The Journal of the Petrological Society of Korea (암석학회지)

The Petrological Society of Korea (한국암석학회)
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The History of Volcanic Hazard Map

화산위험지도의 역사

  • Yun, Sung-Hyo (Department of Earth Science Education, Pusan National University) ;
  • Chang, Cheolwoo (Department of Earth Science, Pusan National University) ;
  • Ewert, John W. (Cascades Volcano Observatory, USGS)
  • 윤성효 (부산대학교 지구과학교육과) ;
  • 장철우 (부산대학교 대학원 지구과학과) ;
  • Received : 2018.03.23
  • Accepted : 2018.03.28
  • Published : 2018.03.31
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Abstract

Volcano hazard mapping became a focus of scientific inquiry in the 1960s. Dwight Crandell and Don Mullineaux pioneered the geologic history approach with the concept of the past is the key to the future, to hazard mapping. The 1978 publication of the Mount St. Helens hazards assessment and forecast of an eruption in the near future, followed by the large eruption in 1980 demonstrated the utility of volcano hazards assessments and triggered huge growth in this area of volcano science. Numerical models of hazardous processes began to be developed and used for identifying hazardous areas in 1980s and have proliferated since the late 1990s. Model outputs are most useful and accurate when they are constrained by geological knowledge of the volcano. Volcanic Hazard maps can be broadly categorized into those that portray long-term unconditional volcanic hazards-maps showing all areas with some degree of hazard and those that are developed during an unrest or eruption crisis and take into account current monitoring, observation, and forecast information.

화산위험지도 작성은 1960년대 과학 탐구의 초점이 되었다. Dwight Crandell과 Don Mullineau는 '과거는 미래의 열쇠이다'라는 관점으로 재해위험 매핑에 대한 지질학적 접근 방법을 개척했다. 세인트 헬렌즈산의 위험도 평가와 가까운 미래의 분출 예측에 대한 1978년 발간물, 그리고 1980년 대규모 분화로 화산위험 평가의 유용성이 입증되었고 화산 과학의 이 영역에서 거대한 성장이 시작되었다. 1980년대의 위험한 지역을 식별하기 위해 위험지역 이해 프로세스의 수치 모델을 개발하고 사용하기 시작했으며, 1990년대 후반부터 확산되었다. 수치모의 모델 산출물은 화산의 지질학적 지식에 의해 강조될 때 가장 유용하고 정확하다. 화산위험지도는 장기간의 무조건적인 화산 재해 위험을 묘사하는지, 어느 정도의 위험을 가진 모든 지역을 보여주는지, 화산이 불안정 또는 분화 위기 시에 개발되어 현재의 감시, 관찰 및 예보 정보를 고려한 지도로 크게 분류할 수 있다.

Keywords

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