Quantification of contamination, ecological risk index, and health risk assessment of groundwater using artificial neural network and multi-linear regression modeling approaches within Egbema, Nigeria

Akakuru, Obinna Chigoziem; Eyankware, Moses Oghenenyoreme; Akakuru, Ozioma Udochukwu; Nkwoada, Amarachi Udoka; Agunanne, Victoria Chinwendu

doi:10.1007/s12517-023-11600-0

Arab J Geosci

2023

DOI: 10.1007/s12517-023-11600-0

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Quantification of contamination, ecological risk index, and health risk assessment of groundwater using artificial neural network and multi-linear regression modeling approaches within Egbema, Nigeria

Obinna Chigoziem Akakuru,

Moses Oghenenyoreme Eyankware,

Ozioma Udochukwu Akakuru

et al.

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Cited by 7 publications

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Quantification of contamination, ecological risk index, and health risk assessment of groundwater using artificial neural network and multi-linear regression modeling approaches within Egbema, Nigeria

Cited by 7 publications

References 55 publications

Machine learning-assisted risk evaluation of heavy metals in the Hainan gold mining region, China

Machine learning-assisted risk evaluation of heavy metals in the Hainan gold mining region, China

Pollution Indices, Potential Ecological Risks and Spatial distribution of Heavy Metals in soils around Delta State, Nigeria

Application of second-order geoelectric indices in determination of groundwater vulnerability in hard rock terrain in SW. Nigeria

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