[논문]GIS를 활용한 고속도로 염화수소 가스 누출 시나리오 기반 리스크 평가

김구윤; 이재준; 윤홍식

doi:10.7780/kjrs.2021.37.3.18

GIS를 활용한 고속도로 염화수소 가스 누출 시나리오 기반 리스크 평가
Risk Assessment Based on Highway Hydrogen Chloride Gas Leakage Scenario Using GIS 원문보기

대한원격탐사학회지 = Korean journal of remote sensing, v.37 no.3, 2021년, pp.591 - 601

김구윤 (국립재난안전연구원) , 이재준 (성균관대학교 방재안전공학협동과정) , 윤홍식 (성균관대학교 건설환경공학부)

초록
AI-Helper

국내의 화학 산업이 지속적으로 발전이 이루어짐에 따라 화학물질의 취급량과 운송량은 매년 증가하고 있다. 우리나라 도로 화물운송은 90%이상을 차지하고 있으며, 화학물질 운송도 대부분 도로를 통해 이루어지고 있다. 이러한 화학물질 운송차량들은 사고가 발생하게 되면 대형사고로 이어질 수 있다. 운송차량은 1차 피해인 교통사고뿐만 아니라 2차 피해인 환경 피해 요인들인 수질오염, 토양오염 등을 발생시킬 가능성이 높다. 본 연구는 반포IC와 서초IC 구간을 연구지역으로 설정하여 염화수소 가스 누출에 대한 시나리오를 작성하여, ALOHA 프로그램을 사용하여 예측거리를 측정하고 거리에 따라 염화수소 가스가 도달한 시간을 분석하였다. 또한 GIS를 이용해 시간별로 발생한 피해 영역에 대해서 인구밀도를 이용한 리스크 평가를 수행하였다. 이를 통해 피해 영역에 대해서 예방·대응 방안의 필요성을 제시하였다.

Abstract ▼ AI-Helper

As the domestic chemical industry continues to develop, handling and transportation of chemicals increases every year. Road freight in Korea accounts for more than 90%, and most of the chemical transportation is done through roads. These chemical vehicles can lead to major accidents if accidents occur. Transportation vehicles are likely to cause water pollution and soil pollution, which are factors of environmental damage, as well as traffic accidents that are the primary damage. In this work, we write a scenario for hydrogen chloride gas leakage by setting Banpo IC and Seocho IC sections as research areas, and use the ALOHA program to measure the predicted distance and analyze the time when hydrogen chloride gas reached according to the distance. In addition, risk assessment using population density was carried out for areas of damage caused by time using GIS. This suggests the need for prevention and countermeasures in areas of damage.

주제어

표/그림 (17)

표 Table 1. Factors to consider when selecting worst-case scenarios
표 Table 2. Leakage Rank by Highway Chemical Type
표 Table 3. Atmospheric stability information applied in the ALOHA program
표 Table 4. Input data to apply worst-case scenario to ALOHA program
그림 Fig. 1. Leakage Impact Range with Threat Zone Analysis.
그림 Fig. 2. Results of expressing leakage distance by toxicity criteria using GIS.
표 Table 5. Input data to apply worst-case scenario to ALOHA program
그림 Fig. 3. Time for concentration to reach step-by-step distance.
표 Table 6. Time to reach concentration at toxic level step distance
표 Table 7. Classification for Leak Time
그림 Fig. 4. Population Density Covering Hourly Impact Ranges.
그림 Fig. 5. Damage impact range results by leakage time by grade.
그림 Fig. 6. Conversion of population density to raster.
그림 Fig. 7. Conversion of population density to raster.
표 Table 8. Population Density by Grade
그림 Fig. 8. Risk assessment result for damage impact by time.
표 Table 9. Examples of risk assessment results for 9 minute areas

참고문헌 (24)

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상세보기
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상세보기
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상세보기
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원문보기 상세보기
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상세보기
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