No abstract

The revised leachate pollution index (r-LPI) developed using the fuzzy Delphi analytical hierarchy process (FDAHP) is a technique to quantify the contamination potential of landfill leachate. The steps involved in the formulation of the r-LPI were the selection of parameters using the fuzzy Delphi method (FDM), computing relative weights of the parameters using the fuzzy analytic hierarchy process (FAHP), development of sub-index curves, and finally, aggregation of sub-indices. The calculation of the weights of the parameters has been one of the most crucial steps in the formulation of any index. The analytical hierarchy process (AHP) has been one of the most widely used methods for weight calculation. However, it was observed that the traditional AHP is inadequate to deal with the imprecise or ambiguous nature of linguistic evaluation. It also involves human subjectivity, which induces ambiguity and entails the use of decision-making with uncertainty. The fuzzy AHP method was used in this study to overcome this difficulty. Three significant issues pertinent and essential to fuzzy AHP were addressed: contradictions in expert judgment, deriving priorities from inconsistent fuzzy judgment matrices, and group decision-making. In this study, three FAHP methods: Chang's extent analysis (EA) method, fuzzy preference programming (FPP), and logarithmic fuzzy preference programming (LFPP) were used to calculate the weights of the r-LPI parameters. The results of these methods were then compared, and it was determined that LFPP was the most suitable method for calculating the weights of the r-LPI parameters.

No abstract

The leachate pollution index (LPI), a technique to quantify the contamination potential of landfill leachate, was developed in 2003. Since then, numerous factors have challenged the relevance of LPI, including advancements in technology, the long-term reliability of these indicators, the incidence of emerging contaminants, and the LPI’s efficacy. As a result, using LPI as a benchmark can lead to misinterpretation of the magnitude of leachate Pollution. To mitigate this, a revised leachate pollution index (r-LPI) was developed, which is more precise and robust in assessing the Pollution potential of landfill leachate. This article presents a comprehensive account of the development of r-LPI. The r-LPI was developed by incorporating fuzzy technique with a multi-criteria decision-making technique (MCDM), wherein the inputs from 60 experts in the field of the environment, specifically solid waste management, were acquired at different stages during its development. The fuzzy Delphi method (FDM) was used to select the parameters. The fuzzy analytic hierarchy process (FAHP) was used to compute the relative weights of the parameters and sub-index curves were used for normalization of the parameters. As an application, the LPI and the r-LPI of the Bhalswa, Okhla, and Ghazipur landfills were calculated. The results indicate that r-LPI provides a more comprehensive prediction of leachate Pollution than the LPI.

No abstract