• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2001.10a
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• pp.202-203
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• 2001

거의 매년 우리나라 연안해역에서 푸른 바닷물이 갑자기 붉은색이나 황록색으로 변하는 적조 현상을 쉽게 관찰할 수 있다. 특히, 부영양화된 폐쇄성 및 반폐쇄성 내만 해역에서부터 해수유동이 원활한 외해역까지 광범위하게 매년 상습적으로 적조가 발생하여 어장환경과 수산생물에 막대한 피해를 일으키므로서 심각한사회ㆍ경제적인 문제를 야기시키고 있다(남해안 피조발생현황, 1995, 1996.; 한국연안의 적조발생 상황, 1997, 1998, 1999, 2000). (중략)

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.5
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• pp.39-45
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• 2011

There have been many studies on red tide because of increasing of damage to sea farming by a red tide blooms of harmful algae. The studies of red tide have mostly focused chemical properties and investigation of biological cause. If we can predict the occurrence of red tide, we will be able to minimize the damage of red tide. However, internal study of prediction of red tide blooms is only classification method that is still insufficient for red tide blooms forecast. In this paper, we proposed the red tide blooms prediction method using neural network and SVM.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.12B
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• pp.1219-1226
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• 2010

It is necessary to implementation of system contain intelligent decision making algorithm because discriminant and prediction system for Red Tide is insufficient development and the study of red tide are focused for the investigation of chemical and biological causing. In this paper, we designed inference system using case based reasoning method and implemented knowledge base that case for Red Tide. We used K-Nearest Neighbor algorithm for recommend best similar case and input 375 EA by case for Red Tide case base. As a result, conducted 10-fold cross verification for minimal impact from learning data and acquired confidence, we obtained about 84.2% average accuracy for Red Tide case and the best performance results in case by number of similarity classification k is 5. And, we implemented Red Tide monitoring system using inference result.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.11B
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• pp.1339-1345
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• 2011

Red tide is a natural phenomenon that change sea color by harmful algal blooms. There have been many studies on red tide due to increasing of red tide damage. However, to automatically classify the red tide algae is not enough. Recognition of red tide algae is difficult because they do not have matching center features for recognizing algae image object. Previously studies are used a few type of red tide algae for classification. In this paper, we proposed the red tide algae recognition method using PCA and roundness of image objects.

• Korean Journal of Environmental Biology
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• v.17 no.3
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• pp.217-232
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• 1999

The author made a special review on/red-tides from the following points: definition, terms, yearly progress of researches, causative organisms, searching the causes, toxins, a loss of lives, damages of aquatic products, reducing aquacultural damages and removal efficiency. Red-tides in Korea were caused by diatoms in the early 1960’s, in the end of 1970’s it was caused by non-toxic dinoflagellates when marine pollutions were growing more and more serious. In the end of 1980’s, red-tides were caused by toxic dinoflagellates. Red-tide was only found in selected areas at first, but recently large-scaled red-tides are frequently found in the southern coastal waters of Korea, causing huge losses of marine life. A plan is greatly needed to reduce the damaging red-tides, and removal systems need to be developed.

• The KIPS Transactions:PartB
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• v.14B no.2
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• pp.65-70
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• 2007

Red tide is becoming hot issue of environmental problem worldwide since the 1990. Advanced nations, are progressing study that detect red tide area on early time using satellite for sea. But, our country most seashores bends serious. Also because there are a lot of turbid method streams on coast, hard to detect small red tide area by satellite for sea that is low resolution. Also, method by sea color that use one feature of satellite image for sea of existent red tide area detection was most. In this way, have a few feature in image with sea color and it can cause false negative mistake that detect red tide area. Therefore, in this paper, acquired texture information to use GLCM(Gray Level Co occurrence Matrix)'s texture 6 information about high definition land satellite south Coast image. Removed needless component reducing dimension through principal component analysis from this information. And changed into 2 principal component accumulation images, Experiment result 2 principal component conversion accumulation image's eigenvalues were 94.6%. When component with red tide area that uses only sea color image and all principal component image. displayed more correct result. And divided as quantitative,, it compares with turbid stream and the sea that red tide does not exist using statistical feature analysis about texture.

• Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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• 2003.08a
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• pp.194-198
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• 2003

내만(inner bay)과 내해(inland sea)에 다량의 질소, 인이 유입하면 식물플랑크들의 증식(적조현상)과 빈산소 수괴 현상 등의 수질문제가 발생한다. 이 때문에 본 연구가 대상으로 하는 Kitan(기담) 해협을 포함하는 Seto(뇌호)내해(inland sea)에 있어서는 1973년 Seto내해 환경임시조치법이 제정된 이후 정부차원에서 수질오탁의 원인이 되는 COD, 인 등의 총량규제가 실시되어 왔다. (중략)

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2001.05a
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• pp.255-257
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• 2001

진해 행암만은 반폐쇄성 내만으로서 생활하수 및 산업폐수의 유입에 의한 부영양화가 매우 심화된 해역으로서 겨울철에도 빈번하게 적조현상이 일어나는 해역이다. 그러나 매년 봄철부터 가을철까지는 부영양화 및 적조발생에 관한 조사는 많이 행하여 왔으나 진해만 및 마산만을 연구하기 위해 한 두 정점에 국한하여 조사가 이루어졌을 뿐이다. 특히, Park (1975)의 연구 이후 행암만에 대한 상세한 연구는 전무한 실정이며, 해수중 용존중금속 및 표층퇴적물중의 중금속농도분포도 거의 밝혀지지 않는 실정으로서 겨울철 행암만 수질과 표층퇴적물 중의 환경특성을 파악할 목적으로 본 조사를 수행하였다. (중략)

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2001.05a
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• pp.209-210
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• 2001

적조에 대한 대책으로서 가장 많이 이용되는 황토법은 적조생물을 침전시키므로써 제거하지만, 황토의 침전에 의한 2차적인 오염의 가능성이 있다 (Na et al., 1996). 황산구리, 과산화수소와 Triosyn에 의한 적조 살조효과가 있지만 이러한 화학물질은 모든 생물에 대한 살조효과가 있으므로 현상에 사용하기는 힘들다. 생물학적 방제에는 바이러스, 박테리아의 방법이 강구되고 있지만, 산소고갈 등의 2차적인 부작용이 야기된다. (중략)

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.1020-1022
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• 2018

본 연구에서는 여름철이면 찾아오는 우리나라 연근해 양식장의 이상기후 현상인 이상고온과 적조현상으로 인한 피해를 예방하고자 사전 탐색을 위한 모니터링 기술을 제안한다. 이에 필요한 환경정보 수집요소로는 수온, 산소포화도, 조도에 관한 정보수집이 있으며, 이를 위한 센서모듈을 설계하고, 측정된 센서 정보를 수집 전송하기 위한 데이터 통신과 수집된 정보의 저장 및 분석을 위한 서버측의 데이터관리 기술이 필요하다. 이러한 일련의 과정 절차를 통한 해양 이상조류 모니터링 시스템을 제안하였으며, 사업화 가능성을 타진하였다.