title: A methodology for the quantitative risk assessment of major accidents triggered by seismic events.
abstract: A procedure for the quantitative risk assessment of accidents triggered by seismic events in industrial facilities was developed. The starting point of the procedure was the use of available historical data to assess the expected frequencies and the severity of seismic events. Available equipment-dependant failure probability models (vulnerability or fragility curves) were used to assess the damage probability of equipment items due to a seismic event. An analytic procedure was subsequently developed to identify, evaluate the credibility and finally assess the expected consequences of all the possible scenarios that may follow the seismic events. The procedure was implemented in a GIS-based software tool in order to manage the high number of event sequences that are likely to be generated in large industrial facilities. The developed methodology requires a limited amount of additional data with respect to those used in a conventional QRA, and yields with a limited effort a preliminary quantitative assessment of the contribution of the scenarios triggered by earthquakes to the individual and societal risk indexes. The application of the methodology to several case-studies evidenced that the scenarios initiated by seismic events may have a relevant influence on industrial risk, both raising the overall expected frequency of single scenarios and causing specific severe scenarios simultaneously involving several plant units.
authors.affiliation: Dipartimento di Ingegneria Chimica, Mineraria e delle Tecnologie Ambientali, Alma Mater Studiorum, Università di Bologna, viale Risorgimento n. 2, 40136 Bologna, Italy.
authors.forename: Giacomo
authors.initials: G
authors.lastname: Antonioni
authors.forename: Gigliola
authors.initials: G
authors.lastname: Spadoni
authors.forename: Valerio
authors.initials: V
authors.lastname: Cozzani
mesh_terms: D000059:Accidents / Q000145:classification*; D000062:Accidents, Occupational; D004190:Disasters; D004868:Equipment Failure; D008962:Models, Theoretical; D018570:Risk Assessment / Q000379:methods*; D012984:Software