Application of GIS and feedforward back-propagated ANN models for predicting the ecological and health risk of potentially toxic elements in soils in Northwestern Nigeria

Potentially toxic elements (PTEs) occur naturally in most geologic materials. However, recent anthropogenic disturbances such as ore mining have contributed significantly to their enrichment in soils. Their occurrence in soil may portend a myriad of related risks to the environment and biota. Most t...

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Veröffentlicht in:	Environmental geochemistry and health 2023-11, Vol.45 (11), p.8599-8631
Hauptverfasser:	Omang, Benjamin Odey, Omeka, Michael Ekuru, Asinya, Enah Asinya, Oko, Peter Ereh, Aluma, Victor Chukwuemeka
Format:	Artikel
Sprache:	eng
Schlagworte:	Anthropogenic factors Artificial neural networks Back propagation Biota Cancer Chromium dermal exposure Earth and Environmental Science Ecosystem disturbance ecosystems Environment Environmental Chemistry Environmental conditions Environmental Health Errors Geochemistry Geographical information systems guidelines Health risk assessment Health risks human health Human influences Ingestion Inhalation Leaching Mercury Multilayer perceptrons Neural networks Nigeria Original Paper Oxides Pollutant load Pollution index Pollution load prediction Public Health Quality assessment remediation Respiration risk Risk levels Sensitivity analysis Soil Soil pollution Soil quality Soil remediation Soil Science & Conservation Terrestrial Pollution toxicity Trace elements Zinc Zirconium Zonation
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