An event-driven modeling methodology of situation awareness: Towards emergency response process in fire-induced domino scenario
The fire-induced domino scenario in chemical industry park will cause catastrophic consequences because of the various combinations of space-scale accident scenarios and complex evolutionary contingencies. Previous studies on domino effects focus on pre-accident prevention, while limited studies considering the safety protection to firefighters from the domino effects in emergency response are presented. Based on spatial-temporal characteristics of fire-induced domino scenario evolution, situation awareness (SA) is adopted, and the hierarchical application scheme of SA is designed to combine information-rich fire domino scenario and the decision-making of emergency response. Simultaneously, the fatality risk (FR) is selected as the critical objective; the fatality risk considering the synergistic effects is comprehended; an event-driven prediction of SA based on the state transition mechanism analyzed by the event tree analysis (ETA) is proposed, and the time-dependent and spatial-distributed fatality risk of conventional domino accidents and complex Natech events can be mapped through intuitive visualization.. The results show that the evolution of the domino effect has a strong temporal-spatial correlation, and the proposed method demonstrates a certain level of reliability in analyzing results, which can help firefighters make decision and take actions to ensure their safety. • Safety protection to firefighters from the domino effects in emergency response process is considered. • The hierarchical application scheme of situation awareness for bridging the information and decision-making is designed. • An event-driven predicting methodology based on the state transition mechanism is proposed. • The time-dependent and spatial-distributed fatality risk of conventional domino accidents and complex Natech events can be mapped through intuitive visualization.
Authors
- Guohua Chen (ORCID: https://orcid.org/0000-0001-8686-5483)
- Lixing Zhou
- Xiaoming Gao (ORCID: https://orcid.org/0000-0001-9643-920X)
Institutions
- South China University of Technology (CN)
Publication Details
- Journal
- Journal of Loss Prevention in the Process Industries
- Published
- 2025-03-05
- DOI
- https://doi.org/10.1016/j.jlp.2025.105618
- Citations
- 5
- Primary Topic
- Risk and Safety Analysis
- Type
- article
- Field-Weighted Citation Impact
- 6.99
Funders
- National Natural Science Foundation of China
- Special Project for Research and Development in Key areas of Guangdong Province