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Risk assessment determines possible mishaps, their likelihood and consequences, and the tolerances for such events. [1] [2] The results of this process may be expressed in a quantitative or qualitative fashion. Risk assessment is an inherent part of a broader risk management strategy to help reduce any potential risk-related consequences. [1] [3]
Simple to calculate: In simple cases, manual computing can be used to calculate a basic score (although some scores use rely on more sophisticated or less transparent calculations that require a computer program). Easily interpreted: The result of the calculation is a single number, with a higher score usually means higher risk.
Should the risk assessment establish that the required SIL cannot be achieved by a SIL4 SIF, then alternative arrangements must be designed, such as non-instrumented safeguards (e.g, a pressure relief valve). [1] There are several methods used to assign a SIL. These are normally used in combination, and may include: [1] Risk matrices; Risk graphs
The exposure factor is usually a subjective value that the person assessing risk must define. It is represented in the impact of the risk over the asset, or percentage of asset lost. As an example, if the asset value is reduced two thirds, the exposure factor value is 0.66. If the asset is completely lost, the exposure factor is 1.0.
The contents of this white paper and the FAIR framework itself are released under the Creative Commons Attribution-Noncommercial-Share Alike 2.5 license. The document first defines what risk is. The Risk and Risk Analysis section discusses risk concepts and some of the realities surrounding risk analysis and probabilities.
Risk is the lack of certainty about the outcome of making a particular choice. Statistically, the level of downside risk can be calculated as the product of the probability that harm occurs (e.g., that an accident happens) multiplied by the severity of that harm (i.e., the average amount of harm or more conservatively the maximum credible amount of harm).
Probabilistic risk assessment (PRA) is a systematic and comprehensive methodology to evaluate risks associated with a complex engineered technological entity (such as an airliner or a nuclear power plant) or the effects of stressors on the environment (probabilistic environmental risk assessment, or PERA).
[1] [6] [7] [11] [12] PNEC values can be used in conjunction with predicted environmental concentration values to calculate a risk characterization ratio (RCR), also called a Risk Quotient (RQ). RCR is equal to the PEC divided by the PNEC for a specific chemical and is a deterministic approach to estimating environmental risk at local or ...