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使用TODIMSort进行工业用水资源的安全评估和诊断,考虑双层次的最佳-最差方法,犹不决的模糊语言术语集
Xudong Chao1, Jun Liu1, Zhuang Ma1
1School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China.
Environmental research
|July 6, 2024
概括
这项研究引入了一种评估工业用水资源安全 (IWRS) 的新方法,发现人均用水和废水处理对安省各城市的IWRS绩效产生重大影响.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 工业生态学 工业生态学
背景情况:
- 全球水资源短缺需要改善工业用水资源管理.
- 工业用水消耗是整体水资源安全的一个重要因素.
- 现有的评估方法缺乏对指标相互作用和不确定性的全面考虑.
研究的目的:
- 开发和验证一种用于评估工业水资源安全 (IWRS) 的新方法.
- 使用压力状态响应 (P-S-R) 框架建立一个有针对性的评估系统.
- 通过强大的评估工具,加强工业用水管理的决策.
主要方法:
- 为IWRS.开发了一个基于压力状态响应 (P-S-R) 的评估系统.
- 整合了双层次犹不决的模糊语言术语集 (DHHFLTS) 与主观权重的最佳-最差方法 (BWM) (DF-BWM).
- 采用标准重要性通过标准间相关性 (CRITIC) 方法用于客观权重和TODIMSort用于替代排名.
主要成果:
- 从2011年到2020年,对安省16个城市进行评估IWRS.
- 确定卢安和华南的城市相对表现更好,马安山的表现更差.
- 发现人均水资源和废水处理设施对IWRS产生重大影响.
结论:
- 拟议的DF-BWM-CRITIC-TODIMSort方法是IWRS评估的合理,有效和稳定的方法.
- 该研究强调了影响工业用水安全的关键因素.
- 提供了管理建议,以加强可持续的工业用水利用.
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