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
Decompression sickness (DCS) has been a persistent safety concern in diving operations since its recognition among 19th-century caisson workers. This review consolidates the theoretical foundations and historical development of decompression theory, from Dalton’s and Henry’s laws to representative algorithms used in contemporary diving practice. Dissolved-gas models, including Haldane’s tissue-compartment theory, Workman’s M-value framework, Bühlmann ZH-L algorithms, and Thalmann exponential–linear models, along with the gradient factor approach, are reviewed together with bubble-based approaches, including the thermodynamic model, varying permeability model, and reduced gradient bubble model. Their core assumptions, mathematical formulations, and operational implications are examined in a unified framework. A comparison of a 40-m air dive with a 30-min total bottom time showed that total decompression time differed by up to 3.6-fold among algorithms, reflecting differences in model assumptions, conservatism settings, and implementation-specific characteristics rather than any inherent superiority of a particular algorithm. The review further discusses implications for dive planning under dynamic marine conditions and integrated diver and remotely operated vehicle operations. This narrative review provides a consolidated reference for informed algorithm selection and safer dive planning across recreational, technical, commercial, military, and marine salvage and rescue diving contexts.
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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