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.
초록·키워드
Water level management in urban water bodies involves balancing ecological conservation with economic activities. Effective management strategies to mitigate the adverse effects of water level fluctuations have been identified as a key task by decision-makers. This study focuses on Lake Ontario, aiming to provide decision support through the construction of a fuzzy comprehensive evaluation model that incorporates the needs and satisfaction of various stakeholders, including shipping companies, residents, and environmental organizations. The evaluation model was applied to assess actual water levels and a simulated control scenario in 2017, yielding the following conclusions: the water level control strategy was effective, with a marked increase in stakeholder satisfaction in most months and a significant reduction in dissatisfaction levels. This research breaks through the limitations of traditional water level management evaluation methods by transforming complex and ambiguous stakeholder demands into specific, actionable evaluation indicators. Managers can use the comprehensive monthly data evaluations to assess the effectiveness of control strategies and make targeted adjustments. This provides a new perspective for managing Lake Ontario and other similar urban water bodies.
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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