{"title":"An event-driven modeling methodology of situation awareness: Towards emergency response process in fire-induced domino scenario","authors":"Lixing Zhou , Guohua Chen , Xiaoming Gao","doi":"10.1016/j.jlp.2025.105618","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"96 ","pages":"Article 105618"},"PeriodicalIF":3.6000,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Loss Prevention in The Process Industries","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0950423025000762","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
The broad scope of the journal is process safety. Process safety is defined as the prevention and mitigation of process-related injuries and damage arising from process incidents involving fire, explosion and toxic release. Such undesired events occur in the process industries during the use, storage, manufacture, handling, and transportation of highly hazardous chemicals.