Skip to main content
Log in

Variation of heavy metals in recent sediments from Piratininga Lagoon (Brazil): interpretation of geochemical data with the aid of multivariate analysis

  • Original Papers
  • Published:
Environmental Geology

Abstract

In the last decade, the Atlantic coast of south-eastern Brazil has been affected by increasing deforestation and anthropogenic effluents. Sediments in the coastal lagoons have recorded the process of such environmental change. Thirty-seven sediment samples from three cores in Piratininga Lagoon, Rio de Janeiro, were analyzed for their major components and minor element concentrations in order to examine geochemical characteristics and the depositional environment and to investigate the variation of heavy metals of environmental concern. Two multivariate analysis methods, principal component analysis and cluster analysis, were performed on the analytical data set to help visualize the sample clusters and the element associations. On the whole, the sediment samples from each core are similar and the sample clusters corresponding to the three cores are clearly separated, as a result of the different conditions of sedimentation. Some changes in the depositional environment are recognized using the results of multivariate analysis. The enrichment of Pb, Cu, and Zn in the upper parts of cores is in agreement with increasing anthropogenic influx (pollution).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Benmoussa L, Amossé J, Giraud P, and Oliver R (1987) A geochemical study of the concentration process of tungsten and tin in the “Taourirts” granites of central Ahaggar, Algeria. Chem Geol 63:121–132

    Google Scholar 

  • Forsythe GE (1977) Computer methods for mathematical computation. Englewood Cliffs, New Jersey: Prentice-Hall, Inc.

    Google Scholar 

  • Karadjov M and Simeonov V (1990) Interpretation of geochemical data by the use of multivariate data analysis. Mikrochim Acta (Wien) III:191–199

    Google Scholar 

  • Lapaquellerie Y, Latouche C, Parra T, Salinieres B and Vernette G (1969) Application de la spectrométrie de fluorescence X au dosage des éléments mineurs et traces associés aux sédiments marins actuels. Bull Inst Géol Bassin d'Aquitaine-Bordeaux 12:1–14

    Google Scholar 

  • Lebart L, Morineau A, and Fenelon JP (1979) Traitement des données statistique. Paris: Dunod

    Google Scholar 

  • Millinger M (1984) Evaluation of lithogeochemical data by use of multivariate analysis: An application to the exploration for uranium deposits in the Athabasca Basin of Saskatchewan, Canada. Proceedings of APCOM'84, London

  • Mosser C, Brillanceau A, and Besnus Y (1991) Relationship between sediments and their igneous source rocks using clay mineral multi-element chemistry: The Cenozoic lacustrine Anloua basin (Adamaoua, Cameroon). Chem Geol 90:319–342

    Google Scholar 

  • Patterson JH, Ramsden AR, Dale LS, and Fardy JJ (1986) Geochemistry and mineralogical residences of trace elements in oil shales from Julia Creek, Queensland, Australia. Chem Geol 55:1–16

    Google Scholar 

  • Volle M (1985) Analyse des données, Economica Ed Paris

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Huang, W., Campredon, R., Abrao, J.J. et al. Variation of heavy metals in recent sediments from Piratininga Lagoon (Brazil): interpretation of geochemical data with the aid of multivariate analysis. Geo 23, 241–247 (1994). https://doi.org/10.1007/BF00766738

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00766738

Key words

Navigation