Probabilistic risk assessment definition

Probabilistic risk assessment means a mathematical technique for assessing the variability and uncertainty in risk calculations. This is done by using distributions for model input parameters, rather than point values, where sufficient data exists to justify the distribution. These distributions are then used to compute various simulations using tools such as Monte Carlo analysis to examine the probability that a given outcome will result (such as a level of risk being exceeded). When using probabilistic techniques under this chapter for human health risk assessment, distributions shallmay not be used to represent dose response relationships (reference dose, reference concentration, cancer potency factor).

Probabilistic risk assessment means a risk assessment performed using a mathematical technique that produces a distribution of values for a calculated term by solving for that term in successive iterations. Each successive iteration requires the selection of a single input value from defined distribution(s) for each of the terms used to derive the calculated term.

Probabilistic risk assessment means a site-specific risk assessment performed using a statistical sampling technique that produces a probabilistic approximation of the potential risk from the site-specific risk assessment algorithm or model.

Examples of Probabilistic risk assessment in a sentence

• List of Subjects in 10 CFR Part 52 Administrative practice and procedure, Antitrust, Combined license, Early site permit, Emergency planning, Fees, Incorporation by reference, Inspection, Issue finality, Limited work authorization, Nuclear power plants and reactors, Probabilistic risk assessment, Prototype, Reactor siting criteria, Redress of site, Penalties, Reporting and recordkeeping requirements, Standard design, Standard design certification.

• Probabilistic risk assessment according to EPA's Guiding Principles for Monte Carlo Analysis (EPA/630/R-97/001) or RAGS - Part E methodology to provide probability density function [PDF] for identifying and 90th percentile risk and hazard.

• Probabilistic risk assessment could probably be used more frequently; it could provide useful information for many risk assessments beyond screening-level assessments.

• Probabilistic risk assessment incorporating the entire process, including the toxicity part of the risk assessment and not only the exposure component, would be particularly useful.

• Probabilistic risk assessment has been used in dose-response assessment to determine and distinguish the degree of uncertainty and variability in toxicokinetic and toxicodynamic modeling.

• Probabilistic risk assessment of Olkiluoto unit 3The vendor of Olkiluoto unit 3 conducted a design phase PRA, which TVO submitted in 2004 to STUK for the review of the construction licence applica- tion as required by the Nuclear Energy Decree.

• Probabilistic risk assessment of the Olkiluoto units 1 and 2TVO submitted to STUK the first version of Level1 PRA in 1989.

• Probabilistic risk assessment of the Loviisa NPPFortum provided STUK with Level 1 PRA in 1989.

• Probabilistic risk assessment studies are conducted to quantify the incremental core damage frequency as a result of the outage activities and system unavailability.

• Probabilistic risk assessment methods may be used under this chapter only on an informational basis for evaluating alternative remedies.

More Definitions of Probabilistic risk assessment

Probabilistic risk assessment means the use of a mathematical model based on probability distribution functions, as opposed to fixed point estimates, to characterize exposure and quantify risk and hazard in a risk assessment.

Probabilistic risk assessment means a mathematical technique for assessing the variability and uncertainty in risk calculations. This is done by using distributions for model

Probabilistic risk assessment means a mathematical technique for assessing the vari- ability and uncertainty in risk calculations. This is done by using distributions for model input pa- rameters, rather than point values, where sufficient data exists to justify the distribution. These distributions are then used to compute various simulations using tools such as Monte Carlo analysis to examine the probability that a given outcome will result (such as a level of risk being exceeded). When using probabilistic techniques under this chapter for human health risk assess- ment, distributions shall not be used to represent