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Event assessment data, classifying

Seismic Risk Assessment, Cascading Effects, Fig. 3 Percentage of landslide events in Italy classified by the triggering mechanism (Source of the data CNR-GNDCI -database of areas affected by landslides and floods in Italy)... [Pg.3011]

Semiquantitative methods are used to describe the relative risk scale. For example, risk can be classified into categories such as low, medium, high, or very high. The number of levels of risk can vary from (say) a to b. In a semiquantitative approach, different scales are used to characterize the likelihood of adverse events and their consequences. Analyzed probabilities and their consequences do not require accurate mathematical data. Semiquantitative assessment is useful especially if quantification of risk is difficult. At the same time, qualitative interpretation is too subjective. As already discussed, the risk graph (highly project dependent) discussed in Chapter 1 in conjunction with available guided risk nomogram or LOPA approach, is commonly used for this purpose. Here discussions wiU be mainly on the LOPA approach (LOPA wiU be dealt with separately later). [Pg.148]

The project SEMB analysed the threat potential which lEMI (intentional electromagnetic interference) poses to Cl in Austria. The non-classified study analysed freely available literature on respective events, available lEMI weapons and their cost, and the state of the art with respect to technical protective measures. In addition, an appropriate risk analysis method was developed, which was intended to support Cl providers in judging where in the infrastructure to prioritize improvements of protective measures. This paper describes the selection and adaptation of the risk analysis method, explains the effort-saving way of data capturing and shows how the risk assessment results are presented. Finally, some of the results are shown, which were obtained in the verification of the method on the basis of three vehicle convoy scenarios. The conclusions comprise a judgment on the benefit of the method and an outlook on further research planned. [Pg.254]


See other pages where Event assessment data, classifying is mentioned: [Pg.245]    [Pg.526]    [Pg.92]    [Pg.1564]    [Pg.283]    [Pg.78]    [Pg.527]    [Pg.172]    [Pg.91]    [Pg.533]    [Pg.976]    [Pg.220]   
See also in sourсe #XX -- [ Pg.35 ]




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