Multivariate modeling and exploration of environmental n-way data from bulk precipitation quality control

Authors

  • Aleksander Astel,

    Corresponding author
    1. Environmental Chemistry Research Unit, Biology and Environmental Protection Institute, Pomeranian Academy, 22a Arciszewskiego Str., 76-200 Słupsk, Poland
    • Environmental Chemistry Research Unit, Biology and Environmental Protection Institute, Pomeranian Academy, 22a Arciszewskiego Str., 76-200 Słupsk, Poland.
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  • Stanisław Małek

    1. Forest Faculty, Department of Forest Ecology, Agricultural University of Cracow, Al. 29 Listopada 46, 31-425 Kraków, Poland
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Abstract

This paper describes the results of study on modeling and exploration of a three-way environmental data set acquired from monitoring bulk precipitation chemistry collected in the Dupniański Stream Catchment (Silesian Beskid, Southern Poland) using Tucker3 modeling and self-organizing map approach. It appears that the constructed Tucker3 model is appropriate for the studied data and explains more than 91% of the data variance. The Tucker3 model allows to distinguish ‘heavy metals-dust particles’ and ‘anthropogenic’ factors responsible for chemical profiles of bulk precipitation and to identify seasonal variations in bulk precipitation quality. A self-organizing map approach confirms Tucker3 modeling results and additionally allows to identify a strong, temporary impact of remote pollution sources located in the vicinity of Polish-Czech Republic border and indicates a cyclical impact of remote pollution sources located in highly industrialized Katowice and Bełchatów regions. Copyright © 2008 John Wiley & Sons, Ltd.

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