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Resilience of chemical industrial areas through attenuation-based security

Author

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  • Reniers, G.L.L.
  • Sörensen, K.
  • Khan, F.
  • Amyotte, P.

Abstract

This paper investigates the possibility of attenuation-based security within chemical industrial areas. Representing chemical industrial areas as mathematical networks, we prove by case-study that the resilience to disaster of such areas may follow a power-law distribution. Furthermore, we examine what happens to the network when highly hazardous installations would be intelligently protected against malicious acts: the network disintegrates into separate smaller networks. Hence, islands are formed with no escalation danger in between. We conclude that it is possible to protect chemical industrial areas in such a way that they are more resilient against terrorism.

Suggested Citation

  • Reniers, G.L.L. & Sörensen, K. & Khan, F. & Amyotte, P., 2014. "Resilience of chemical industrial areas through attenuation-based security," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 94-101.
    • Handle: RePEc:eee:reensy:v:131:y:2014:i:c:p:94-101
    DOI: 10.1016/j.ress.2014.05.005
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    References listed on IDEAS

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    1. Reniers, G.L.L. & Sörensen, K. & Dullaert, W., 2012. "A multi-attribute Systemic Risk Index for comparing and prioritizing chemical industrial areas," Reliability Engineering and System Safety, Elsevier, vol. 98(1), pages 35-42.
    2. Barker, Kash & Ramirez-Marquez, Jose Emmanuel & Rocco, Claudio M., 2013. "Resilience-based network component importance measures," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 89-97.
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    Cited by:

    1. Bukowski, L., 2016. "System of systems dependability – Theoretical models and applications examples," Reliability Engineering and System Safety, Elsevier, vol. 151(C), pages 76-92.
    2. Argenti, Francesca & Landucci, Gabriele & Reniers, Genserik & Cozzani, Valerio, 2018. "Vulnerability assessment of chemical facilities to intentional attacks based on Bayesian Network," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 515-530.
    3. Tao Zeng & Guohua Chen & Yunfeng Yang & Genserik Reniers & Yixin Zhao & Xia Liu, 2020. "A Systematic Literature Review on Safety Research Related to Chemical Industrial Parks," Sustainability, MDPI, vol. 12(14), pages 1-27, July.
    4. Bowen Guo & Wei Zhan, 2023. "Research on Integrated Scheduling of Multi-Mode Emergency Rescue for Flooding in Chemical Parks," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    5. Chen, Chao & Yang, Ming & Reniers, Genserik, 2021. "A dynamic stochastic methodology for quantifying HAZMAT storage resilience," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    6. Janssens, Jochen & Talarico, Luca & Sörensen, Kenneth, 2016. "A hybridised variable neighbourhood tabu search heuristic to increase security in a utility network," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 221-230.
    7. Righi, Angela Weber & Saurin, Tarcisio Abreu & Wachs, Priscila, 2015. "A systematic literature review of resilience engineering: Research areas and a research agenda proposal," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 142-152.
    8. Janssens, Jochen & Talarico, Luca & Reniers, Genserik & Sörensen, Kenneth, 2015. "A decision model to allocate protective safety barriers and mitigate domino effects," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 44-52.
    9. Khakzad, Nima & Reniers, Genserik, 2015. "Using graph theory to analyze the vulnerability of process plants in the context of cascading effects," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 63-73.
    10. Zhang, Laobing & Reniers, Genserik & Chen, Bin & Qiu, Xiaogang, 2019. "CCP game: A game theoretical model for improving the scheduling of chemical cluster patrolling," Reliability Engineering and System Safety, Elsevier, vol. 191(C).

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