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
Photogrammetric scanning is a technique used to create 3D models by capturing the dimensions and textures of objects or areas. This study applies photogrammetry to scan a fish pass, focusing on capturing the channel's micro-relief at optimal resolution. A drone was used for measurements, supplemented by terrestrial images to generate a dense point cloud. The point cloud was processed for various applications, including hydraulic flow modeling. In HEC-RAS simulation software, the point cloud, as a raster file, serves as the terrain base for defining the channel's geometry. The raster resolution directly affects the quality and precision of the model's geometry. The study explores how geometry settings, such as the number of defined cross-sections and terrain detail, influence flow simulations in fish passes. Special attention is given to perturbation boulders, which affect flow dynamics and help meet the required parameters for different fish pass types and target fish species. By analyzing the interaction of geometric inputs, an understanding of their effectiveness in accurately representing the river bed and their impact on the results of simulated water levels was sought. This research provides insights into effective flow modeling based on data from photogrammetric scanning, contributing to the design and monitoring of fish passes.
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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