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
In response to rising heat waves and the urban heat island effect, there"s a need to enhance cooler air circulation from green and water spaces in urban areas. To address thermal issues, understanding the diffusion of cold air in urban water spaces and its impact on wind speed and temperature by building cluster type is crucial. This study assesses cold air diffusion in the Hangang River during a heatwave and conducts a comparative analysis of temperature and wind speed changes by building cluster type. Findings show that overpasses and apartment buildings create wind pathways, reducing water space temperatures. However, outside water spaces, temperatures rise while wind speeds decrease. This study quantifies the cooling effect up to 1,000 meters from urban water spaces, ranging from 0.05% to 1.12%. Further analysis revealed that topographic changes contribute to 84% of total temperature change, while building-related changes contribute 16%. Topographic changes tended to decrease wind speed, while building-related changes increased it. A comparative analysis of temperature and wind speed impacts along the Hangang River in urban areas shows low-rise residential areas have the highest temperatures compared to high-rise residential and commercial areas. Conversely, high-rise residential areas exhibited the highest wind speeds, followed by low-rise residential and commercial areas. This study"s significance lies in using ENVI-met simulation and ArcGIS to precisely quantify cold air dispersion in urban water spaces and conduct comparative analyses of temperature and wind speed variations across different building cluster types due to cold air diffusion.
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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