Quantifying and predicting ecological and human health risks for binary heavy metal pollution accidents at the watershed scale using Bayesian Networks

Title
Quantifying and predicting ecological and human health risks for binary heavy metal pollution accidents at the watershed scale using Bayesian Networks
Authors
Keywords
Risk assessment, Emergent Cr, -Hg, mixed pollution accidents, Bayesian networks, Copula functions, Electroplating industry
Journal
ENVIRONMENTAL POLLUTION
Volume 269, Issue -, Pages 116125
Publisher
Elsevier BV
Online
2020-11-22
DOI
10.1016/j.envpol.2020.116125

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