An application of multivariate statistical methods is provided to identify anthropogenic contaminants andlithogenic elements in offshore sediments collected near the heavily industrialized Augusta Bay, Sicily. An exploratory statistical technique, based on canonical correlation analysis (CCA) and mixture density estimationapproach, is used for distinguishing between natural and anthropogenic contributions of trace elements in theinvestigated sediments.Following the intensive industrialization of Augusta area, marine sediments reveal the severe impact of local anthropogenic activities for many elements (e.g. As, Cd, Hg, Pb, and Sb), which are considered very dangerous for the environment. In contrast, a prevalent natural/lithogenic origin can be ascribed to Co, Cr, Cu, Mn, Ni, V, and Zn.Themultivariate statistical approach used in this study,which aims to estimate and to classify trace element pre-industrial levels and sources, could be easily applied to other different contaminated areas.
|Number of pages||15|
|Journal||Journal of Sea Research|
|Publication status||Published - 2014|
All Science Journal Classification (ASJC) codes
- Ecology, Evolution, Behavior and Systematics
- Aquatic Science