TY - JOUR
T1 - Dynamic risk analysis for Seveso sites
AU - Paltrinieri, Nicola
AU - Reniers, Genserik
PY - 2017
Y1 - 2017
N2 - The accident that occurred in Seveso in 1976 changed our approach to risk assessment forever. For instance, it led to drafting specific European directives to prevent major accident hazards. Their focus is on industrial sites handling dangerous substances and denominated “Seveso sites”. Their operators have the obligation to provide specific information to the competent authorities, such as safety reports. However, risk analysis studies usually provide a static picture of the site status, while the system constantly evolves or degrades. For this reason, this contribution suggests a dynamic risk analysis approach aiming to continuously calibrate and improve, based on new related evidence and lessons learned. The work suggests focusing on such early deviations to lower the probability of high impact low probability (HILP) events. Three complementary methods may be used to process such information: dynamic hazard identification, dynamic analysis of initiating events, and dynamic analysis of consequences. A representative example of their potential is provided by comparing their capabilities with the causes that led to the Seveso catastrophe. Despite its limitations, Dynamic Risk Analysis represents an opportunity for improved decision-making support and critical risk communication.
AB - The accident that occurred in Seveso in 1976 changed our approach to risk assessment forever. For instance, it led to drafting specific European directives to prevent major accident hazards. Their focus is on industrial sites handling dangerous substances and denominated “Seveso sites”. Their operators have the obligation to provide specific information to the competent authorities, such as safety reports. However, risk analysis studies usually provide a static picture of the site status, while the system constantly evolves or degrades. For this reason, this contribution suggests a dynamic risk analysis approach aiming to continuously calibrate and improve, based on new related evidence and lessons learned. The work suggests focusing on such early deviations to lower the probability of high impact low probability (HILP) events. Three complementary methods may be used to process such information: dynamic hazard identification, dynamic analysis of initiating events, and dynamic analysis of consequences. A representative example of their potential is provided by comparing their capabilities with the causes that led to the Seveso catastrophe. Despite its limitations, Dynamic Risk Analysis represents an opportunity for improved decision-making support and critical risk communication.
KW - Dynamic risk analysis
KW - DyPASI
KW - Hazardous substances
KW - Risk Barometer
KW - Seveso site
KW - Thermal risk index
UR - http://www.scopus.com/inward/record.url?scp=85016425166&partnerID=8YFLogxK
U2 - 10.1016/j.jlp.2017.03.023
DO - 10.1016/j.jlp.2017.03.023
M3 - Article
AN - SCOPUS:85016425166
VL - 49
SP - 111
EP - 119
JO - Journal of Loss Prevention in the Process Industries: the international journal of chemical and process plant safety
JF - Journal of Loss Prevention in the Process Industries: the international journal of chemical and process plant safety
SN - 0950-4230
ER -