2012
DOI: 10.1007/s12665-012-1959-6
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Multivariate analysis of heavy metals in surface sediments from lower reaches of the Xiangjiang River, southern China

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Cited by 71 publications
(34 citation statements)
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References 29 publications
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“…The mean Cr concentration in our samples was 1.93 times higher than the mean concentration in Chinese sediment, and the mean Ni and Se concentrations in our samples were 1.90 and 1.07 times higher, respectively, than the mean concentrations in Chinese sediment. However, the mean Cd, Cu, Pb, and Zn concentrations in our samples were lower than the mean concentrations in Chinese river and lake sediment (Niu et al 2009;Yin et al 2011;Cheng et al 2012;Huang et al 2012;Mao et al 2013;Wei and Wen 2012;).…”
Section: Environmental Factors and Anthropogenic Activitiescontrasting
confidence: 74%
“…The mean Cr concentration in our samples was 1.93 times higher than the mean concentration in Chinese sediment, and the mean Ni and Se concentrations in our samples were 1.90 and 1.07 times higher, respectively, than the mean concentrations in Chinese sediment. However, the mean Cd, Cu, Pb, and Zn concentrations in our samples were lower than the mean concentrations in Chinese river and lake sediment (Niu et al 2009;Yin et al 2011;Cheng et al 2012;Huang et al 2012;Mao et al 2013;Wei and Wen 2012;).…”
Section: Environmental Factors and Anthropogenic Activitiescontrasting
confidence: 74%
“…Application of the KMO test resulted in a coefficient of 0.71, demonstrating that the sample size of the water quality dataset was adequate for PCA, since there was sufficient redundancy in the data to perform the factor analysis. Similar values, using similar sample sizes, were obtained in other water quality studies in watersheds (Gumbo et al 2016;Mao et al 2013). Table 3 provides the correlation matrix, while Table 4 shows the significances of the correlations.…”
Section: Correlation Structure and Multivariate Analysissupporting
confidence: 64%
“…It is not appropriate to apply factor analysis when the correlations among the variables are near zero or very weak, because it is not possible to summarize the information. The KMO value ranges from 0 to 1, with values above 0.6 indicating that the variables and samples evaluated are suitable for factor analysis (Gumbo et al 2016;Gholizadeh et al 2016;Mao et al 2013).…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, the spread of pollutants, particularly of toxic metals, to the aquatic ecosystems is increasingly worrying (3). Riverine sediments play an important role in the overall geochemical cycle and provide a reasonable history of pollution in the river (4)(5)(6)(7). Sediments act mainly as both carriers and sinks for contaminants in aquatic environments (8).…”
Section: Introductionmentioning
confidence: 99%