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Multivariate modeling and exploration of environmental n ‐way data from bulk precipitation quality control
Author(s) -
Astel Aleksander,
Małek Stanisław
Publication year - 2008
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1156
Subject(s) - precipitation , pollution , environmental science , multivariate statistics , variance (accounting) , czech , environmental pollution , meteorology , computer science , statistics , environmental protection , geography , mathematics , business , accounting , ecology , linguistics , philosophy , biology
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.