Groundwater Remediation Design Using Fuzzy Sets and Fuzzy Logic

9700639 Pinder该奖项旨在为研究解决地下水污染问题的系统工程设计方法提供支持，该方法采用数学程序，在应用描述地下水模型在含水层中的运动的数学模型时考虑到主观信息，以设计地下水含水层净化系统。调查人员计划确定和制定一套规则，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条件，这些限制条件必须考虑在内，以便产生成本最低的解决办法，以恢复受污染地下水含水层的质量。实施定义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，这些模型可用于制定恢复含水层的最佳程序。这项研究预期将提高知识水平，从而使对诸如风险、危险和重要性等定性概念的认识能够纳入工程师设计恢复含水层中地下水质量的程序的过程中。预计该项目的结果还将有助于利用在解决地下水质量恢复问题方面制定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. ***