Abstract
Cyanobacterial blooms that occur in the two largest water reservoirs located in Central Poland (Jeziorsko and Sulejów) are causing many harmful effects. This paper describes the spatial water quality pattern of ten stations located around each of the investigated lakes. Chemometric methods like cluster analysis (CA) and principal component analysis (PCA), as well as the R-Pearson correlation coefficient, were used to study the differences of the most significant water quality parameters and to determine the origin of pollution sources. The obtained results confirmed the poor condition and eutrophication of water in tested reservoirs, and the presence of toxic cyanobacteria species and their toxins. Environmetric methods enabled the identification of critical points, characteristic for each of the reservoirs. From these studies, it could be stated that application of chemometric methods can reveal relevant information on the spatial variability of large and complex lake water quality data.
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