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	Sensitivity of key factors and uncertainties in health risk assessment of benzene pollutant
	Liu Zhi-quan ; Zhang Ying-hua ; Li Guang-he ; Zhang Xu
	2010-05-10 ; 2010-05-10
关键词	Theoretical or Mathematical/ air pollution atmospheric composition groundwater health hazards hydrology Monte Carlo methods organic compounds probability risk analysis/ benzene pollutant human health risks assessment probability distributions MMSOILS model Monte Carlo techniques data collection integrated uncertainty analysis drinking groundwater risk inhalation air risk/ A9240K Groundwater A9240Q Water quality and water resources A9260H Chemical composition and chemical interactions in the lower atmosphere A9260T Air quality and air pollution A8670G Atmosphere (environmental science) A8670E Water (environmental science)
中文摘要	Predicting long-term potential human health risks from contaminants in the multimedia environment requires the use of models. However, there is uncertainty associated with these predictions of many parameters which can be represented by ranges or probability distributions rather than single value. Based on a case study with information from an actual site contaminated with benzene, this study describes the application of MMSOILS model to predict health risk and distributions of those predictions generated using Monte Carlo techniques. A sensitivity analysis was performed to evaluate which of the random variables are most important in producing the predicted distributions of health risks. The sensitivity analysis shows that the predicted distributions can be accurately reproduced using a small subset of the random variables. The practical implication of this analysis is the ability to distinguish between important versus unimportant random variables in terms of their sensitivity to selected endpoints. This directly translates into a reduction in data collection and modeling effort. It was demonstrated that how correlation coefficient could be used to evaluate contributions to overall uncertainty from each parameter. The integrated uncertainty analysis shows that although drinking groundwater risk is similar with inhalation air risk, uncertainties of total risk come dominantly from drinking groundwater route. Most percent of the variance of total risk comes from four random variables.
语种	中文 ; 中文
出版者	Editorial Board of Journal of Environmetal Sciences ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/23271]
专题	清华大学
推荐引用方式 GB/T 7714	Liu Zhi-quan,Zhang Ying-hua,Li Guang-he,et al. Sensitivity of key factors and uncertainties in health risk assessment of benzene pollutant[J],2010, 2010.
APA	Liu Zhi-quan,Zhang Ying-hua,Li Guang-he,&Zhang Xu.(2010).Sensitivity of key factors and uncertainties in health risk assessment of benzene pollutant..
MLA	Liu Zhi-quan,et al."Sensitivity of key factors and uncertainties in health risk assessment of benzene pollutant".(2010).

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