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Modern analytical methods provide concentration of a large number of chemical species in a single sample. These multivariate data then require that appropriate statistical methods be used in order to extract the maximum information content of the data. One of the most widely used multivariate methods for data reduction is factor analysis (FA). Within the framework of the JRC programme for the study and protection of the environment, sediment samples of several different lakes were analysed by X-ray spectroscopy for the major elements aluminium, magnesium, silicon, phosphor, sulphur, potassium, calcium, titanium, iron and the minor elements chromium, manganese, nickel, copper, zinc and lead. These concentration data were then subjected to factor analysis with the aim of distinguishing between different pollution sources and trying to identify the sources of pollution in these sediments.

Additional information

Authors: TOUSSAINT C J, JRC Ispra (IT);BO F, JRC Ispra (IT);OLUYEMI E A, JRC Ispra (IT)
Bibliographic Reference: Paper presented: 12th International Symposium on Microchemical Techniques, Cordoba (ES), September 7-12, 1992
Availability: Available from (1) as Paper EN 37089 ORA
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