2017
DOI: 10.1016/j.scitotenv.2016.12.028
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Determination of sediment metal background concentrations and enrichment in marine environments – A critical review

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Cited by 218 publications
(124 citation statements)
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“…Manganese was used as the reference background element due to a lack of Al data, with its feasibility confirmed by Loska et al (1997), as Mn is mainly of lithogenic origin and its anthropogenic sources are minimal. Principal component analysis (PCA) can assist when selecting the reference background element (Birch 2017), as can a high correlation with the elements studied (N'guessan et al 2009). In our study, using Mn as the reference metal was justified through PCA, which identified it as being of lithogenic origin and in significant correlation with most of the studied elements, in particular with Cr and Ni.…”
Section: Calculation Of the Enrichment Factor And Ecological Risk Indexmentioning
confidence: 99%
“…Manganese was used as the reference background element due to a lack of Al data, with its feasibility confirmed by Loska et al (1997), as Mn is mainly of lithogenic origin and its anthropogenic sources are minimal. Principal component analysis (PCA) can assist when selecting the reference background element (Birch 2017), as can a high correlation with the elements studied (N'guessan et al 2009). In our study, using Mn as the reference metal was justified through PCA, which identified it as being of lithogenic origin and in significant correlation with most of the studied elements, in particular with Cr and Ni.…”
Section: Calculation Of the Enrichment Factor And Ecological Risk Indexmentioning
confidence: 99%
“…Aluminum and Fe demonstrated strong relationships with fines content and were useful in addressing the main goal of the present study. However, the hydrofluoric acid–based digestion protocol used in the present study can release normalizing metals from sedimentary mineral matrices (e.g., materials other than clays) and reduce sensitivity to subtle changes in contaminant concentrations . To counter this, Li is recommended (not analyzed in the present study) as a normalizing factor because of its reduced presence in nonclay sediment constituents and linear relationships with various trace elements .…”
Section: Discussionmentioning
confidence: 99%
“…Different variables can be used to normalize data to account for grain size variation. These can include defined particle size categories (e.g., fines content) or other covariates such as Al, Fe, lithium (Li), Ti, cesium, and rubidium [27][28][29][30]. The present data were normalized to percentage of fines, Al, and Fe contents.…”
Section: Numerical Analysismentioning
confidence: 99%
“…The age of these levels, according to sedimentation rates up to 33 cm y -1 , determined by a previous study for cores AU3 and AU10, are older than 1950, when industrial activities started . The recovery of sediments not affected by anthropogenic influence is of basic importance for the environmental assessment, which identifies the extent of deviation from natural condition, and for the identification of local background levels of metals and trace elements Birch, 2017). The higher similarity of GVT and VBR profiles both considering pattern and concentration values at AU3 station may be explained by the lower degree of physical and chemical anthropogenic impact in the central sector of the harbor, with respect to the southern one, which seems to determine high spatial variability and patchy distribution of chemical and textural characteristics of sediment (Romano et al, 2013).…”
Section: Discussionmentioning
confidence: 99%