Uncertainty and sensitivity analysis of revised leachate pollution index.
Leachate pollution
Monte Carlo
Revised leachate pollution index
Sensitivity analysis
Uncertainty analysis
Journal
Environmental monitoring and assessment
ISSN: 1573-2959
Titre abrégé: Environ Monit Assess
Pays: Netherlands
ID NLM: 8508350
Informations de publication
Date de publication:
31 Aug 2024
31 Aug 2024
Historique:
received:
20
01
2024
accepted:
23
08
2024
medline:
1
9
2024
pubmed:
1
9
2024
entrez:
31
8
2024
Statut:
epublish
Résumé
Composite indicators (CIs) are being utilized more frequently to assess and monitor environmental systems. The revised leachate pollution index (r-LPI) is one such composite indicator used to quantify the pollution potential of landfill leachate on a scale of 5-100. The development of CIs involves several steps, and each of these steps has various methodological choices, each of which could lead to different results. Thereby, the reliability of the quantified pollution potential of leachate may be questioned. This study investigated the techniques for developing the r-LPI, examining decisions related to parameter selection, normalization technique, weighting approach, sub-indicator weights, and their aggregation. As the index developer made the decisions, each of these stages was fraught with uncertainty. The uncertainty in the various stages of the development of r-LPI was quantified using the Monte Carlo-based uncertainty analysis and the sensitivity analysis approach. Uncertainty analysis is a helpful but seldom-used step of index development that identifies the model's most dependable sections. Sensitivity analysis was carried out to ascertain the degree of impact the input parameters have on the r-LPI values. The combined use of sensitivity and uncertainty analysis in this study for the formulation of r-LPI affirmed the transparency, credibility, and accuracy of the index.
Identifiants
pubmed: 39215780
doi: 10.1007/s10661-024-13058-3
pii: 10.1007/s10661-024-13058-3
doi:
Substances chimiques
Water Pollutants, Chemical
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
871Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
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