Journal of the Korea Safety Management & Science (대한안전경영과학회지)

Korea Safety Management & Science (대한안전경영과학회)
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Risk Assessment for Heavy Metal Pollutants of Abandoned Mines Using Statistical Techniques

통계적 기법을 이용한 휴폐광산의 중금속 위해성 평가

  • 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)
  • 도현승 (청주대학교 토목환경공학과) ;
  • 김성덕 (청주대학교 토목환경공학과) ;
  • 이승주 (청주대학교 바이오정보통계학과)
  • Published : 2009.09.30
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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

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