Groundwater Remediation Design Using Fuzzy Sets and Fuzzy Logic

9700639平德这是一个奖项，以提供支持的方法来解决地下水污染问题的系统的工程设计的研究，通过一个数学程序，考虑到主观信息，在应用数学模型描述地下水模型运动在含水层的地下水含水层的净化系统的设计。 调查人员计划界定和制定一套规则，以改进对接触低剂量受污染地下水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的限制，必须考虑到在产生最低成本的解决方案，以恢复被污染的地下水含水层的质量。 在执行确定主观限制的规则之后，将把这些规则引入地下水流动和运输模型，这些模型可用于制定恢复含水层的最佳程序。 这项研究预计将推进知识的状态，如风险，危险和重要性的定性概念的看法可以纳入工程师设计程序的过程中，恢复含水层中的地下水的质量。 该项目的结果也有望有助于解决地下水水质恢复问题，以解决其他环境工程设计问题的程序的潜在用途。 ***

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. ***