Groundwater Remediation Design Using Fuzzy Sets and Fuzzy Logic

9700639 Pinder 该奖项为通过数学程序解决地下水污染问题的系统工程设计方法的研究提供支持，该数学程序在应用描述含水层中地下水模型运动的数学模型来考虑主观信息，以设计地下水含水层净化系统。 研究人员计划定义和制定一套规则，以改善对低剂量受污染地下水暴露与潜在健康风险问题之间关系的描述。 这些规则将用于确定工程设计约束，在生成恢复受污染地下水含水层质量的最低成本解决方案时必须考虑这些约束。 实施定义主观约束的规则后，将引入地下水流和传输模型，这些模型可用于制定含水层恢复的最佳程序。 这项研究预计将提高知识水平，将风险、危险和重要性等定性概念的认知纳入工程师设计恢复含水层地下水质量的程序的过程中。 该项目的结果预计还将有助于解决地下水质量恢复问题所开发的程序的潜在用途，以解决其他环境工程设计问题。 ***

9700639 Pinder This is an award to provide support for research on an approach to engineering design of systems for addressing groundwater pollution problems by a mathematical procedure that takes into consideration subjective information in applying mathematical models describing groundwater models movement in aquifers to design of systems for decontamination of groundwater aquifers. The investigator plans on defining and formulating a set of rules that improves the description of the relationship between exposure to low doses of contaminated groundwater and potential health-based risk-issues. These rules will be used in identifying engineering design constraints that must be taken into consideration in generating least-cost solutions to restoration of the quality of contaminated groundwater aquifers. Implementation of the rules to define the subjective constraints will be followed by their introduction into groundwater flow and transport models that can be used to formulate optimal procedures for restoration of aquifers. This research is expected to advance the state of knowledge by which perceptions of qualitative concepts such as risk, danger and importance can be incorporated into the process by which engineers design procedures for restoration of the quality of groundwater in aquifers. Results of this project are also expected to contribute toward potential use of the procedures developed in addressing groundwater quality restoration problems to solution of other environmental engineering design problems. ***