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
The recent global climate crisis, including on the Korean Peninsula, is worsening every year, seriously affecting all sectors, including human beings, ecosystems, agriculture, livestock, marine, and fisheries. To reduce vulnerability to the climate crisis and enhance adaptive capacity and resilience to natural disaster damage, national and local governments are establishing adaptation measures every five years. While VESTAP is utilized for regional vulnerability assessments, it has limitations as the relative nature of its results makes them difficult to use and compare across assessment items; however, some prior studies have proposed a grading system to reduce the complexity of assessment indicators. The purpose of this study is to propose a method for grding VESTAP’s relative vulnerability assessment results and to analyze the correlation between graded outcomes and its component indices (climate exposure, sensitivity and adaptive capacity), thereby formulation of regional adaptation measures for climate crisis. The study compared a total of three grading methods: equal-interval grading, utilizing Natural Breaks (Jenks), and utilizing the Quantile method. The correlation analysis showed that the equal-interval grading method yielded statistically significant results. The other methods also produced meaningful results, suggesting areas for future improvements to VESTAP. It is expected that local governments can utilize the results of this study to propose a method of converting VESTAP's relative vulnerability assessments into an equal-interval graded system, which can serve as foundational data for understanding the actual degree of regional vulnerability.
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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