Groundwater Remediation Design Using Fuzzy Sets and Fuzzy Logic

9700639品德这是一个奖项，旨在通过一种数学程序为解决地下水污染问题的系统的工程设计方法的研究提供支持，该程序在应用描述含水层中地下水模型运动的数学模型时考虑主观信息，以设计地下水含水层净化系统。调查员计划定义和制定一套规则，以改进对暴露于低剂量受污染地下水与潜在的基于健康的风险问题之间关系的描述。这些规则将用于确定在为恢复受污染地下水含水层的质量制定最低成本解决办法时必须考虑的工程设计限制因素。在执行界定主观约束的规则之后，将把这些规则引入地下水流动和运输模型，以用于拟订恢复含水层的最佳程序。预计这项研究将促进知识的发展，从而将对风险、危险和重要性等定性概念的认识纳入工程师为恢复含水层地下水质量而设计程序的过程中。这一项目的结果也有望有助于潜在地使用在解决地下水质量恢复问题时开发的程序来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. ***