2021
DOI: 10.1007/s00128-020-03069-4
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Risks Assessment Associated with Different Sources of Metals in Abandoned Soil of Zhuxianzhuang Coal Mine, Huaibei Coalfield (Anhui, China)

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Cited by 9 publications
(1 citation statement)
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“…Many scholars have adopted a variety of methods to determine heavy metal pollution sources in soil, such as geographic information systems, multivariate statistical analysis, positive matrix factorization (PMF), and chemical mass balance law (Facchinelli et al, 2001;Pekey et al, 2004;Cao et al, 2012). Among them, the PMF model reduces the dimension of multidimensional variables through correlation matrix and covariance matrix, which is a very effective method for source analysis of heavy metals (Fang et al, 2021), and, therefore, the PMF model has been widely used. In recent years, PMF models have been widely applied to atmospheric particles, water, soil, and sediments (Rodenburg et al, 2011;Tan et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Many scholars have adopted a variety of methods to determine heavy metal pollution sources in soil, such as geographic information systems, multivariate statistical analysis, positive matrix factorization (PMF), and chemical mass balance law (Facchinelli et al, 2001;Pekey et al, 2004;Cao et al, 2012). Among them, the PMF model reduces the dimension of multidimensional variables through correlation matrix and covariance matrix, which is a very effective method for source analysis of heavy metals (Fang et al, 2021), and, therefore, the PMF model has been widely used. In recent years, PMF models have been widely applied to atmospheric particles, water, soil, and sediments (Rodenburg et al, 2011;Tan et al, 2016).…”
Section: Introductionmentioning
confidence: 99%