Recommendation and current status in exposure assessment using monitoring data in ship building industry - focused on the similar exposure group(SEG)

조선업의 작업환경측정결과를 이용한 노출평가의 문제점과 해결방향 - 유사노출군을 중심으로 -

  • Roh, Youngman (Industrial Medical Center, Department of Preventive Medicine, College of Medicine, The Catholic University) ;
  • Yim, Hyeon Woo (Industrial Medical Center, Department of Preventive Medicine, College of Medicine, The Catholic University) ;
  • Kim, Suk Il (Industrial Medical Center, Department of Preventive Medicine, College of Medicine, The Catholic University) ;
  • Park, Hyo Man (Industrial Medical Center, Department of Preventive Medicine, College of Medicine, The Catholic University) ;
  • Jung, Jae Yeol (Industrial Medical Center, Department of Preventive Medicine, College of Medicine, The Catholic University) ;
  • Park, Sook Kyung (Industrial Medical Center, Department of Preventive Medicine, College of Medicine, The Catholic University) ;
  • Kim, Hyun-Wook (Industrial Medical Center, Department of Preventive Medicine, College of Medicine, The Catholic University) ;
  • Chung, Chee Kyung (Industrial Medical Center, Department of Preventive Medicine, College of Medicine, The Catholic University) ;
  • Lee, Won Chul (Industrial Medical Center, Department of Preventive Medicine, College of Medicine, The Catholic University) ;
  • Kim, Jung Man (Department of Preventive Medicine, Dong-A University) ;
  • Kim, Soo Keun (Department of Preventive Medicine, Dongguk University) ;
  • Koh, Sang Baek (Department of Preventive medicine, Koje Hospital) ;
  • Karl, Sieber (National Institute for Occupational Safety and Health, USA) ;
  • Kim, Euna (Health Research Institute, KOSHA) ;
  • Choi, Jung Keun (Health Research Institute, KOSHA)
  • 노영만 (가톨릭대학교 의과대학 예방의학교실 산업의학센터) ;
  • 임현우 (가톨릭대학교 의과대학 예방의학교실 산업의학센터) ;
  • 김석일 (가톨릭대학교 의과대학 예방의학교실 산업의학센터) ;
  • 박효만 (가톨릭대학교 의과대학 예방의학교실 산업의학센터) ;
  • 정재열 (가톨릭대학교 의과대학 예방의학교실 산업의학센터) ;
  • 박숙경 (가톨릭대학교 의과대학 예방의학교실 산업의학센터) ;
  • 김현욱 (가톨릭대학교 의과대학 예방의학교실 산업의학센터) ;
  • 정치경 (가톨릭대학교 의과대학 예방의학교실 산업의학센터) ;
  • 이원철 (가톨릭대학교 의과대학 예방의학교실 산업의학센터) ;
  • 김정만 (동아대학교 예방의학교실) ;
  • 김수근 (동국대학교 예방의학교실) ;
  • 고상백 (아주대 의료원 거제병원 산업의학연구소) ;
  • ;
  • 김은아 (한국산업안전보건연구원 산업역학조사센터) ;
  • 최정근 (한국산업안전보건연구원 산업역학조사센터)
  • Received : 2001.07.27
  • Accepted : 2001.08.16
  • Published : 2001.08.30

Abstract

Statistical approaches for analysis of data from the limited number of samples in ship building industry(SBI) collected by an industrial hygienist for checking compliance to an occupational standard were considered. Sampling for compliance usually has been guided by judgment selection, rather than true randomness, resulting in the creation of compliance samples which approximate a censored sample from the upper tail of the exposure distribution. Similar exposure groups(SEGs) including welding and painting process were established to assess representative values in each groups after reviewing the whole production line in SBI. For the convenient statistical approaches, the code has assigned to each SEGs. The descriptive statistics and probability plotting were used to yield the representative values in each SEGs. In the first step, SEGs of 558 were established from 5 ship building companies. The 38 SEGs showed the uncertainty are divided into each 5 companies and assessed the representative values again. The 44 SEGs in each companies was not showed the normal and lognormal distribution was analyzed each data. And also, recommendation was suggested to resolve the uncertainty in each groups.

Keywords