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Comparison Study for Impact Range of Prediction Models Through Case Study about Gumi Hydrogen Fluoride Accident

구미 불산사고 사례연구를 통한 예측모델 피해영향범위 비교

  • 김진형 ((주)세이프티아 기술연구소) ;
  • 정창모 (광운대학교 화학공학과) ;
  • 강석민 ((주)세이프티아 기술연구소) ;
  • 용종원 ((주)세이프티아 기술연구소) ;
  • 유병태 (환경부 화학물질안전원) ;
  • 서재민 ((주)세이프티아 기술연구소)
  • Received : 2016.08.22
  • Accepted : 2016.12.12
  • Published : 2017.02.01

Abstract

Since the number and the amount of toxic substances handled by domestic companies have been increased, the possibility of serious chemical accidents has become severe. According to Chemistry Safety Clearing-house (CSC), the number of chemical accidents for the last five years has been rapidly raised. A representative example which shows the serious impact of a chemical accident is HF (Hydrogen Fluoride) accident generated in Gumi in 2012. In order to make effective responses for mitigating losses of accidents, the most suitable consequence model has to be selected and implemented throughout the considerations of chemical properties and environments. Even if each consequence model has been verified by the results of experiments, it is necessary to analyze and compare the usability of them according to various scenarios. In this study, the Gumi HF accident is simulated by HGSYSTEM, which is the most specialized model for the release and dispersion of HF. It is found that the ending point of ERPG-2 is about 1 km from the accident point. In order to investigate the usability of the most representative consequence models (ALOHA and CARIS), the results of them are compared with one of HGSYSTEM.

유독물 취급업체수가 증가하고 취급업체들이 다루는 물질의 종류가 다양해지고, 그 양도 증가함에 따라 국내 화학 사업장 사고의 심각성을 보여준 대표적인 사례로 2012년 구미 불산 사고를 들 수 있다. 화학사고 발생 시 화학물질 특성과 주변 환경에 따라 효과적으로 대응책을 마련하기 위해서는 예측모델의 활용이 반드시 필요하다. 현재 존재하는 다양한 예측모델들은 실험을 통해 그 정확도를 검증된 적은 있지만, 예측모델들간의 계산 결과 비교를 통해 어떠한 경우에 어떤 모델이 가장 적합한지에 대한 활용성 부분이 부족한 실정이다. 본 연구에서는 구미 불산 사고를 사례연구로 선정하고 불화수소의 누출과 확산에 가장 정확하다고 알려진 HGSYSTEM을 이용하여 농도를 계산하였다. ERPG-2 기준농도 기준으로 사고 지점으로 부터 1 km 이상 확산됨을 확인하였다. 이 결과를 바탕으로 ALOHA와 CARIS의 결과를 비교하여, 가장 대표적인 예측 모델들의 활용성을 분석하였다.

Keywords

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