Groundwater fluoride prediction modeling using physicochemical parameters in Punjab, India: a machine-learning approach

IntroductionRising fluoride levels in groundwater resources have become a worldwide concern, presenting a significant challenge to the safe utilization of water resources and posing potential risks to human well-being. Elevated fluoride and its vast spatial variability have been documented across di...

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Auteurs principaux:	Anjali Kerketta, Harmanpreet Singh Kapoor, Prafulla Kumar Sahoo
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2024-07-01
Collection:	Frontiers in Soil Science
Sujets:	groundwater fluoride machine-learning prediction modeling Extreme Learning Machine physicochemical parameters relative importance of variables
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fsoil.2024.1407502/full
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