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Decision-making for the selection of different leachate treatment/management methods: the ANP and PROMETHEE approaches.
Environmental Science and Pollution Research Pub Date : 2020-03-28 , DOI: 10.1007/s11356-020-08524-7
Alp Özdemir 1 , Aysun Özkan 1 , Zerrin Günkaya 1 , Müfide Banar 1
Affiliation  

Abstract

Municipal solid waste (MSW) landfill leachate is a highly contaminated liquid effluent. Leachate has a complex nature that needs to be appropriately treated before being discharged into the environment. There are various options for leachate treatment. Deciding which option should be applied is a complex process, since it depends on many factors that need to provide a balance between the technical, economic, and environmental aspects of sustainability. Multi-criteria decision-making (MCDM) methods are useful techniques to solve complex problems that cannot be easily solved. In this study, MCDM techniques are used for an evaluation of four different leachate treatment options: recirculation of leachate to a landfill site (A1), combined treatment with municipal wastewater (A2), anaerobic and aerobic sequential treatment (A3), and advanced leachate treatment based on membrane processes (A4). The selection of the most appropriate one, based on the criteria, analytic network process (ANP), and preference ranking organization method for enrichment evaluations (PROMETHEE) methods, was applied as MCDM techniques using the Super Decisions software and D-Sight software, respectively. Both the ANP and the PROMETHEE analysis results demonstrate that option A2 is the most appropriate for all of the decision-makers.



中文翻译:

选择不同渗滤液处理/管理方法的决策:ANP和PROMETHEE方法。

摘要

城市固体废物(MSW)垃圾渗滤液是一种高度污染的液体废水。渗滤液具有复杂的性质,在排放到环境中之前需要进行适当的处​​理。渗滤液处理有多种选择。决定应采用哪个选项是一个复杂的过程,因为它取决于许多因素,需要在可持续性的技术,经济和环境方面取得平衡。多标准决策(MCDM)方法是解决无法轻松解决的复杂问题的有用技术。在这项研究中,MCDM技术用于评估四种不同的渗滤液处理方案:渗滤液再循环至垃圾填埋场(A1),与市政废水联合处理(A2),厌氧和好氧顺序处理(A3),以及基于膜工艺的先进渗滤液处理(A4)。根据准则,分析网络过程(ANP)和用于富集评估的偏好排序组织方法(PROMETHEE)方法选择最合适的方法,分别用作使用Super Decisions软件和D-Sight软件的MCDM技术。 。ANP和PROMETHEE分析结果均表明,选项A2最适合所有决策者。

更新日期:2020-03-28
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