Application of Probabilistic Health Risk Analysis in Life Cycle Assessment -Part I : A General Framework for Uncertainty and Variability Analysis of Health Risk in Life Cycle Assessment

전과정평가에 있어 확률론적 건강영향분석기법 적용 -Part I : 전과정평가에 있어 확률론적 위해도 분석기법 적용방안에 관한 연구

  • Choi, Kwang-Soo (Environmental Epidemiology Division, Department of Environmental Risk Research, National Institute of Environmental Research) ;
  • Park, Jae-Sung (Environmental Epidemiology Division, Department of Environmental Risk Research, National Institute of Environmental Research)
  • 최광수 (국립환경연구원 환경위해성연구부 환경역학조사과) ;
  • 박재성 (국립환경연구원 환경위해성연구부 환경역학조사과)
  • Published : 2000.09.30

Abstract

Uncertainty and variability in Life Cycle Assessment(LCA) have been significant key issues in LCA methodology with techniques in other research area such as social and political science. Variability is understood as stemming from inherent variations in the real world, while uncertainty comes from inaccurate measurements, lack of data, model assumptions, etc. Related articles in this issues were reviewed for classification, distinguish and elaboration of probabilistic/stochastic health risk analysis application in LCA. Concept of focal zone, streamlining technique, scenario modelling and Monte Carlo/Latin Hypercube risk analysis were applied to the uncertainty/variability analysis of health risk in LCA. These results show that this general framework of multi-disciplinary methodology between probabilistic health risk assessment and LCA was of benefit to decision making process by suppling information about input/output data sensitivity, health effect priority and health risk distribution. There should be further research needs for case study using this methodology.

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