• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.280-284
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• 2003

국내에서는 매년 연안에서 발생하는 적조에 의해 많은 수산자원의 피해를 입고 있다. 이를 방재하기 위해 다양한 기술이 연구 개발되고 있으며, 원격탐사기법의 활용이 연구되어 왔다. 그러나 위성자료에 의한 연안해역에서의 적조관측은 시-공간적인 범위에서 많은 제약을 받고 있으며, 이로 인해 위성자료의 분석을 위한 적조 알고리듬은 국내외적으로 제시된 바가 매우 미약하다. 본 연구에서는 다양한 위성자료에 의해 관측된 적조의 패취를 구분하고 이를 정성적으로 분류해내기 위한 적조 알고리듬을 비교하였다. 특히 시-공간해상력에서 많은 차이를 가지고 있는 Landsat TM, AVHRR, SeaWiFS의 위성자료를 비교하여 관측주기가 다르고 분광해상력에서 차이를 나타내는 이들 위성자료를 이용한 적조 관측 알고리듬의 활용 가능성을 비교하였다. 분석된 결과를 바탕으로 국내연안에서 발생한 적조의 공간적 분포를 구분화하고 이를 현장관측 자료와 비교하여 분석결과의 정확도를 평가하였다.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2000.05a
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• pp.400-401
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• 2000

국내에서 적조연구는 국립수산진흥원에서 남해를 비롯 우리나라 연안의 모니터링과 한양대학교 연구팀의 마산만에 관한 연구가 초기부터 활발하게 이루어졌다. 적조 연구는 주로 적조원인 플랑크톤의 발생규모, 계절적 변동과 그 때 수질환경을 조사하였고 대체로 군집 수준에서 다루어졌다 (박과 김, 1967; 유와 이, 1976; Yoo and Lee, 1979; 박, 1982). 우리나라의 적조 연구는 주로 마산-진해만애서 이루어져 왔다. 마산만과 진해만을 비롯 행암만, 덕동만, 진동만, 칠천수로 등이 그 대상지가 되었으며 이 지역에서는 그동안 상당한 자료가 축적되어 왔다. 하지만 본 연구 대상지역인 광양만에서 적조연구에 관한 자료가 미흡하여 본 연구는 기존의 적조생물의 군집 수준의 연구와 유사하다. 개체군의 변동을 파악하는데 중점을 두었고 광양제철소를 중심으로 하여 남해 일대에 걸쳐 모니터링을 하고 수환경의 특성과 개체군 변동을 동시에 조사함으로서 제철소 건립 후 광양만에서 적조 발생의 최근적조 양상을 분석하였다. (중략)

• Spatial Information Research
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• v.13 no.3 s.34
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• pp.253-260
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• 2005

The aim of this study is to analyze the temporal and spatial distribution aspects of red tide using GIS techniques. The damage caused by red tide appears various aspects according to the species, concentration and spatial distribution of red tide plankton. Therefore, in order to prevent the damage of red tide it is important to understand the distribution characteristics of red tide by each species according to time and space. In this perspective, we analyzed the beginning outbreak area, spatial occurrence frequency and spatial migration of red tide. The spatial data used by this study was constructed by digitizing the red tide quick report and coupled with various attributes such as species, concentration and water temperature for construction of red tide database. We used various spatial analysis methods such as union, intersect, tracking, buffer and spatial interpolation for analyzing temporal and spatial characteristics of red tide. From the result of these spatial analyses, we could get the spatial information on the temporal and spatial distribution characteristics of red tide at the Southern Sea.

• 어항어장
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• s.57
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• pp.35-42
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• 2001

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.19 no.2
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• pp.125-135
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• 2001

The research on Harmful Algal Blooms is generally in progress through field work, such as the naked eye and sampling. It was difficult to forecast exactly the course, from appearance of red tide to disappearance, with the established ways of investigation and analysis. Accordingly it is need to analyze environmental factors in time and space, the appearance of red tide and the path of its migration by more objective and scientific methods. In this study the remote sensing was used to diminish damage from the occurrence of red tide. Such as a temperature change of sea water and a change of tidal currents, the major cause for red tide. The probed data were utilized. The technique for forecast of red tide phenomenon on the south coast was researched by analyzing the cause of red tide, pollutant flowed from landand the possibility of application of the technique was showed.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.35 no.6
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• pp.568-577
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• 2002

The spreading Cocuoainim polykikoides bloom in the southern coastal waters of Korea was simulated using numerical model including the physical processes of water flow and the chemical processes of increasing cell of C. polykikoides by uptake of dissolved nutrients. The circulation of sea water was simulated by two dimensional tide model reflecting the main four tidal components of $M_2,\;S_2,\;K_1,\;O_1$, and permanent current was driven by inflow/outflow across open boundaries. According to the result of model which tidal and permanent current were reflected simultaneously, eastward flows entering the southern waters from the western waters of Korea are dominant but westward flows are weak relatively. These result suggest that it is difficult for initial C. polykikoides bloom generated in the coastal waters of Goheung to move to the western coast of Korea through Jeju Strait. For spreading model of C. poiyhikoides, the range of generating distribution and the generating time of C. polykikoides bloom in coastal area are similar to those of observation data in the field. Wind is the most important factor in moving and distribution of red tide. Permanent current flowing eastward is also considered to be important factor and tidal current was a little influenced.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.3
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• pp.129-136
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• 2014

This study deals with red tide detection by using the remote sensing imagery from the Geostationary Ocean Color Imager (GOCI), the world's first geostationary orbit satellite, around the southern coast of Korea where the most severe red tide occurred recently. The red tide zone was determined by the available data selection from the GOCI imagery during the period of red tide occurrence and also the severe red tide zone was detected through the spatial analysis by temporal change out of the red tide zone. This study results showed that the coast in the vicinity of the Hansan and Yokji in Tongyeong-si was classified into the severe red tide zone, and that the red tide was likely to spread from the coast of Hansan and Yokji to the one of Sanyang-eub. In addition, the comparative analysis between the area of red tide occurrence, the prevention activities of Gyeongsangnam-do provincial government and the amount of the damage cost over time showed close correlation among them. It is still early to conclude that the study is showing the severe red tide zone and the spread path exactly due to various factors for red tide occurrence and activities. In order to improve the reliability of the results, the more data analysis is required.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1161-1170
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• 2019

In this study, we propose a model for predicting Cochlodinium polykrikoides red tide occurrence using deep neural networks. A deep neural network with eight hidden layers was constructed to predict red tide occurrence. The 59 marine and meteorological factors were extracted and used for neural network model training using satellite reanalysis data and meteorological model data. The red tide occurred in the entire dataset is very small compared to the case of no red tide, resulting in an unbalanced data problem. In this study, we applied over sampling with adding noise based data augmentation to solve this problem. As a result of evaluating the accuracy of the model using test data, the accuracy was about 97%.

• Journal of Navigation and Port Research
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• v.31 no.3 s.119
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• pp.263-269
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• 2007

The outbreaks of red tide were sporadic in the South Sea until 1994, but have become frequent and widespread in whole coastal waters of the South Sea and East Sea since 1995 For monitoring of red tide, many kinds of techniques such as remote sensing, GIS and fuzzy model system have been developed and applied. The purpose of this paper is to develop red tide monitoring system for collection of red tide data and biological-oceanography parameters using wireless sensor network. The wireless sensor network has been noticed as a core technology in order to realize ubiquitous computing. In this paper, we design red tide database using wireless sensor network and suggest red tide monitoring software and web-service for user and biological-oceanographer.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.34 no.6
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• pp.691-696
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• 2001

The first bloom of Cochlodinium polykrikoides was observed in the estuary of Nak-dong river near Pusan in Korea in 1982. Since then, there have been irregular blooms, sometimes spread over the adjoining .to Jinhae Bay even though it was confined to the bay and its vicinites until 1988. It had been outbroken frequently in the adjacent to Tongyeong, Geoje, Namhae and Yeosu coast since 1989. It became widespread along the coast of the South Sea to the East Sea of Korea in 1995. And in October in 1998 and 1999, the bloom had been taken place in Kunsan coast of Yellow Sea. According to the observations in situ, the frequency of occurrence has been increased year by year. The prevailing bloom season was from July to October with peak in September. The duration of the bloom became longer with the year, and sometimes lasted more than one month. The density of the bloom did not exceed 5,000 cells $mL^{-1}$until 1991, but it increased year by year to the highest of 43,000 cells $mL^{-1}$ in 1999. With respect to the assembleges of species in dinoflagellate blooms, C. polykrikoides was one of the important species with diatoms and the other dinoflagellates in 1980s. But since then, C. polykrikoides made an almost monospecific bloom. Based on two decadal observations of C. polykrikoides blooms, it became widespread throughout whole coast of the Korea, persistent for about one or two month long in some year, and monospecisc high density blooms. It was reported that significant fish mortalities were caused by this harmful dinoflagellate blooms especially in the fishfarms accomodating intensive fish cages such as Tongyeong, Namhae-do, Geoje, Yeosu and Geomun-do fishfarming yards. This widespread and persistent harmful algal blooms impede the development of marine aquaculture industries.