Heavy metal(loid) hazards in landfill groundwater: An assessment using self-organizing maps and 2D Monte Carlo modeling

Landfill-derived heavy metal(loid) (HM) contamination of groundwater is a pressing environmental issue, yet comprehensive assessments in such settings remain limited. This study investigated HM pollution, hydrogeochemistry, irrigation suitability, and corrosion/scaling potential in groundwater surro...

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Veröffentlicht in:	Journal of hazardous materials Jg. 500; S. 140373
Hauptverfasser:	Vesković, Jelena, Onjia, Antonije
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 05.12.2025
Schlagworte:	Corrosion Hydrogeochemistry Potentially toxic elements Probabilistic health risk Unsupervised machine learning Unsupervised machine learning Probabilistic health risk Hydrogeochemistry Corrosion Potentially toxic elements
ISSN:	0304-3894, 1873-3336, 1873-3336
Online-Zugang:	Volltext
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