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Emergency Evacuation Plan for Hazardous Chemicals Leakage Accidents Using GIS-based Risk Analysis Techniques in South Korea

Author

Listed:
  • Byungtae Yoo

    (Accident Prevention and Assessment Division, National Institute of Chemical Safety, 90 Gajeongbuk-ro, Yuseong-gu, Daejeon 305-343, Korea)

  • Sang D. Choi

    (Department of Occupational & Environmental Safety & Health, University of Wisconsin-Whitewater, Whitewater, WI 53190, USA)

Abstract

Despite improvements in chemical safety management systems, incidents involving the release of hazardous chemicals continue to happen. In some cases, they result in the evacuation of residents. For hazardous chemical release accidents, an evacuation plan needs to be selective enough to consider both the indoor and outdoor concentrations of nearby buildings and the time in which the maximum allowable concentration may occur. In this study, a real-time risk analysis tool was developed based on the geographic information system (GIS) in order to establish the emergency response and risk communication plan for effectively assisting decision-making personnel. A selective evacuation plan was also established by a proposed assessment module considering the indoor/outdoor pollution concentration of buildings and the release duration time of chlorine gas leakage. The GIS-based simulated modules were performed based on eleven buildings of Ulsan city, located near an industrial cluster and home to a high population density. As a result of the simulated real-time risk assessment, only four buildings were affected by chlorine gas concentration according to wind direction and diffusion time. In addition, it was considered effective to establish an indoor/outdoor evacuation plan as opposed to an outdoor evacuation plan which is outside the range of the damage. Subsequently, an emergency evacuation plan was established with the concentration of a hazardous chemical according to the decision-making matrix. This study can enlighten the real-time emergency risk assessment based on GIS while effectively supporting the emergency action plans in response to the release of hazardous chemicals in clustered plants and the community.

Suggested Citation

  • Byungtae Yoo & Sang D. Choi, 2019. "Emergency Evacuation Plan for Hazardous Chemicals Leakage Accidents Using GIS-based Risk Analysis Techniques in South Korea," IJERPH, MDPI, vol. 16(11), pages 1-14, June.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:11:p:1948-:d:236342
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    References listed on IDEAS

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    1. Myung, Young-Soo & Kim, Hyun-joon, 2004. "A cutting plane algorithm for computing k-edge survivability of a network," European Journal of Operational Research, Elsevier, vol. 156(3), pages 579-589, August.
    2. Stepanov, Alexander & Smith, James MacGregor, 2009. "Multi-objective evacuation routing in transportation networks," European Journal of Operational Research, Elsevier, vol. 198(2), pages 435-446, October.
    3. Hyo Eun Lee & Jong-Ryeul Sohn & Sang-Hoon Byeon & Seok J. Yoon & Kyong Whan Moon, 2018. "Alternative Risk Assessment for Dangerous Chemicals in South Korea Regulation: Comparing Three Modeling Programs," IJERPH, MDPI, vol. 15(8), pages 1-12, July.
    4. Reniers, Genserik & Soudan, Karel, 2010. "A game-theoretical approach for reciprocal security-related prevention investment decisions," Reliability Engineering and System Safety, Elsevier, vol. 95(1), pages 1-9.
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    Cited by:

    1. He, Zhichao & Shen, Kaixin & Lan, Meng & Weng, Wenguo, 2024. "An evacuation path planning method for multi-hazard accidents in chemical industries based on risk perception," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    2. Khakzad, Nima, 2023. "A methodology based on Dijkstra's algorithm and mathematical programming for optimal evacuation in process plants in the event of major tank fires," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    3. Jieyin Lyu & Shouqin Zhou & Jingang Liu & Bingchun Jiang, 2023. "Intelligent-Technology-Empowered Active Emergency Command Strategy for Urban Hazardous Chemical Disaster Management," Sustainability, MDPI, vol. 15(19), pages 1-28, September.
    4. Zhen-Song Chen & Min Li & Wen-Tao Kong & Kwai-Sang Chin, 2019. "Evaluation and Selection of HazMat Transportation Alternatives: A PHFLTS- and TOPSIS-Integrated Multi-Perspective Approach," IJERPH, MDPI, vol. 16(21), pages 1-33, October.
    5. He, Zhichao & Shen, Kaixin & Lan, Meng & Weng, Wenguo, 2024. "The effects of dynamic multi-hazard risk assessment on evacuation strategies in chemical accidents," Reliability Engineering and System Safety, Elsevier, vol. 246(C).

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