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

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...

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Bibliographic Details
Main Authors: Reynolds Yvan Abende Sayom, Martin Luther Mfenjou, Mouhamed Ayiwouo Ngounouno, Michele Maguy Cathya Etoundi, William André Boroh, Luc Leroy Mambou Ngueyep, Arsene Meying
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Heliyon
Subjects:
Abandoned gold mining site
Sediments
Spatial variability
Trace metals
Pollution indices
Kriging
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023057195

Internet

http://www.sciencedirect.com/science/article/pii/S2405844023057195

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