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A decision support tool to prioritize risk management options for contaminated sites

机译:一种决策支持工具,用于优先处理受污染场地的风险管理选项

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The decisions on risk management (RM) of contaminated sites in Finland have typically been driven by practical factors such as time and money. However, RM is a multifaceted task that generally involves several additional determinants, e.g. performance and environmental effects of remediation methods, psychological and social factors. Therefore, we adopted a multi-criteria decision analysis approach and developed a decision support tool (DST) that is viable in decision-making in such a complex situation. The basic components of the DST are based on the Dutch REC system. However, our DST is more case-specific and allows the consideration of the type, magnitude and scale of contamination, land use, environmental conditions and socio-cultural aspects (e.g. loss of cultural heritage, image aspects). The construction of the DST was started by structuring the decision problem using a value tree. Based on this work we adopted the Multi-Attribute Value Theory (MAVT) for data aggregation. The final DST was demonstrated by two model sites for which the RM alternatives and site-specific data were created on the basis of factual remediation projects and by interviewing experts. The demonstration of the DST was carried out in a workshop where representatives of different stakeholders were requested to rank and weight the decision criteria involved. To get information on the consistency of the ranking of the RM alternatives, we used different weighting techniques (ratio estimation and pair-wise weighting) and alternative ways to treat individual respondents' weights in calculating the preference scores for each RM alternative. These dissimilar approaches resulted in some differences in the preference order of the RM alternatives. The demonstration showed that attention has to be paid to the proper description of the site, the principles of the procedure and the decision criteria. Nevertheless, the procedure proved to enable efficient communication between different stakeholders and the identification of the preferred RM option.
机译:芬兰受污染场地风险管理(RM)的决定通常是由时间和金钱等实际因素决定的。但是,RM是一个多方面的任务,通常涉及多个其他决定因素,例如补救方法的性能和环境影响,心理和社会因素。因此,我们采用了多准则决策分析方法,并开发了决策支持工具(DST),该工具可在如此复杂的情况下进行决策。 DST的基本组件基于Dutch REC系统。但是,我们的DST更具针对性,可以考虑污染的类型,程度和规模,土地使用,环境条件和社会文化方面(例如,文化遗产的丧失,形象方面)。 DST的构建是通过使用价值树构造决策问题而开始的。基于这项工作,我们采用了多属性值理论(MAVT)进行数据聚合。最终的DST由两个模型站点进行了演示,两个模型站点在事实补救项目的基础上并通过采访专家为其创建了RM替代方案和特定于站点的数据。 DST的演示是在一个讲习班上进行的,要求不同利益相关者的代表对所涉及的决策标准进行排名和加权。为了获得有关RM替代方案排名一致性的信息,我们在计算每个RM替代方案的偏好得分时使用了不同的加权技术(比率估计和成对加权)和替代方法来处理各个受访者的权重。这些不同的方法导致RM替代方案的优先顺序有所不同。演示表明,必须注意对现场的正确描述,程序原理和决策标准。然而,事实证明,该程序可以实现不同利益相关者之间的有效沟通,并可以确定首选的RM选项。

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