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Use of Monte Carlo methods in environmental risk assessments at the INEL: Applications and issues

机译：使用蒙特卡罗方法进行INEL环境风险评估：应用和问题

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摘要

The EPA is increasingly considering the use of probabilistic risk assessment techniques as an alternative or refinement of the current point estimate of risk. This report provides an overview of the probabilistic technique called Monte Carlo Analysis. Advantages and disadvantages of implementing a Monte Carlo analysis over a point estimate analysis for environmental risk assessment are discussed. The general methodology is provided along with an example of its implementation. A phased approach to risk analysis that allows iterative refinement of the risk estimates is recommended for use at the INEL.

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作者
Harris, G. ; Van Horn, R.;
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年度 1996
页码 1-74
总页数 74
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Idaho National Engineering Laboratory; Risk Assessment; Monte Carlo Method; Remedial Action; Site Characterization;

机译：爱达荷州国家工程实验室;风险评估;蒙特卡罗方法;补救行动;场地特征;

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2. Issues and observations on applications of the constrained-path Monte Carlo method to many-fermion systems [J] . Carlson J., Ortiz G., Zhang SW., Physical Review, B. Condensed Matter . 1999,第20期

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3. Issues and observations on applications of the constrained-path Monte Carlo method to many-fermion systems [J] . Carlson J., Ortiz G., Zhang SW., Physical Review, B. Condensed Matter . 1999,第20期

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5. Applications of non-parametric kernel smoothing estimators in Monte Carlo risk assessments. [D] . Trapp, Allan Francis, II. 2012

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6. Comparison of two Bayesian methods to detect mode effects between paper-based and computerized adaptive assessments: a preliminary Monte Carlo study [O] . Barth B Riley, Adam C Carle 2012

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7. Use of Monte Carlo methods in environmental risk assessments at the INEL: Applications and issues [O] . Harris, G., Van Horn, R. 1996

机译：使用蒙特卡罗方法进行INEL环境风险评估：应用和问题
8. Use of Monte Carlo methods in environmental risk assessments at the INEL: Applications and issues [R] . Harris, G., Van Horn, R. 1996

机译：使用蒙特卡罗方法进行INEL环境风险评估：应用和问题

Use of Monte Carlo methods in environmental risk assessments at the INEL: Applications and issues

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