인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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.
학술저널
DBpia Top 10%
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
Global temperature increases due to climate change are intensifying heat-related impacts, particularly in densely populated urban areas. Seoul, Korea, has experienced steady increases in summer temperatures since the 1950s, with more than 30 days of extreme heat recorded in 2018. In response to these challenges, green infrastructure (GI) strategies are increasingly recognized as effective long-term adaptations capable of mitigating urban heat through shading, evapotranspiration, and enhanced surface albedo. While GI’s potential for reducing temperatures is well-documented, most prior research has focused on spatial optimization, overlooking the importance of timing and associated maintenance costs. In this study, we address these gaps by optimizing both the spatial and temporal implementation of GI technologies, such as street trees, green roofs, and greenways, for the period from 2030 to 2050. Using RCP 4.5 climate projections and the Non-dominated Sorting Genetic Algorithm II (NSGA-II), we consider the effects of rising temperatures and the financial costs of GI installation and upkeep. Our findings suggest that establishment of GI areas greater than 49% of the total considered area by 2040 will allow the greatest temperature reduction, particularly through the early introduction of street trees. The rate of GI increase in the later period (2040 ~ 2050) depends on scenario, with variation in the effectiveness of specific technologies. This research provides crucial insights for efficient resource allocation in urban climate adaptation by integrating spatial and temporal factors. We emphasize the importance of early GI investment and offer a robust framework for decision-makers to plan long-term, cost-effective strategies that address the escalating challenges of urban heat.
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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UCI(KEPA) : I410-151-25-02-092199686