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Inexact mathematical programming for the management of water resources and environmental systems under multiple uncertainities.

机译：多重不确定性下用于水资源和环境系统管理的不精确数学程序。

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摘要

Water resources conservation and environmental protection have been challenging many regional planners and decision makers. Uncertainties exist in many related system components and may intensify the complexities in the efforts for generating desired plans for water resources and environmental management. Effective management should be based on a variety of decision support studies. Generally, optimization methods are useful for providing desired decision support. However, optimization modeling of water resources and environmental systems is often associated with complexities of interactive, dynamic and uncertain characteristics. To facilitate robust environmental management, advanced optimization methodologies that are able to reflect these complexities are desired.;The developed methodologies could help provide decision supports for managing various water resources and environmental management problems. These proposed methods improved upon the existing optimization approaches and had advantages in reflecting multiple uncertainties presented as fuzzy sets, probability distributions, interval parameters, functional intervals, fuzzy random variables, and distributions with fuzzy probabilities as well as their combinations. The obtained solutions were useful for analyzing tradeoffs among various environmental resources and socio-economic objectives, such that desired decision schemes could be identified.;In this dissertation research, a number of optimization-based decision support methodologies were developed and applied to water resources and environmental management systems. The following methods were included: (a) an inexact stochastic mix-integer linear semi-infinite programming approach for solid waste management and planning under uncertainty, (b) an interval-parameter fuzzy-stochastic semi-infinite mixed-integer linear programming method for waste management under uncertainty, (c) an interval-parameter two-stage stochastic semi-infinite programming method for water resources management under uncertainty, (d) an interval-parameter chance-constrained two-stage stochastic semi-infinite programming technique for environmental management under uncertainty, (e) a fuzzy random two-stage programming method for water resources management under dual uncertainties, (f) a two-stage fuzzy chance-constrained programming approach for water resources management under dual uncertainties, (g) an inexact fuzzy-stochastic programming method for water resources management under multiple uncertainties, and (h) an inexact fuzzy-chance-constrained two-stage mixed integer programming approach for solid waste management in the City of Regina. For each method, efforts were made for system conceptualization, model development, complexity analysis and case application.
机译：水资源保护和环境保护一直在挑战许多区域计划者和决策者。在许多相关的系统组件中都存在不确定性，并且可能加剧为制定所需的水资源和环境管理计划而进行的工作的复杂性。有效的管理应基于各种决策支持研究。通常，优化方法可用于提供所需的决策支持。但是，水资源和环境系统的优化建模通常与交互，动态和不确定特征的复杂性相关。为了促进强大的环境管理，需要能够反映这些复杂性的高级优化方法。;所开发的方法可以帮助为管理各种水资源和环境管理问题提供决策支持。这些提出的方法在现有优化方法的基础上进行了改进，并且在反映多个不确定性方面具有优势，这些不确定性表现为模糊集，概率分布，区间参数，函数区间，模糊随机变量以及具有模糊概率的分布及其组合。所获得的解决方案对于分析各种环境资源和社会经济目标之间的折衷是有用的，从而可以确定所需的决策方案。本论文研究了许多基于优化的决策支持方法，并将其应用于水资源环境管理体系。包括以下方法：（a）用于不确定性情况下固体废物管理和计划的不精确随机混合整数线性半无限规划方法；（b）用于不确定性的区间参数模糊随机半无限混合整数线性规划方法不确定条件下的废物管理，（c）不确定条件下水资源管理的区间参数两阶段随机半无限规划方法，（d）环境管理的区间参数机会受限的两阶段随机半无限规划技术在不确定性下，（e）在双重不确定性下的水资源管理的模糊随机两阶段规划方法，（f）在双重不确定性下的水资源管理的两阶段模糊机会约束规划方法，（g）不精确的模糊-多不确定性下水资源管理的随机规划方法，（h）不精确的模糊机会约束两阶段混合整数pro里贾纳市固体废物管理中的分类法。对于每种方法，都努力进行系统概念化，模型开发，复杂性分析和案例应用。

著录项

  • 作者

    Guo, Ping.;

  • 作者单位

    The University of Regina (Canada).;

  • 授予单位 The University of Regina (Canada).;
  • 学科 Engineering Sanitary and Municipal.;Engineering Environmental.;Water Resource Management.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 413 p.
  • 总页数 413
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:38:19

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