemicals in fish, will be incorporated into the ground and surface water models. Calibration and verification of the models will be accomplished with site-specific data. Preliminary probability distributions of expected exposure will be provided to Assay and Ecological components for use in laboratory experiments. Model prediction will then be made of the effectiveness of environmental controls at Superfund sites to meet target risk levels.

这项研究旨在发展最新的 命运，运输的确定性/概率建模框架 以及释放到地面和地表水的化学物质的转化 用于超级基金站点和其他来源。 评估风险 与超级基金站点和其他其他有关的总曝光相关 来源涉及评估危害的危害（例如，潜在影响） 化学源和目标生物暴露的可能性 到化学物质。 这项研究的主要目的是计算 化学物质剂量的平均值和概率分布 来自选定超级基金遗址的人类和水生生物；并预测 由于人类剂量和水生生物体负担的变化 超级基金补救措施。 这些目标将通过在超级基金上编写现有数据来实现 强调模型化学物质（镍，铬，苯，， 用于使用氯仿，甲基铁，镉和PCB同源物） 生物医学和生态成分。 当代的理解 挥发，吸附和微生物降解过程，一起 随着摄取和化学物质的摄取动力学，将是 并入地面和地表水模型。 校准和 模型的验证将通过特定于网站的数据来完成。 预期暴露的初步概率分布将是 提供用于用于实验室的测定和生态组件 实验。 然后，模型预测将由环境的有效性做出 在超级基金站点进行控制以满足目标风险水平。