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在废物负载分配中的风险估计中,一种新的模糊方法和破产理论
Alireza Nouri1, Mohammadreza Bazargan-Lari2, Ershad Oftadeh3
1Islamic Azad University Science and Research Branch, Tehran, Iran. m_alireza_nouri@yahoo.com.
Environmental monitoring and assessment
|September 28, 2023
概括
本研究引入了一种新的模糊风险指数 (FRI) 模型,用于有效的废物负载分配 (WLA),显著减少计算时间,同时保持与传统方法相比的准确性.
科学领域:
- 环境工程环境工程
- 水资源管理水资源的管理.
- 计算流体动力学 计算流体动力学
背景情况:
- 有效的废物负载分配 (WLA) 对于保持河流水质量至关重要.
- 现有的WLA模型可能是计算密集和复杂的.
- 与工业成本平衡环境保护是一个重大挑战.
研究的目的:
- 使用风险分析开发废物负载分配 (WLA) 的模拟器优化模型.
- 引入与多目标优化集成的模糊风险指数 (FRI).
- 有效地解决环境和工业利益相关者之间的冲突.
主要方法:
- 开发一个模拟器-优化器模型,结合一个模糊风险指数 (FRI).
- 应用多目标优化来最大限度地降低FRI和污水处理成本.
- 利用纳什谈判和破产方法 (受约束的平等奖励规则) 来解决冲突.
- 使用KhoramAbad河的定量/质量数据进行验证,并与蒙特卡洛模拟 (MCS) 进行比较.
主要成果:
- 模糊风险指数 (FRI) 模型有效确定了废物负载分配 (WLA).
- 模糊算术方法的结果与蒙特卡洛模拟 (MCS) 的结果非常相匹配.
- 与MCS相比,新型号的执行时间大幅缩短了450倍.
- 成功平衡环境利益相关者的利益 (FRI最小化) 和工业利益相关者的成本 (处理费用最小化).
结论:
- 开发的模糊风险指数 (FRI) 模型为废物负载分配 (WLA) 提供了一个计算效率高,准确的替代方案.
- 这种方法为解决水资源管理中的多利益相关方冲突提供了一个强大的框架.
- 该模型显示了在环境管理和政策制定中广泛应用的潜力.
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