MULTIVARIATE-ANALYSIS OF ELEMENT DATA FROM NEEDLES OF PINUS-SYLVESTRIS L AND PICEA-ABIES (L) KARST SAMPLES USED TO MONITOR ATMOSPHERIC DEPOSITION IN AREA OF ALUMINUM PLANT

Concentration of 25 selected elements in a 2 year old needles of Picea abies (L.) Karst. and Pinus sylvestris L. from 141 permanent monitori ng plots (network of 4 x 4 km) from the industrial region of Ziar nad Hronom are completed with a critical assessment of their content in re lation to boundary values. 81.4 % of the total variance were explained with principal component analysis through 8 components. The highest c oncentrations of Al, Be, Cd, Co, Cr, F, Fe, Hg, Li, Ni, Pb, Sr and V w ere found in the A pollution zone and apparently they directly connect with production of aluminium. In the zone B there were increased leve ls of (sic) Ba, K, Mn, N, Na, Rb, S and Se which can connect with oper ation of thermal power plant, The highest values of Cu and Zn in C zon e and Ca and Mg in D zone were found. Correlational analysis of 25 ele ments from spruce and pine needles from Ziar region was executed provi ded that the number of high-correlational pairs (r greater than or equ al to 0.9) leads to an expectation of mutual element reaction. Only hi gh positively correlable pairs of elements, which are emitted in the p ollution zone A in the region of alluminium plants were found also in pollution zone A. In B zone, neither positive nor negative correlated relation was found among pairs of elements with r higher or equal to /- 0.9. In C zone only a high-positively correlated pair between Be/Co was found.