In this research, heavy metals
(Ti, Cr, Mn, Fe, Co, Ni, Cu, Zn, Mo, Cd, Ba, Pb) and a metalloid (As) sampled
from 84 wells used for drinking water and irrigation in Karabaglar Karstic
Polje (Mugla, Turkey) were analyzed. The results were evaluated by different
statistical methods in order to investigate the interaction between elements.
Ti, Mn, Fe, Zn, Mo and Pb were detected in many wells. According to findings,
the strongest correlation is between As and Cu (R=0.832). As-Ni (R=0.789) and
Cu-Ni (R=0.776) are the other strong correlations. The relationship between
these elements were also shown by Cluster Analysis (CA). With respect to CA,
the closest proximity distance matrix are found for these three elements. Also,
elements exemined composed 3 main clusters in dendrogram created from CA result
matrix. These clusters match up with the findings of Principal Component
Analysis (PCA) too. PCA gathers all elements up in 3 components: As, Cu and Ni
at the first component; Mo and Cd at the second; Cr and Ba at the third. The
accumulation of the elements studied were investigated by Kruskal-Wallis and
Mann-Whitney U tests. According to the results, the least and the most common
elements are Cu and Ba, respectively. The differences in the amount of all
elements except Ni and Mo were statistically significant (p<0.05). In
addition, both the amount of the elements and some water quality parameters
were compared with EPA (U. S. Environmental Protection Agency) and
Turkish inland water quality classes and no hazardous situation has been found.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Articles |
Authors | |
Publication Date | April 4, 2017 |
Published in Issue | Year 2017 Volume: 154 Issue: 154 |
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