Regret-Based Optimization Methods In Environmental Decision Making Under Uncertainty

该项目的目标是建立一个框架，在这个框架内可以使用多个模拟环境过程的数学环境模型，并在确定环境问题的最佳解决方案时合理考虑结果。研究人员计划解决的具体的、广泛的数学建模的环境问题包括描述酸雨的来源和影响的问题、用于执行分配废物负荷的地表水质量管理程序的问题、以及对低水平电离辐射剂量反应的建模。环境问题的随机数学建模支持工程设计来解决这些问题，传统上是基于假设系统的模拟力学是正确的，输入是随机的。该项目旨在处理模拟模型本身的不确定性。预期该项目的成果将用于改进环境过程和系统的工程设计，以处理和处理污染物对土地、水和空气环境资源的影响。

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.