인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study sought to improve the indicators used in coastal disaster risk assessment and evaluate their applicability in order to minimize uncertainty amid the increasing climate crisis. Busan was selected as the testbed. Among the 25 assessment indicators for coastal disaster risk assessment, inundation was assessed using the probability of inundation instead of the inundation area, and changes in coastal disaster risk assessment grades were analyzed. The storm surge coastal inundation prediction maps currently used in coastal disaster risk assessments do not consider various complex inundation factors, such as wave overtopping. To reduce uncertainty, the probability of inundation, which considers all scenarios used in the creation of coastal inundation prediction maps, was applied. The coastal disaster risk assessment grade changed by up to ±1 grade according to which inundation indicator was used. In the coastal areas of Busan, 6.2% showed a decrease of one grade, making the area relatively safer, while 5.8% showed an increase of one grade, making the area relatively riskier, and 88% showed no change in grade. Assessment using the probability of inundation provides a probabilistic assessment of potential inundation, allowing for the assessment of inundation that cannot be assessed using the specific return-period inundation areas . Coastal disaster risk assessment using the probability of inundation shows the potential to minimize uncertainty related to the changes in the coastal disaster environment and the results of climate change-induced inundation, and provides relevant adaptation information for the climate crisis.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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