한국해양학회지:바다 (The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY)

  • 제28권1호
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  • Pages.51-61
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  • 2023
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  • 1226-2978(pISSN)
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  • 2671-8820(eISSN)
한국해양학회 (The Korean Society of Oceanography)
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압력측정 전도음향측심기(PIES)를 활용한 해양관측의 현재와 전망

Present and Prospect of Ocean Observation Using Pressure-recording Inverted Echo Sounder (PIES)

  • 전찬형 (부산대학교 해양학과 및 해양연구소) ;
  • 이강녕 (인하대학교 해양과학과 ) ;
  • 송하진 (인하대학교 해양과학과 ) ;
  • 채정엽 (인하대학교 해양과학과 ) ;
  • 박재훈 (인하대학교 해양과학과 )
  • CHANHYUNG JEON (Department of Oceanography and Marine Research Institute, Pusan National University) ;
  • KANG-NYEONG LEE (Department of Ocean Sciences, Inha University) ;
  • HAJIN SONG (Department of Ocean Sciences, Inha University) ;
  • JEONG-YEOB CHAE (Department of Ocean Sciences, Inha University) ;
  • JAE-HUN PARK (Department of Ocean Sciences, Inha University)
  • 투고 : 2022.12.14
  • 심사 : 2023.01.31
  • 발행 : 2023.02.28
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⟨ 이전 논문 다음 논문 ⟩

초록

음향은 수중에서 원거리 전파가 가능하여 수심 측량, 수중 물체 탐지, 수중 통신, 유속 측정 등 다방면에서 해양관측에 널리 사용되고 있다. 본 논문에서는 해저면 계류형태의 압력측정 전도음향측심기(Pressure-recording Inverted Echo Sounder, PIES)를 활용하여 관측 가능한 해양물리현상(해류, 중규모 소용돌이, 내부파, 해면고도변화 등)에 대해 서술한다. 이어서 PIES장비 회수 없이 음향을 활용한 원격 자료획득법, 자동 자료전송 팝업 부표(Pop-up Data Shuttle, PDS)를 활용한 최신의 원격 자동자료획득법을 소개하고, 향후 실현 가능한 (준)실시간 원격 자동자료획득법을 덧붙인다.

Sound can travel a long distance in the ocean; hence, acoustic instruments have been widely used for ocean observations in various fields such as bathymetric survey, object detection, underwater communication, and current measurements. Herein we introduce a pressure-recording inverted echo sounder (PIES) which is one of the most powerful instruments, moored at seafloor for ocean observation in physical oceanography. The PIES can measure various kinds of oceanic phenomena (currents, mesoscale eddies, internal waves, and sea surface height variabilities) and support acoustic telemetry and pop-up data shuttle (PDS) system for remote data acquisition. In this paper, we review uses of PIES and describe present and prospective system of PIES including remote data acquisition toward (quasi) real-time data recovery.

키워드

과제정보

이 과제는 부산대학교 기본연구지원사업(2년)에 의하여 연구되었음.

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