Information Construction for Predicting Accident Risks in Vulnerable Facilities in Prevention of Chemical Terrorism and Accidents (화학테러⋅사고 예방을 위한 취약시설 사고예측 정보구축)

Hee Jang (장희); Chang-Bock Chung (정창복); Ga Young Jung (정가영); Ha Eun Go (고하은); Min Su Kim (김민수)

doi:10.14251/crisisonomy.2019.15.12.129

Information Construction for Predicting Accident Risks in Vulnerable Facilities in Prevention of Chemical Terrorism and Accidents

Crisisonomy
Abbr : KRCEM
2019, 15(12), pp.129-139
DOI : 10.14251/crisisonomy.2019.15.12.129
Publisher : Crisis and Emergency Management: Theory and Praxis
Research Area : Social Science > Public Policy > Public Policy in general
Received : October 17, 2019
Accepted : November 25, 2019
Published : December 31, 2019

Hee Jang ¹, Chang-Bock Chung ², Ga Young Jung ¹, Ha Eun Go ², Min Su Kim ³

¹전남대학교 화학공학부
²전남대학교
³화학물질안전원

Accredited

ABSTRACT

Despite changes in public perception and continuous revision of laws related to chemical accidents, chemical accidents are continually occurring and the damage scale is not decreasing. In order to effectively cope with chemical accidents, it is required to strengthen the response system for chemical accidents, which quickly obtains information on chemical processes and responds accordingly. The purpose of this study is to develop safety information cards which describe the chemical processes of major hazardous chemicals. A total of nine substances were selected based on the accident history in South Korea. In addition, the accident risk factors and related information for 51 chemical processes and facilities were determined. By reconstructing and summarizing the results, we then produced the “chemical accident response card” for each chemical process containing key process information, preventive measures, and response methods. These cards can serve as useful materials for business sites dealing with hazardous materials and emergency agency staff.

KEYWORDS

chemical accident, provision system, response system, chemical process, chemical accident response card

Citation status

* References for papers published after 2023 are currently being built.

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KJCKorea
Journal Central

Crisisonomy 2023 KCI Impact Factor : 0.64

Information Construction for Predicting Accident Risks in Vulnerable Facilities in Prevention of Chemical Terrorism and Accidents

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Crisisonomy 2023 KCI Impact Factor : 0.64

Information Construction for Predicting Accident Risks in Vulnerable Facilities in Prevention of Chemical Terrorism and Accidents

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.