Mathematical Programming Models for Environmental Management

9313052 Ellis这是一个支持研究的奖项，其目标是设计具有随机、多目标和视觉属性的数学模型，这些模型能够用于解决比现在更复杂、规模更大的环境问题。研究者计划开发并行开发并行方法来设计同时处理多个目标的模型，并将其纳入模型的随机性和交互式视觉界面。他计划将开发的模型应用于处理环境问题，例如考虑污染物从空气到水的中间转移的空气污染监测网络的设计，并确定将这种方法用于地下水质量管理的方式。预期这项研究的结果将包括将其应用于减少空气和水污染的系统的工程设计，以及评价排放交易概念所造成的生态后果。排放交易概念是目前处理减少空气污染的方法的一个特点，目前正在考虑将其用于水。预期这个项目的成果将用于设计处理环境问题的办法，其规模将比现有环境模式所能处理的范围更符合问题的范围。

9313052 Ellis This is an award to support research, the objective of which is to devise mathematical models with stochastic, multiobjective and visual attributes that are capable of being used to address environmental problems more complex and on a scale larger than is now possible. The investigator plans on developing parallel developing parallel approaches to devise models that address more than a single objective simultaneously and that incorporate into the models stochasticity and interactive visual interfaces. He plans on applying the models developed to deal with environmental problems such as the design of air pollution monitoring networks that consider intermedia transfer of pollutants from air to water and to determine the way in which this approach could be used in management of groundwater quality. Results of this research are expected to include its application in engineering design of systems for abatement of air and water pollution and in evaluating the ecological consequences that result from emissions trading concepts, a current attribute of approaches for dealing with abatement of air pollution and which is being considered for water as well. Results of this project are expected to be utilized in design of approaches to dealing with environmental problems on a scale that is more consistent with scope of the problems than is now possible to address with existing environmental models.