인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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.
피인용 0
초록·키워드
Systematic climate risk assessment and adaptation information management are increasingly emphasized in response to the climate crisis, yet Korea lacks a standardized framework for evaluating nationally designated climate risks. This study advances the methodology for identifying key risks within the Korea Adaptation Information Taxonomy (KADT) by incorporating quantitative evidence into the traditionally qualitative, expert-driven process. A scoring system was established by quantifying the occurrence trends of climate impact factors through slope analysis of time-series data and by evaluating the magnitude of risk impacts using disaster-related damage costs. Based on this approach, the top 30% of risks within each sector were selected as candidate key risks. For these risks, impact chains were constructed, and indicators categorized into hazard, exposure, and vulnerability were systematically listed and prioritized according to interpretability and data availability. The proposed methodology provides a structured basis for linking indicators with key risks, enhances the objectivity and reliability of climate risk assessment, and offers practical criteria for evaluating indicator applicability while identifying gaps in climate-related data. By supporting the development of a national climate adaptation information platform, this study contributes to strengthening the evidence base and enabling the effective and evidence-based implementation of Korea’s climate crisis adaptation policies.
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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