MOE Key Laboratory of Regional Energy Systems Optimization, Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China.
J Hazard Mater. 2012 Apr 30;213-214:421-33. doi: 10.1016/j.jhazmat.2012.02.027. Epub 2012 Feb 17.
A simulation-based fuzzy multi-criteria decision analysis (SFMCDA) method is developed for supporting the selection of remediation strategies for petroleum contaminated sites. SFMCDA integrates process modeling (using BIOPLUME III) and fuzzy ranking (based on fuzzy TOPSIS) into a general management framework, and can compare various remediation alternatives, in light of both cost-risk tradeoffs and uncertainty impacts. The proposed method is applied to a hypothetical contaminated site suffering from a benzene leakage problem. Six remediation alternatives are taken into consideration, including natural attenuation (NA), pump-and-treat (PAT), enhanced natural attenuation (ENA), and a number of their combinations. Six fuzzy criteria, including both cost and risk information, are used to compare different alternatives through fuzzy TOPSIS. The results demonstrates that the proposed method can help systematically analyze fuzzy inputs from contaminant transport modeling, cost implications and stakeholders' preferences, and provide useful ranking information covering a variety of decision-relevant remediation options for decision makers.
一种基于模拟的模糊多准则决策分析（SFMCDA）方法被开发出来，用于支持选择受石油污染场地的修复策略。SFMCDA 将过程建模（使用 BIOPLUME III）和模糊排序（基于模糊 TOPSIS）集成到一个通用的管理框架中，可以根据成本-风险权衡和不确定性影响来比较各种修复替代方案。所提出的方法应用于一个遭受苯泄漏问题的假设污染场地。考虑了六种修复替代方案，包括自然衰减（NA）、抽吸处理（PAT）、增强自然衰减（ENA）以及它们的一些组合。六个模糊标准，包括成本和风险信息，通过模糊 TOPSIS 来比较不同的替代方案。结果表明，该方法可以帮助系统地分析污染物运移建模、成本影响和利益相关者偏好的模糊输入，并为决策者提供涵盖各种决策相关修复选项的有用排序信息。
