Combination of compositional data analysis and machine learning approaches to identify sources and geochemical associations of potentially toxic elements in soil and assess the associated human health risk in a mining city

Title
Combination of compositional data analysis and machine learning approaches to identify sources and geochemical associations of potentially toxic elements in soil and assess the associated human health risk in a mining city
Authors
Keywords
Potentially toxic elements, Soil, Geochemical association, Compositional data, Machine learning
Journal
ENVIRONMENTAL POLLUTION
Volume 261, Issue -, Pages 114210
Publisher
Elsevier BV
Online
2020-02-20
DOI
10.1016/j.envpol.2020.114210

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