ORIGINAL RESEARCH
Clasifcation of Drinking Water Samples Using the Chernoff's Faces Visualization Approach
A. Astel1, K. Astel2, M. Biziuk2, J. Namiesnik2
1Environmental Chemistry research unit, Biology and Environmental Protection institute,
Pomeranian Pedagogical Academy, 22a Arciszewskiego Str., 76-200 Słupsk, Poland
2Analytical Chemistry Department, Chemical Faculty,
Gdańsk University of Technology, 11/12 G. Narutowicza Str., 80-952 Gdańsk, Poland
Pomeranian Pedagogical Academy, 22a Arciszewskiego Str., 76-200 Słupsk, Poland
2Analytical Chemistry Department, Chemical Faculty,
Gdańsk University of Technology, 11/12 G. Narutowicza Str., 80-952 Gdańsk, Poland
Pol. J. Environ. Stud. 2006;15(5):691–697
KEYWORDS
ABSTRACT
Our study shows the importance of drinking water monitoring using simple but powerful visualization tools to better understand spatial variations in water quality. The paper reports Chernoff's Faces visualization approach applied for the classification of drinking water samples collected at twelve various districts of Gdańsk (Poland), over the period 1993-2000. A good visualization should give the viewer a rapid understanding of the data and the phenomenon behind the data. The complex data matrix containig 1756 results of determination of disinfection by-products (THMs: CHCl3, CHBrCl2+C2HCl3, CHBr2Cl, CHBr3 and organohalogen compounds: CCl4, CH2Cl2, C2Cl4, C2H3Cl3) was successfully treated with Chernoff's approach, yielding two different groups of similarity among the sampling sites, and reflecting different types of drinking water supplies (surface and groundwater).
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