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518                                                   Part V Risk Assessment

                 29.1.6  Analysis of Causes and Frequency of Initiating Events

                Analysis of possible causes of initiating events gives the best basis for identifying measures
                that may prevent occurrence of these events and thus prevent accidents. Frequency assessment
                 methods include:
                   historical data,
                   fault tree analysis,
                   event tree analysis,
                   failure mode and effect analysis (FMEA), and
                   human reliability analysis.
                 It is important to include the contributions from human and operational factors.
                 In  many cases, frequency may be estimated through direct comparison with experience or
                 extrapolation from historical data. However, in most risk assessment, the frequencies are very
                 low and therefore must be synthesized involving:
                    appropriate probabilistic mathematics,
                   development of basic failure data from available industry data, and
                    determination of  the  combinations  of  failures  and  circumstances that  can  cause  the
                    accidents.
                 29.1.7  Consequence and Escalation Analysis
                 This term is used  in a wide sense, including estimation of accidental loads and consequence
                 modeling,  modeling  of  escalation,  and  estimation  of  response  to  accidental  loads.  The
                 distinction between cause analysis and consequence analysis may vary somewhat according to
                 the  purpose  and  the nature  of the  analysis. The most  relevant methods  for the  escalation
                 analysis include:
                    event tree analysis,
                    fault tree analysis, and
                    simulation/ probabilistic analysis.
                 The consequence analysis involves the following:
                    To characterize the release of material or energy due to the hazards being identified using
                    experiments and the analysis models that have been developed for consequence analysis,
                   To measurelestimate the releaselpropagation of the materiauenergy in the environment on
                    the target of interest,
                    To quantify the  safety, health, environmental and  economical impacts on the target of
                    interests, in terms of the number of fatalities and injuries, amount of materials released to
                    the environment, and the dollar values lost.
                 Like frequency estimates, there are large uncertainties in the consequence estimates due to
                 differences in time-dependent meteorological conditions, basic uncertainties in physical and
                 chemical properties, and model uncertainties.
                 In  any  case,  examining  the  uncertainties  and  sensitivities  of  the  results  to  changes  in
                 assumptions and boundary conditions may provide great perspective. It is necessary to put a
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