초록 ▼

○ 양식장 환경관리를 위한 모니터링 시스템 개발
- 양식장 환경에 적용가능한 수층 모니터링 시스템 구축
- 형광 센서 값의 보정: 아세톤 추출법을 이용한 엽록소 a 농도와 비교릍 통한 보정
- 광합성 변수 측정용 광학 장비: PhytoFlash (Turner Designs)와 FRRF (Chelsea) 이용
- 우점식물플랑크톤 장기모니터링 기술 시험: 원격 관측을 위한 FlowCAM의 연계 장치의 개발
- 대양에서 활용한 벤틱랜더 기술을 기반으로 양식장 해역에 적합한 장비 제작 및 적용
○ 고밀도 해

○ 양식장 환경관리를 위한 모니터링 시스템 개발
- 양식장 환경에 적용가능한 수층 모니터링 시스템 구축
- 형광 센서 값의 보정: 아세톤 추출법을 이용한 엽록소 a 농도와 비교릍 통한 보정
- 광합성 변수 측정용 광학 장비: PhytoFlash (Turner Designs)와 FRRF (Chelsea) 이용
- 우점식물플랑크톤 장기모니터링 기술 시험: 원격 관측을 위한 FlowCAM의 연계 장치의 개발
- 대양에서 활용한 벤틱랜더 기술을 기반으로 양식장 해역에 적합한 장비 제작 및 적용
○ 고밀도 해양관측자료의 통합 DB 구축
- 본 연구사업 생산 현장관측자료 및 연구해역 내 국내외 기존자료 수집, DB 설계 및 구축
- 자동관측기기 생산자료의 실시간 처리 및 정보서비스 개발
○ 해양생태계 역학모형 개발
- 저서생태역학모형 병행 개발 및 표영생태역학모형과 결합
- 환경모니터링 자료와의 준실시간 비교를 통한 예측시스템 평가 및 개선 체제 구축
○ 인공신경망 자료기반모형 개발
- 자료기반모형 개발을 필요한 관측자료, 위성자료, 모델자료 수집 및 결측자료 보간
- Tensorflow의 LSTM 네트워크를 이용한 클로로필 머신러닝모형 구성
- 수집자료를 이용한 자료기반모형 테스트

(출처 : 초록 5p)

Abstract ▼

Ⅳ. Results
○ Development of water column monitoring technique
- We operated and archived successive time-series data from surface mooring buoy deployed by MOF R&D project. Meteorological data and physical data of surface seawater were obtained in every 10 mins. pCO₂ of marine air an

Ⅳ. Results
○ Development of water column monitoring technique
- We operated and archived successive time-series data from surface mooring buoy deployed by MOF R&D project. Meteorological data and physical data of surface seawater were obtained in every 10 mins. pCO₂ of marine air and surface seawater were measured in 3 hours during 18 months. For the first time, annual sea-air CO₂ flux was estimated by actual observations data around Korean peninsula, and it was 3.62±16.78 mol C m^-2 yr^-1.
- Thermosalinograph system with fluorescense sensor, pump, and flowmeter was developed and tested for operaional surface seawater observation system. Automatic cleaning system with brush was developed for prevent bio-fouling of glass tube in fluoroscence sensor.
- Autosampler was tested from July 6 to August 4, 2017. 230 samples were taken in various time inteval (2, 3 and 6 hours).
- Observation on vertical structure of seawater temperature and salinity were performed periodically (1 hour or 2 hours intervals) at depth of about 7~40 m by Aqualog profiler.
Apart from this, another profiler that be installed and operated in an aquafarm facility was produced and tested. The new profiler designed to use automatic winch was installed in Tongyoung Ocean Science Station and operated in surface ~ 27 m at 1 hour intervals.
○ Development of ecosystem monitoring technique
- Technique to estimate phytoplankton biomass
: During day time, fluorescence obtained by the FLRT sensor attached on CTD showed lower values than in-vivo fluorescence obtained after dark adaptation by Turner 10-AU fluorometer, mainly due to inhibition by ambient light.
: the in-situ measures could be corrected well by applying a calibration equation with PAR as one of variables which was developed in this study
: The in-vivo measurement using the Turner 10-AU fluorometer confirmed that quenching could be excluded through dark adaptation, and the effect of pumping with a diaphragm pump was found to be insignificant.
- Real-time image analysis of dominant phytoplankton
: A device and program for real-time and remote operation of FlowCAM was developed to monitor dominant phytoplankton and the remote acquisition of real time image and the real-time analysis of phytoplankton composition has been successfully conducted.
- Improving primary productivity monitoring technique : Primary production estimated by using FRRf were ca. 1.5 times higher than those estimated by radioisotope method. However, they showed a positive relationship, suggesting that the FRRf technique could be used to monitor changes of primary production in aquaculture area.
○ Development of sediment monitoring technique
- This study suggested that the high TOC contents and sedimentation rates at FF and OF resulted in high rates of benthic respiration and BNFs, which have been shown to be more impacted from the net–cage than has been reported. In addition, SOD was higher in the FFs that discharge more OM than shellfish farms and was influenced by not only the contents of TOC, but also the quality of OM. Consequently, the massive discharge of OM at an aquaculture farm stimulates SOD and BNFs at the body and vicinity of aquaculture farms, which may change the biogeochemical and ecological processes in the coastal ecosystems.
○ Acquisition marine environmental data by satellite data
- Oceanographic data were obtained from 5 types of satellite data, and field studies were carried out in case of red tide, which is a marine environmental problem, and satellite data were analyzed.
- As a result, various satellite-based chlorophyll concentration, suspended particle matter and dissolved organic matter spatial data were obtained, and the red tide patch was extracted from the red tide area.
○ Development of pelagic-benthic coupled ecosystem dynamic model
- We have established a pelagic ecosystem model by combining with ERSEM (European Regional Seas Ecosystem Model), which is developed and managed by UK PML, with GOTM (Generalized Ocean Turbulence Model). Using this model, we reproduced seasonal variability.
- We have developed a vertically one dimensional (1-D) pelagic-benthic coupled ecosystem model with fixed vertical thicknesses of 30 layers in pelagic zone and time-varying 3 layers in benthic zone. We derive the seasonal average from the result of the last 10 years by numerical integration from 1980 to 2016 for sufficient spin-up.
- We improved 1-D pelagic-benthic coupled ecosystem model by comparisons between the model results integrated for 11 years from 2006 to 2016 with observation data of the Naional Institute of Fishery Science near study area.
- Seasonal variability of the aerobic, denitrigying and anaerobic layers of the sediments was simulated by the 1-D pelagic-benthic coupled marine ecosystem model in the Tongyoung aquafarm area. We analyzed the seasonal variability of low trophic level of ecosystem and correlations between parameters.
○ Development of data driven model
- In order to carry out neural network learning using artificial intelligence technology, the existing ocean observation data near the study area were collected as much as possible and we developed the integrated database which includes observation data in this study.
- We carried out a pilot development of a data driven model to simulate chlorophyll using TensorFlow LSTM (Long short term memory) network. Five different tests were performed with different sets of training data. The maximum correlation of the four learing tests was 0.25 to 0.995. No significant results were obtained in the case of lack of data used for traing. On the other hand, if there was enough data for a long time, the learning result showed a correlation coefficient of 0.99 or more. It was confirmed that reliable and sufficient data were the most important factor in the development of the data driven model.

(출처 : SUMMARY 16p)

목차 Contents

• 표지 ... 1
• 제 출 문 ... 3
• 보고서 초록 ... 5
• 요 약 문 ... 7
• S U M M A R Y ... 13
• 목차 ... 21
• CONTENTS ... 23
• 표목차 ... 24
• 그림목차 ... 26
• 제1장 서 론 ... 37
• 제1절 개요 ... 39
• 1. 연구개발 목적 ... 39
• 2. 연구개발의 필요성 ... 39
• 3. 연구개발 범위 ... 41
• 제2장 국내외 기술개발 현황 ... 43
• 제1절 국내 기술, 산업동향 ... 45
• 제2절 국외 기술개발 현황 ... 48
• 제3장 연구개발수행 내용 및 성과 ... 53
• 제1절 수층 모니터링 기술 개발 ... 55
• 1. 표층계류장비 시험 및 현장 적용 ... 55
• 2. 표층시료채집기 시험 및 현장 적용 ... 62
• 3. 표층상시관측 시범자료 생산 ... 65
• 4. 화학해양 인자 표층 시계열 시범자료 생산 ... 68
• 5. 수층 프로파일러 운영 및 자료 생산 ... 71
• 제2절 생태계 모니터링 기술 개발 ... 80
• 1. 식물플랑크톤 생물량 측정 기술 확보 ... 80
• 2. 우점 식물플랑크톤 장기모니터링 기술 시험 운영 ... 87
• 3. 일차생산력 모니터링 기술 개선 ... 95
• 제3절 퇴적물 모니터링 기술 개발 ... 100
• 1. 소형 프레임 설계 및 제작 ... 100
• 2. 광센서 기반 프로파일러 제작 ... 102
• 3. 장비(벤틱랜더) 시험, 수정 보완 및 운영기술 확립 ... 104
• 4. 양식장 유기탄소 수지 추정 ... 114
• 5. 양식장 퇴적물 영양염 플럭스 추정 ... 127
• 제4절 원격 모니터링 자료 획득 ... 137
• 1. 연구해역 해양환경자료 생산 ... 137
• 2. 해양환경문제(적조 등) 발생시 집중관측 ... 148
• 제5절 해양생태계 역학모형 개발 ... 164
• 1. 표영 및 저서 생태계 모형 수립 ... 164
• 2. 연직 1차원 표영-저서 생태계 결합 역학 모형 개발 ... 169
• 제6절 통합 DB 및 자료기반모형 개발 ... 180
• 1. 해양관측자료 통합 DB 구축 ... 180
• 2. 하위생태계 자료기반모형 시범개발 ... 198
• 제4장 연구개발목표 달성도 및 대외 기여도 ... 213
• 제5장 연구개발결과의 활용계획 ... 247
• 제1절 연구결과의 활용방안 ... 249
• 제2절 기대성과 및 파급효과 ... 250
• 제6장 참고문헌 ... 251
• 끝페이지 ... 265