A coupled geostatistical and machine learning approach to address spatial prediction of trace metals and pollution indices in sediments of the abandoned gold mining site of Bekao, Adamawa, Cameroon

Trace metals present in high amounts in aquatic systems are a perpetual concern. This study applied geostatistical and machine learning models namely Ordinary Kriging (OK), Ordinary Cokriging (OCK) and Artificial Neural Network (ANN) to assess the spatial variability of trace metals and pollution in...

Descripción completa

Detalles Bibliográficos
Autores principales: Abende Sayom, Reynolds Yvan, Mfenjou, Martin Luther, Ayiwouo Ngounouno, Mouhamed, Etoundi, Michele Maguy Cathya, Boroh, William André, Mambou Ngueyep, Luc Leroy, Meying, Arsene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413010/
https://www.ncbi.nlm.nih.gov/pubmed/37576237
http://dx.doi.org/10.1016/j.heliyon.2023.e18511

Ejemplares similares

Ejemplares similares