Regret-Based Optimization Methods In Environmental Decision Making Under Uncertainty

不确定性环境决策中基于遗憾的优化方法

• 批准号: 8922724
• 负责人: Hugh Ellis
• 金额: $ 17.66万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-04-01 至 1992-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8922724&HistoricalAwards=false
• 关键词: Regret; Based; Optimization; Methods; Environmental

The objective of this project is to develop a framework within which more than one mathematical environmental model that simulates environmental processes can be used and the results rationally considered in determination of optimum solutions to environmental problems. The specific, extensively mathematically modeled, environmental issues the investigator plans to address include those characterizing sources and effects of acid- rain, those used in the implementation of surface water quality management procedures that allocate waste-loads, and the modeling of dose-response to low-levels of exposure to ionizing radiation. Stochastic mathematical modeling of environmental problems in support of engineering design to address these problems has been traditionally based on the assumption that the simulation mechanics of the system are correct and the input is random. This project is directed toward dealing with the uncertainties of the simulation model itself. Results of this project are expected to be utilized in improvement of the engineering design of environmental processes and systems for addressing and dealing with the impacts of pollutants on environmental resources of land, water and air.

该项目的目标是制定一个框架， 在其中不止一个数学环境 可以使用模拟环境过程的模型 并对结果进行了合理的考虑， 最佳解决环境问题。 的 具体的，广泛的数学模型， 研究者计划解决的环境问题 包括描述酸的来源和影响的那些， 雨水，那些用于实施地表水 分配废物负荷的质量管理程序， 以及对低水平的剂量反应的建模 暴露于电离辐射。 环境问题的随机数学模拟 为了支持解决这些问题工程设计 传统上是基于这样的假设， 系统的模拟机制是正确的， 输入是随机的。 该项目旨在处理 模拟模型本身的不确定性。 该项目的成果预计将用于 改善环境工程设计 解决和处理这些问题的方法和系统 污染物对土地环境资源的影响， 水和空气。