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应用多准则决策技术制定修正渗滤液污染指数。

Application of multi-criteria decision-making techniques to develop modify-leachate pollution index.

作者信息

Teja Dharmasanam Ravi, Kumar Padimala Shanmuka Sai, Jariwala Namrata

机构信息

Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India.

Civil Engineering Department, National Institute of Technology, Warangal, India.

出版信息

Environ Sci Pollut Res Int. 2023 Mar;30(14):41172-41186. doi: 10.1007/s11356-023-25178-3. Epub 2023 Jan 11.

DOI:10.1007/s11356-023-25178-3
PMID:36630033
Abstract

The modify-leachate pollution index (m-LPI) was developed with the help of multi-criteria decision-making (MCDM) technique based on the landfill leachate pollution potential by considering the limitations of traditional methodologies. Across India, twenty major landfill sites (LS) were selected for which m-LPI was assessed. Twenty-five experts' opinions were taken for the determination of nine input criteria weights, such as pH, COD, TDS, Cl, Zn, Pb, Cu, annual rainfall, and landfill age with the help of a questionnaire-based survey. In this context, six MCDM techniques were investigated to develop m-LPI. Among different MCDM techniques selected, weighted aggregated sum product assessment (WASPAS) proved to be an effective one with an R value of 0.828 and IA value of 0.813. WASPAS gave first and last rank to Kadapa, Andhra Pradesh LS (1.677) and Turbhe, Maharashtra LS (2.193), respectively. The investigation revealed that around 90% of LS considered in the present study require leachate treatment. WASPAS sensitivity analysis showed that the least sensitive criteria were pH, followed by Cl and Zn. The m-LPI can be used by researchers and scientists to investigate and evaluate various challenges involved with solid waste management in LS.

摘要

修正渗滤液污染指数(m-LPI)是在多准则决策(MCDM)技术的帮助下,基于垃圾填埋场渗滤液污染潜力开发的,同时考虑了传统方法的局限性。在印度各地,选择了20个主要垃圾填埋场进行m-LPI评估。借助基于问卷调查的方式,征求了25位专家对确定九个输入标准权重的意见,这些标准包括pH值、化学需氧量(COD)、总溶解固体(TDS)、氯(Cl)、锌(Zn)、铅(Pb)、铜(Cu)、年降雨量和垃圾填埋场使用年限。在此背景下,研究了六种MCDM技术以开发m-LPI。在所选的不同MCDM技术中,加权聚合总和乘积评估法(WASPAS)被证明是有效的,其R值为0.828,IA值为0.813。WASPAS分别将安得拉邦卡达帕垃圾填埋场(1.677)和马哈拉施特拉邦图尔布垃圾填埋场(2.193)列为第一和最后一名。调查显示,本研究中考虑的约90%的垃圾填埋场需要渗滤液处理。WASPAS敏感性分析表明,最不敏感的标准是pH值,其次是Cl和Zn。研究人员和科学家可以使用m-LPI来调查和评估垃圾填埋场固体废物管理涉及的各种挑战。

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