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Risk Assessment for Heavy Metal Pollutants of Abandoned Mines Using Statistical Techniques  

Dho, Hyon-Seung (Department of Civil & Environmental Engineering, Cheongju University)
Kim, Sung-Duk (Department of Civil & Environmental Engineering, Cheongju University)
Lee, Seung-Joo (Department of Bioinformatics & Statistics, Cheongju University)
Publication Information
Journal of the Korea Safety Management & Science / v.11, no.3, 2009 , pp. 41-48 More about this Journal
Abstract
The risk assessment for heavy metal pollutions were analyzed by using statistical techniques including correlation and cluster analyses. The contamination data in this investigation obtained were from the Chungcheongnam-do abandoned mines. The descriptive statistical analysis showed that the values of Pb and Zn were relatively higher than other heavy metal values. The detection of heavy metals by distance from abandoned mines within 1,000m were mostly As, Cd, Pb, and Zn. It was noted, especially, that Zn was even detected at 4,000m The results of coefficient correlation showed that Zn to Cd was the highest values. The cluster and dendogram analyses were generated. The results showed the two clear groups by heavy metal characteristics.
Keywords
Correlation Analysis; Cluster Analysis; Abandoned Mines; Heavy Metal Pollutants;
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