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An integrated emergency response model for toxic gas release accidents based on cellular automata

Author

Listed:
  • Huan Cao

    (East China University of Science and Technology
    East China University of Science and Technology)

  • Tian Li

    (East China University of Science and Technology
    East China University of Science and Technology)

  • Shuxia Li

    (East China University of Science and Technology
    East China University of Science and Technology)

  • Tijun Fan

    (East China University of Science and Technology
    East China University of Science and Technology)

Abstract

An integrated emergency response model based on cellular automata (CA) is proposed for the toxic gas release accidents that happen in the energy and chemical industry. This integrated emergency response model consists of three sub-models: a toxic gas dispersion model, a dynamic evaluation model for accident consequences, and an evacuation route selection model. When a toxic gas release accident happens, the dispersion model predicts the distribution of toxic gas concentration, the evaluation model estimates the consequences in terms of probability of death, expected fatalities and impact scope caused by the accident, and the route selection model provides the safest evacuation route for evacuees. The three sub-models run simultaneously and present real-time results. The proposed model is applied to an ammonia gas release accident in an energy and chemical enterprise, and the corresponding model results are discussed. The efficiency of emergency response for toxic gas release accidents can be further improved through the proposed integrated emergency response model based on CA.

Suggested Citation

  • Huan Cao & Tian Li & Shuxia Li & Tijun Fan, 2017. "An integrated emergency response model for toxic gas release accidents based on cellular automata," Annals of Operations Research, Springer, vol. 255(1), pages 617-638, August.
  • Handle: RePEc:spr:annopr:v:255:y:2017:i:1:d:10.1007_s10479-016-2125-4
    DOI: 10.1007/s10479-016-2125-4
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    References listed on IDEAS

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    1. Huiyu Xuan & Lida Xu & Lu Li, 2009. "A CA-based epidemic model for HIV/AIDS transmission with heterogeneity," Annals of Operations Research, Springer, vol. 168(1), pages 81-99, April.
    2. Saadatseresht, Mohammad & Mansourian, Ali & Taleai, Mohammad, 2009. "Evacuation planning using multiobjective evolutionary optimization approach," European Journal of Operational Research, Elsevier, vol. 198(1), pages 305-314, October.
    3. Zheng, Ying & Jia, Bin & Li, Xin-Gang & Zhu, Nuo, 2011. "Evacuation dynamics with fire spreading based on cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(18), pages 3147-3156.
    4. Yuan, Weifeng & Tan, Kang Hai, 2011. "A model for simulation of crowd behaviour in the evacuation from a smoke-filled compartment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4210-4218.
    5. Bretschneider, S. & Kimms, A., 2011. "A basic mathematical model for evacuation problems in urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 523-539, July.
    6. Burstedde, C & Klauck, K & Schadschneider, A & Zittartz, J, 2001. "Simulation of pedestrian dynamics using a two-dimensional cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 507-525.
    7. Li, Jun & Fu, Siyao & He, Haibo & Jia, Hongfei & Li, Yanzhong & Guo, Yi, 2015. "Simulating large-scale pedestrian movement using CA and event driven model: Methodology and case study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 304-321.
    8. Goerigk, Marc & Deghdak, Kaouthar & Heßler, Philipp, 2014. "A comprehensive evacuation planning model and genetic solution algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 82-97.
    9. Varas, A. & Cornejo, M.D. & Mainemer, D. & Toledo, B. & Rogan, J. & Muñoz, V. & Valdivia, J.A., 2007. "Cellular automaton model for evacuation process with obstacles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(2), pages 631-642.
    10. Mukesh Rungta & Gino Lim & MohammadReza Baharnemati, 2012. "Optimal egress time calculation and path generation for large evacuation networks," Annals of Operations Research, Springer, vol. 201(1), pages 403-421, December.
    11. Georgiadou, Paraskevi S. & Papazoglou, Ioannis A. & Kiranoudis, Chris T. & Markatos, Nikolaos C., 2007. "Modeling emergency evacuation for major hazard industrial sites," Reliability Engineering and System Safety, Elsevier, vol. 92(10), pages 1388-1402.
    12. Nathan Dahl & Haidong Xue & Xiaolin Hu & Ming Xue, 2015. "Coupled fire–atmosphere modeling of wildland fire spread using DEVS-FIRE and ARPS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1013-1035, June.
    13. J. Timothy Wootton, 2001. "Local interactions predict large-scale pattern in empirically derived cellular automata," Nature, Nature, vol. 413(6858), pages 841-844, October.
    14. X Chen & F B Zhan, 2008. "Agent-based modelling and simulation of urban evacuation: relative effectiveness of simultaneous and staged evacuation strategies," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(1), pages 25-33, January.
    15. Bretschneider, S. & Kimms, A., 2012. "Pattern-based evacuation planning for urban areas," European Journal of Operational Research, Elsevier, vol. 216(1), pages 57-69.
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