동해에서 식물플랑크톤 군집 분포 분석을 위한 GOCI 활용 연구 = A Study on the Application of GOCI to Analyzing Phytoplankton Community Distribution in the East Sea

국문 초록 (Abstract)

식물성플랑크톤은 영양염, 광합성, 탄소순환 등의 측면에서 해양의 생태계를 제어하는데, 해양 환경에 미치는 영향의 정도는 식물성플랑크톤의 크기에 좌우된다. 원격탐사 기술을 기반으로 해양의 식물성플랑크톤 크기 별 생체량을 식별하려는 많은 연구가 있었으며, 그 중 가장 성공적인 접근법 중 하나는 식물성플랑크톤의 크기를 세 등급(micro-plankton;> 20 μm, nano-; 2-20 μm 및 pico-; <2 μm)으로 구분하여 각 그룹별 엽록소 농도를 추정하는 삼성분 모델(three-component model)이다. 이 연구에서는 동해에서 식물성플랑크톤의 크기 별 생체량 분포를 추정하기 위한 GOCI 자료의 활용 가능성에 대해 검토하였다. 각 크기 별 엽록소 농도(CHL)를 도출하기 위해, 연구지역에서 수 년 동안 수집된 식물성플랑크톤 색소자료를 기반으로 회귀분석을 통해 삼성분 모델의 계수를 산출하였다. 새롭게 산출된 삼성분 모델을 시간 별 GOCI 기반 엽록소 농도 이미지에 적용하여, 전체 엽록소 농도 중 각 식물성플랑크톤 크기 별 생체량이 차지하는 비율을 산출하였다. 또한, 이 결과를 이용하여 동해에서 2013년 여름 대규모 적조가 발생한 시기의 크기 별 엽록소-a 농도 분포를 분석하였다.

다국어 초록 (Multilingual Abstract)

Phytoplankton controls marine ecosystems in terms of nutrients, photosynthetic rate, carbon cycle, etc. and the degree of its influence on the marine environment depends on their physical size. Many studies have been attempted to identify marine phytoplankton size classes using the remote sensing techniques. One of successful approach was the three-component model which estimates the chlorophyll concentrations of three phytoplankton size classes (micro-phytoplankton; >20 μm, nano-; 2-20 μm and pico-; <2 μm) as a function of total chlorophyll. Here, we examined the applicability of Geostationary Ocean Colour Imager (GOCI) to the mapping of the phytoplankton size class distribution in the East Sea. A fit of the three-component model to a biomarker pigment dataset collected in the study area for some years including a large harmful algal bloom period has been carried out to derive size-fractioned chlorophyll concentration (CHL). The tuned three-component model was applied to the hourly GOCI images to identify the fractions of each phytoplankton size class for the entire CHL. Then, we investigated the distribution of phytoplankton community in terms of the size structure in the East Sea during the harmful Cochlodinium polykrikoides blooms in the summer of 2013.

참고문헌 (Reference)

• 1 손영백, "천리안 해색위성 GOCI를 이용한 대한민국 남해안 적조 모니터링" 대한원격탐사학회 28 (28): 531-548, 2012
• 2 윤석, "위성자료를 이용한 동해안 냉수대의 시공간적 변화 분석 연구" 대한원격탐사학회 32 (32): 703-719, 2016
• 3 Ahn, J. H., "Vicarious calibration of the Geostationary Ocean Color Imager" 23 : 23236-23258, 2015
• 4 Uitz, J., "Vertical distribution of phytoplankton communities in open ocean: An assessment based on surface chlorophyll" 111 (111): C08005.1-C08005.24, 2006
• 5 Hirata, T., "Synoptic relationships between surface Chlorophyll-a and diagnostic pigments specific to phytoplankton functional types" 8 : 311-327, 2011
• 6 Bricaud, A., "Spatialtemporal variations in phytoplankton size and colored detrital matter absorption at global and regional scales, as derived from twelve years of SeaWiFS data(1998-2009)" 26 (26): 1-17, 2012
• 7 박경애, "Spatial Scales of Mesoscale Eddies from GOCI Chlorophyll-a Concentration Images in the East/Japan Sea" 한국해양과학기술원 47 (47): 347-358, 2012
• 8 Ahn, J. H., "Simple aerosol correction technique based on the spectral relationships of the aerosol multiplescattering reflectances for atmospheric correction over the oceans" 24 : 29660-29670, 2016
• 9 Sathyendranath, S., "Remote sensing of phytoplankton pigments : a comparison of empirical and theoretical approaches" 22 : 249-273, 2001
• 10 Noh, J. H., "Remote quantification of Cochlodinium polykrikoides blooms occurring in the East Sea using geostationary ocean color imager(GOCI)" 73 : 129-137, 2018
• 11 Vidussi, F., "Phytoplankton pigment distribution in relation to upper thermocline circulation in the eastern Mediterranean Sea during winter" 106 : 19939-19956, 2001
• 12 Aiken, J., "Phytoplankton functional types from Space" International Ocean-Colour Coordinating Group 156-, 2014
• 13 Kim, D. W., "Physical processes leading to the development of an anomalously large Cochlodinium polykrikoides bloom in the East sea/Japan sea" 55 : 250-258, 2016
• 14 Sun, X. R., "In Situ and Satellite Observations of Phytoplankton Size Classes in the Entire Continental Shelf Sea, China" 123 : 3523-3544, 2018
• 15 Choi, J. K., "Harmful algal bloom (HAB) in the East Sea identified by the Geostationary Ocean Color Imager (GOCI)" 39 : 295-302, 2014
• 16 Choi, J. -K., "GOCI, the world’s first geostationary ocean color observation satellite, for the monitoring of temporal variability in coastal water turbidity" 117 (117): 1-10, 2012
• 17 Kim, Y. S., "Diurnal vertical migration of Cochlodinium polykrikoides during the red tide in Korean coastal sea waters" 31 : 687-693, 2010
• 18 Lou, X., "Diurnal changes of a harmful algal bloom in the East China Sea : Observations from GOCI" 140 : 562-572, 2014
• 19 Lee, D. K., "Cochlodinium polykrikoides blooms and eco-physical conditions in the South Sea of Korea" 7 : 318-323, 2008
• 20 Ruddick, K., "Challenges and opportunities for geostationary ocean colour remote sensing of regional seas : A review of recent results" 146 : 63-76, 2014
• 21 Hu, C., "Atmospheric correction of SeaWiFS imagery over turbid coastal waters : A practical method" 75 : 447-447, 2001
• 22 Ciotti, A. M., "Assessment of the relationships between dominant cell size in natural phytoplankton communities and the spectral shape of the absorption coefficient" 47 : 404-417, 2002
• 23 Choi, J. K., "Application of the Geostationary Ocean Color Imager(GOCI)to mapping the temporal dynamics of coastal water turbidity" 146 : 24-35, 2014
• 24 Yang, H., "Application of the Geostationary Ocean Color Imager(GOCI)to estimates of ocean surface currents" 119 : 3988-4000, 2014
• 25 Hirata, T., "An absorption model to determine phytoplankton size classes from satellite ocean colour" 112 : 3153-3159, 2008
• 26 YoungShilKang, "An Unusual Coastal Environment and Cochlodinium polykrikoides Blooms in 1995 in the South Sea of Korea" 한국해양과학기술원 37 (37): 212-223, 2002
• 27 Devred, E., "A two-component model of phytoplankton absorption in the open ocean : Theory and applications" 111 (111): 1-11, 2006
• 28 Brewin, R. J. W., "A spectral response approach for detecting dominant phytoplankton size class from satellite remote sensing" 29 : 14-32, 2010