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Health Risk Assessments using GIS Method for the Abandoned Asbestos Mines

GIS 기법을 이용한 폐석면 광산의 위해성 평가

  • Choi, Jin-Beom (Department of Earth and Environmental Sciences and Research Institute of Natural Sciences, Gyeongsang National University) ;
  • Son, Ill (Department of Geography Education, Pusan National University) ;
  • Noh, Jin-Hwan (Department of Geology, Kangwon National University)
  • 최진범 (경상대학교 지구환경과학과 및 기초과학연구소) ;
  • 손일 (부산대학교 지리교육과) ;
  • 노진환 (강원대학교 지질학과)
  • Received : 2011.03.23
  • Accepted : 2011.03.28
  • Published : 2011.03.31

Abstract

Health risk assessments for the abandoned asbestos mine were usually performed with activity-based sampling (ABS) method, which was not a effective tool for indexing health risk on an exact small area of mine. A newly proposed potential index of health risk (PIHR) was applied with proper spatial determination of geographical information system (GIS) to assess quantitatively health risks. A new trial was applied to a certain abandoned mine in Boryong as follows: A high grade area of PIHR was estimated 7.8% of the whole area of the mine (about 27.3 ha). Based on US EPA IRIS (integrated risk information system) model considering lifetime excess cancer risk (LECR), the health risk assessment indicated that the high grade area increased from 3.0 ha through 12.9 ha to 19.5 ha with an increase of asbestos contents in soil from 0.36% (1E-04 level) through 0.1% (3E-05 level) to 0.04% (1E-05 level). These results can be effectively applied to determine reclamation area of the abandoned asbestos mine.

폐석면 광산의 위해성 평가는 통상 ABS 방식에 의해 이루어지지만, 조사지역 전반에 관한 위해성 경향을 파악하는 데 그치는 한계를 지닌다. 이 연구에서는 새로운 평가방식으로 잠재적 위해지수(PIHR)라는 개념을 도입하여 석면 위해도를 계랑화하였다. PIHR 값에 대해 석면이 인체에 위해를 주는 요인들을 고려하여 적절한 가중치를 부여한 후, 토양 내 석면 농도 값을 적용하여 지리정보시스템(GIS)의 적지선정기법을 활용하여 위해성 평가를 실시하였다. 충청남도 보령시에 위치한 어느 폐석면 광산에 적용한 결과, 잠재적 위해 지수가 매우 높은 지역은 전체 면적의 7.8%에 해당되는 27.3 ha이며, 위해성 평가는 미국 환경보호청의 종합위해정보시스템(IRIS) 모델을 적용하여 각각 만 명당 1명(석면농도 0.36% 이상), 3만 명당 1명(석면농도 0.1% 이상), 10만 명당 1명(석면농도 0.04% 이상) 평생초과 발암 위험도 기준으로 관리할 경우 3.0, 12.9, 19.5 ha로 면적이 증가한다. 이러한 결과는 향후 광해 복원범위 선정에 효과적으로 적용할 수 있다.

Keywords

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