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  • 标题:A Study on Comparison of Risk Estimates Among Various Exposure Scenario of Several Volatile Organic Compounds in Tap Water
  • 其他标题:음용수중 휘발성 유기오염물질의 노출경로에 따른 위해도 추정치 비교연구
  • 本地全文:下载
  • 作者:Yong Chung ; Dong-Chun Shin ; Jong-Man Kim
  • 期刊名称:Environmental Health and Toxicology
  • 电子版ISSN:2233-6567
  • 出版年度:1995
  • 卷号:10
  • 期号:1
  • 语种:English
  • 出版社:Korean Society of Environmental Health and Toxicology
  • 摘要:Risk assessment processes,which include processes for the estimation of human cancer potency using animal bioassay data and calculation of human exposure,entail uncertainties. In the exposure assessment process,exposure scenarios with various assumptions could affect the exposure amount and excess cancer risk. We compared risk estimates among various exposure scenarios of vinyl chloride,trichloroethylene and tetrachloroethylene in tap water. The contaminant concentrations were analyzed from tap water samples in Seoul from 1993 to 1994. The oral and inhalation cancer potencies of the contaminants were estimated using multistage,Weibull,lognormal,and Mantel-Bryan model in TOX-RISK computer software. In the first case,human excess cancer risk was estimated by the US EPA method used to set the MCL(maximum contaminant level). In the second and third case,the risk was estimated for multi-route exposure with and without adopting Monte-Carlo simulation,respectively. In the second case,exposure input parameters and cancer potencies used probability distributions,and in the third case,those values used point estimates(mean,and maximum or 95% upper-bound value). As a result,while the excess cancer risk estimated by US EPA method considering only direct ingestion tended to be underestimated,the risk which was estimated by considering multi-route exposure without Monte-Carlo simulation and then using the maximum or 95% upper^bound value as input parameters tended to be overestimated. In risk assessment for volatile organic compounds,considering multi-route exposure with adopting Monte-Carlo analysis seems to provide the most reasonable estimations.
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