논문 상세보기

통계적 기법을 이용한 휴폐광산의 중금속 위해성 평가 KCI 등재

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

  • 언어KOR
  • URLhttps://db.koreascholar.com/Article/Detail/245691
구독 기관 인증 시 무료 이용이 가능합니다. 4,000원
대한안전경영과학회지 (Journal of Korea Safety Management & Science)
대한안전경영과학회 (Korea Safety Management & Science)
초록

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.

저자
  • 도현승 | Dho, Hyon-Seung
  • 김성덕 | Kim, Sung-Duk
  • 이승주 | Lee, Seung-Joo