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Chemical industrial areas may constitute potential targets for deliberate actions by terrorists. Terrorists having sufficient knowledge of chemical process operations or plant layout may take advantage of improvised explosive devices (IEDs) to cause major events such as fire, explosion and toxic gas dispersion with cross-border consequences in chemical clusters. Thus, an efficient cluster-wise emergency plan to enhance the promptness and efficacy of responding to such attacks is crucial. In this study, the effects of blast wave caused by IEDs are assessed and its potentiality in triggering domino scenarios are analysed. A decision tree is developed to determine the emergency level of each company within the cluster based on the attack outcomes. Furthermore, an alert notification system is set based on a decision matrix. Finally, the identified emergency levels and the alert levels are presented in form of a multi-plant decision matrix. The application of the developed methodology is demonstrated in a case study.
chemical industrial area, decision matrix, decision tree, emergency response, improvised explosive device, terrorist attack
[1] Baybutt, P., Strategies for protecting process plants against terrorism, sabotage and other criminal acts. Homeland Defence Journal, 2, pp. 1–7, 2003.
[2] Belke, J.C., Chemical accident risks in US industry—A preliminary analysis of accident risk data from US hazardous chemical facilities. Loss Prevention and Safety Promotion in the Process Industries, 2001, pp. 1275–1314, 2000. https://doi.org/10.1016/B978-044450699-3/50041-0
[3] Bajpai, S. & Gupta, J.P., Site security for chemical process industries. Journal of Loss Prevention in the Process Industries, 18(4), pp. 301–309, 2005. https://doi.org/10.1016/j.jlp.2005.06.011
[4] Arnold, J.L., Tsai, M.C., Halpern, P., Smithline, H., Stok, E. & Ersoy, G., Mass-casualty, terrorist bombings: epidemiological outcomes, resource utilization, and time course of emergency needs (Part I). Prehospital and Disaster Medicine, 18(3), pp. 220–234, 2003. https://doi.org/10.1017/s1049023x00001096
[5] Landucci, G., Reniers, G., Cozzani, V. & Salzano, E., Vulnerability of industrial facilities to attacks with improvised explosive devices aimed at triggering domino scenarios. Reliability Engineering & System Safety, 143, pp. 53–62, 2015. https://doi.org/10.1016/j.ress.2015.03.004
[6] Pavlova, Y. & Reniers, G., A sequential-move game for enhancing safety and security cooperation within chemical clusters. Journal of Hazardous Materials, 186(1), pp. 401–406, 2011. https://doi.org/10.1016/j.jhazmat.2010.11.013
[7] Reniers, G. & Soudan, K., A game-theoretical approach for reciprocal security-related prevention investment decisions. Reliability Engineering & System Safety, 95(1), pp. 1–9, 2010. https://doi.org/10.1016/j.ress.2009.07.001
[8] Suicide bombers in boat attack on Iraq oil terminal, available at https://www.theguardian.com/world/2004/apr/25/iraq2
[9] ISIS launches attacks at Iraq’s largest oil refinery, available at http://english.alarabiya.net/en/News/middle-east/2015/04/12/ISIS-militants-attack-Iraq-s-largest-oil-refinery.html
[10] Kennett, M., Letvin, E., Chipley, M. & Ryan, T., Federal Emergency Management Agency (FEMA), US Department of Homeland Security, United States of America, US Deptartment of veterans affairs and United States of America, risk assessment: a how-to guide to mitigate potential terrorist attacks against buildings. FEMA Risk Management Series, 2005.
[11] Bajpai, S. & Gupta, J.P., Terror-proofing chemical process industries. Process Safety and Environmental Protection, 85(6), pp. 559–565, 2007. https://doi.org/10.1205/psep06046
[12] Site security guidelines for the U.S. chemical industry, 2001, http://www.ohlhausen.com/wp-content/uploads/2013/07/chemical-site-guidelines.pdf
[13] API Recommended Practice 780, Security risk assessment methodology for the petroleum and petrochemical industries, document draft. Washington, DC: American Petroleum Institute, 2012.
[14] API/NPRA, Security vulnerability assessment. Washington, DC: American Petroleum Institute Publishing Services, 2003.
[15] Argenti, F., Landucci, G., Spadoni, G. & Cozzani, V., The assessment of the attractiveness of process facilities to terrorist attacks. Safety Science, 77, pp. 169–181, 2015. https://doi.org/10.1016/j.ssci.2015.02.013
[16] Salzano, E. & Cozzani, V., The analysis of domino accidents triggered by vapor cloud explosions. Reliability Engineering & System Safety, 90(2), pp. 271–284, 2005. https://doi.org/10.1016/j.ress.2004.11.012
[17] Cozzani, V., Gubinelli, G. & Salzano, E., Escalation thresholds in the assessment of domino accidental events. Journal of Hazardous Materials, 129(1), pp. 1–21, 2006. https://doi.org/10.1016/j.jhazmat.2005.08.012
[18] Bounds, W.L., Design of blast resistant buildings in petrochemical facilities. ASCE Publications, Reston, VA, 1997.
[19] Alonso, F.D., Ferradas, E.G., Minarro, M.D., Aznar, A.M., Gimeno, J.R. & Pérez, J.F.S., Consequence analysis by means of characteristic curves to determine the damage to buildings from the detonation of explosive substances as a function of TNT equivalence. Journal of Loss Prevention in the Process Industries, 21(1), pp. 74–81, 2008. https://doi.org/10.1016/j.jlp.2007.08.002
[20] Price, M.A. & Ghee, A.H., Modeling for detonation and energy release from peroxides and non-ideal improvised explosives. Central European Journal of Energetic Materials, 6(3–4), pp. 239–254, 2009.
[21] Cozzani, V., Antonioni, G., Landucci, G., Tugnoli, A., Bonvicini, S. & Spadoni, G., Quantitative assessment of domino and NaTech scenarios in complex industrial areas. Journal of Loss Prevention in the Process Industries, 28, pp. 10–22, 2014. https://doi.org/10.1016/j.jlp.2013.07.009
[22] Cozzani, V., Gubinelli, G., Antonioni, G., Spadoni, G. & Zanelli, S., The assessment of risk caused by domino effect in quantitative area risk analysis. Journal of Hazardous Materials, 127(1), pp. 14–30, 2005. https://doi.org/10.1016/j.jhazmat.2005.07.003
[23] Khakzad, N., Khan, F., Amyotte, P. & Cozzani, V., Domino effect analysis using Bayesian networks. Risk Analysis, 33(2), pp. 292–306, 2013. https://doi.org/10.1111/j.1539-6924.2012.01854.x
[24] Sullivant, J., Building a corporate culture of security: strategies for strengthening organizational resiliency. Butterworth-Heinemann, 2016.
[25] National terrorism advisory system, available at https://www.dhs.gov/national-terrorism-advisory-system