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통계적 기법을 이용한 휴폐광산의 중금속 위해성 평가

원문정보

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

도현승, 김성덕, 이승주

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

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.

목차

Abstract
 1. 서론
 2. 연구방법
  2.1 연구 영역
 3. 분석결과 및 고찰
  3.1 중금속의 토양오염 자료에 대한 일변량 분석
  3.2 중금속의 토양오염 자료에 대한 상관분석
  3.3 중금속의 토양오염 자료에 대한 군집분석
 4. 결론
 5. 참고문헌

저자정보

  • 도현승 Hyon-Seung Dho. 청주대학교 토목환경공학과
  • 김성덕 Sung Duk Kim. 청주대학교 토목환경공학과
  • 이승주 Seung-Joo Lee. 청주대학교 바이오정보통계학과

참고문헌

자료제공 : 네이버학술정보

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