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Technological accidents triggered by natural disasters (Natech) have become a significant threat to the safety of coastal energy infrastructure. The domino accidents involved could propagate rapidly in a short duration and amplify an accident exponentially. In previous studies of Natech-related domino accidents, the scope of natural disasters was mainly focused on the phase of primary events, and the subsequent accident cascades were entirely driven by the domino effect. This simplification essentially weakens the real-time intervention of ongoing disasters in the evolution of accidents, making it difficult to accurately model the evolutionary patterns of domino accidents. Accordingly, a Natech-related domino evolution graph (NT-DEG) is proposed in this paper for dynamic modeling of accident evolution under the real-time disturbance of natural disasters. In addition, a stochastic process and a deterministic process are innovatively used to control the generation of primary events and the update of the evolution network at each timestamp. Moreover, using a dynamic community detection algorithm and graph metrics, an identification method for critical units in dynamic domino accidents is proposed. The application of NT-DEG to typhoon-related Natech indicates that continuous-onset natural disasters may cause new failure units that could participate in the original domino accident at any moment. This real-time intervention noticeably changes the propagation path and scale of the original accident and accelerates accident evolution. In addition, the validation based on the integrated simulation reveals that the proposed identification method can accurately identify the critical units, and the safety measures against them can noticeably reduce the scale of accident cascades. [ABSTRACT FROM AUTHOR]

Evacuation path planning is an important research topic in emergency management of chemical accidents. Facing the challenges of the continuous increase in the frequency of multi-hazard chemical accidents including fires, explosions, and toxic releases, the requirement to improve the evacuation path planning method considering the dynamic and multi-hazard characteristics of the accidents has become increasingly urgent. In order to address the shortcomings of the static, single-hazard, and passive evacuation path planning methods, this paper proposes an evacuation path planning method for multi-hazard accidents in chemical industries based on advance and on-site risk perception. This method applies dynamic and comprehensive risk analysis as the equivalent distance criterion to improve the D* path planning algorithm. A chemical park in Guangzhou, China, is adopted as a case study to verify the effectiveness of the proposed method and quantitatively demonstrate the effect of the method in improving evacuation efficiency. This paper further discusses the flexibility of the proposed method in considering environmental factors, evacuation preferences, and emergency response requirements. The evacuation path planning method proposed in this paper is expected to contribute to the optimization of emergency management of multi-hazard accidents and provide guidance for the enhancement of safety and loss prevention in chemical industries. [ABSTRACT FROM AUTHOR]