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A resilience evaluation method for multi‐hazard domino‐effect accidents in chemical industry parks considering safety barriers.

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Title: A resilience evaluation method for multi‐hazard domino‐effect accidents in chemical industry parks considering safety barriers.
Authors: Gao, Tingyu1,2 (AUTHOR), Chen, Guohua1,2 (AUTHOR) mmghchen@scut.edu.cn
Source: Canadian Journal of Chemical Engineering. May2026, Vol. 104 Issue 5, p2416-2429. 14p.
Subjects: Disaster resilience, Loss control, Probability theory, Industrial districts
Abstract: The concentration of chemical enterprises in chemical industry parks (CIPs) has led to the accumulation of hazardous chemical risks, frequent multi‐hazard coupling accidents, and escalation of domino effects. Existing evaluation methods struggle to characterize the interrelations between hazards, adaptability, and recovery characteristics. This work proposes a resilience‐assessment method for multi‐hazard coupling domino‐effects accidents in CIPs, considering safety barriers to fill these gaps. First, multi‐hazard coupling scenarios are identified by integrating the temporal clustering and spatial aggregation features of hazards. Second, the hazard disruption‐system feedback response mechanism is analyzed to establish a quantitative resilience model for CIPs. Third, the probabilities of multi‐hazard interactions and domino‐effect escalation are quantified to evaluate the influence of safety barriers on accident occurrence probabilities. Finally, case simulations are conducted to compare the impacts of different safety‐barrier configurations on resilience, providing recommendations for optimizing safety barriers in CIPs. Results indicate that the effectiveness of safety barriers significantly influences the strength of system adaptability and recovery capabilities in multi‐hazard coupling domino‐effect scenarios. Their performance directly affects the trough depth and recovery slope of the system‐performance curve. [ABSTRACT FROM AUTHOR]
Copyright of Canadian Journal of Chemical Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A resilience evaluation method for multi‐hazard domino‐effect accidents in chemical industry parks considering safety barriers.
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  Data: <searchLink fieldCode="AR" term="%22Gao%2C+Tingyu%22">Gao, Tingyu</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Guohua%22">Chen, Guohua</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> mmghchen@scut.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Canadian+Journal+of+Chemical+Engineering%22">Canadian Journal of Chemical Engineering</searchLink>. May2026, Vol. 104 Issue 5, p2416-2429. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Disaster+resilience%22">Disaster resilience</searchLink><br /><searchLink fieldCode="DE" term="%22Loss+control%22">Loss control</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+districts%22">Industrial districts</searchLink>
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  Data: The concentration of chemical enterprises in chemical industry parks (CIPs) has led to the accumulation of hazardous chemical risks, frequent multi‐hazard coupling accidents, and escalation of domino effects. Existing evaluation methods struggle to characterize the interrelations between hazards, adaptability, and recovery characteristics. This work proposes a resilience‐assessment method for multi‐hazard coupling domino‐effects accidents in CIPs, considering safety barriers to fill these gaps. First, multi‐hazard coupling scenarios are identified by integrating the temporal clustering and spatial aggregation features of hazards. Second, the hazard disruption‐system feedback response mechanism is analyzed to establish a quantitative resilience model for CIPs. Third, the probabilities of multi‐hazard interactions and domino‐effect escalation are quantified to evaluate the influence of safety barriers on accident occurrence probabilities. Finally, case simulations are conducted to compare the impacts of different safety‐barrier configurations on resilience, providing recommendations for optimizing safety barriers in CIPs. Results indicate that the effectiveness of safety barriers significantly influences the strength of system adaptability and recovery capabilities in multi‐hazard coupling domino‐effect scenarios. Their performance directly affects the trough depth and recovery slope of the system‐performance curve. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Canadian Journal of Chemical Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1002/cjce.70137
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 2416
    Subjects:
      – SubjectFull: Disaster resilience
        Type: general
      – SubjectFull: Loss control
        Type: general
      – SubjectFull: Probability theory
        Type: general
      – SubjectFull: Industrial districts
        Type: general
    Titles:
      – TitleFull: A resilience evaluation method for multi‐hazard domino‐effect accidents in chemical industry parks considering safety barriers.
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            NameFull: Gao, Tingyu
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 104
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              Value: 5
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            – TitleFull: Canadian Journal of Chemical Engineering
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