Carcinogenic health risks and water quality assessment of groundwater around lead–zinc mining areas of Ebonyi state Nigeria: a data-driven machine learning approach

Carcinogenic health risks and water quality assessment of groundwater around lead–zinc mining areas of Ebonyi state Nigeria: a data-driven machine learning approach

Abstract This study evaluates carcinogenic health risks and groundwater quality in lead–zinc mining areas of Ebonyi State, Nigeria, using machine learning to predict contamination levels, providing crucial insights for public health and environmental management in a region heavily impacted by mining...

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Bibliographic Details
Main Authors: Obinna Chigoziem Akakuru, Moses Oghenenyoreme Eyankware, Godwin O. Aigbadon, Ayatu Ojonugwa Usman, Alexander Iheanyi Opara, Kizito Ojochenemi Musa, Micheal Akaninyene Okon, Okechukwu Pius Aghamelu, Gabriel Ehriga Odesa, Ifeyinwa Juliana Ofoh, Annabel U. Obinna-Akakuru
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Discover Civil Engineering
Subjects:
Groundwater
Artificial neural network
Pollution
Support vector machine
Multi-linear regression
Risk assessment
Online Access:https://doi.org/10.1007/s44290-024-00134-3
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