A methodological framework for identifying potential sources of soil heavy metal pollution based on machine learning: A case study in the Yangtze Delta, China

Title
A methodological framework for identifying potential sources of soil heavy metal pollution based on machine learning: A case study in the Yangtze Delta, China
Authors
Keywords
Heavy metal pollution, Source identification, Potentially polluting enterprises, Multinomial naive bayesian methods, Bivariate local Moran's I analysis
Journal
ENVIRONMENTAL POLLUTION
Volume 250, Issue -, Pages 601-609
Publisher
Elsevier BV
Online
2019-04-13
DOI
10.1016/j.envpol.2019.04.047

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