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The Research on the Real-time Emergency Response Plan for the Company based on Consequence Analysis for Chemical Accidents

화학사고 발생 시 피해예측 모델과 연계된 사업장의 실시간 비상대응 체계에 관한 연구

  • Jun Ho Ha (Department of Safety Engineering, Pukyong National University) ;
  • Chang Jun Lee (Department of Safety Engineering, Pukyong National University)
  • 하준호 (부경대학교 안전공학과) ;
  • 이창준 (부경대학교 안전공학과)
  • Received : 2023.11.29
  • Accepted : 2024.02.14
  • Published : 2024.04.30

Abstract

The recent surge in the production and handling of hazardous materials in Korea necessitates developing and implementing robust emergency response plans. These plans are crucial in safeguarding the well-being of workers and residents in the event of an incident. The consequence analysis methodology outlined in the KOSHA guidelines provides a foundation for designing emergency response plans in the event of chemical accidents. However, the consequence analysis is evaluated based on assumed accident cases or worst-case scenarios. Consequently, the emergency response plan based on the consequence analysis may overestimate the damage area, complicating rescue efforts and unnecessarily increasing costs. More information and parameters become available after an accident, enabling more accurate consequence analysis. This implies that the results of consequence analysis based on this detailed information provide more realistic results than those based on assumed accidents. This study attempts to optimize the resource allocation and cost-effectiveness of emergency response plans for chemical accidents. Existing procedures and manuals are revised to elucidate the proposed model and conduct real-time consequence analysis. The existing emergency response plan is compared to verify the proposed model's efficacy. The obtained results indicate that the proposed model can exhibit better performance.

Keywords

Acknowledgement

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education (NRF-2020R1F1A1055442).

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