Multivariate statistical approaches as applied to environmental physics studies

• Authors: Vasil Lovchinov , Stefan Tsakovski
• Languages of publication: EN

Abstracts

EN

The present communication deals with the application of the most important environmetric approaches like cluster analysis, principal components analysis and principal components regression (apportioning models) to environmental systems which are of substantial interest for environmental physics - surface waters, aerosols, and coastal sediments. Using various case studies we identify the latent factors responsible for the data set structure and construct models showing the contribution of each identified source (anthropogenic or natural) to the total measure of the pollution. In this way the information obtained by the monitoring data becomes broader and more intelligent, which help in problem solving in environmental physics.

Keywords

EN

Environmental physics; environmetrics; sediments; surface waters; aerosols; 91.10.Vr

• Publisher: De Gruyter Open
• Journal: Open Physics
• Year: 2006
• Volume: 4
• Issue: 2
• Pages: 277-298

Dates

published

1 - 6 - 2006

online

1 - 6 - 2006

Contributors

author

Vasil Lovchinov

• Institute of Solid State Physics, Bulgarian Academy of Sciences, 1784, Sofia, Bulgaria

author

Stefan Tsakovski

• Faculty of Chemistry, University of Sofia “St. Kl. Okhridski”, 1164, Sofia, Bulgaria

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Identifiers

DOI

10.2478/s11534-006-0012-3