• Korean Journal of Ecology and Environment
• /
• v.34 no.4 s.96
• /
• pp.292-297
• /
• 2001

As a part of study on the microalgal dynamics in a small pond in Hongsung, Chungnam, we found a massive bloom of chlorococcalean green alga, Dictyosphaerium pulchellum during the year-round survey from January 2000 to January 2001. D. pulchellum occurred at a low frequency throughout the year. However, D. pulchellum began to increase from 12 March, showed a peak of blooming with 59,200 colonies $mL^{-1}$ in 2 April, and abruptly decreased in 16 April. Colonies were 8-celled and 16-celled at early stage of blooming, 32-celled or 64-celled at the midst of blooming, and most of colonies consisted of 64 cells at the end of blooming. Colonies of D. pulchellum were healthy at the early stage of blooming, but most of colonies were infected with some parasites at the end of blooming. The infected cells bleached out with decomposing chloroplast and pyrenoids. The infection with parasites, together with irradiance and nutrient limitations, appears to stop D. pulchllum bloom. This is the first report on the occurrence of blooming of a green algal genus Dictyosphaerium and its infection with parasite in Korea.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• v.9 no.1
• /
• pp.391-396
• /
• 2005

Red tide(harmful algae) in the Korean Coastal Waters has a given a great damage to the fishery every year. However, the aim of our study understands the influence of meteorological factors (air and water tempaerature, precipitation, sunshine, solar radiation, winds) relating to the mechanism of red tide occurrence and monitors red tide by satellite remote sensing, and analyzes the potential area for red tide occurrence by GIS. The meteorological factors have directly influenced on red tide formation. Thus, We want to predict and apply to red tide formation from statistical analyses on the relationships between red tide formation and meteorological factors. In future, it should be realized the near real time monitoring for red tide by the development of remote sensing technique and the construction of integrated model by the red tide information management system (the data base of red tide - meteorological informations).

• Journal of Environmental Health Sciences
• /
• v.35 no.5
• /
• pp.376-385
• /
• 2009

The characteristics of Lake Cheonhoji water and sediment were investigated in oder to utilize these as fundamental materials for the management of lake water quality. The hydrographic properties of Lake Cheonhoji which are relatively low chance of nutrients loading from the watershed and a long retention time of lake water, lead to the probability of high lake productivity. It was also observed that lake water showed stratification during summer and complete mixing during fall, even though water depth was relatively shallow. The trophic state was eutrophic to hypertrophic from summer to late fall. The overall properties of the sediment were oligohumic, high ignition loss and high composition of NAIP and Resid.-P, which might serve as potential pollution sources of lake water quality. In laboratory scale experiments, it was observed that leaching potential of nutrients in the sediment was greatly dependant upon water temperature and dissolved oxygen. Finally, water pollution in Lake Cheonhoji was considered to be largely due to the adverse cycle of uncontrollable eutrophication, which resulted in the subsequent occurrence of dead algae and animal plankton, organic sedimentation, reduction of dissolved oxygen and nutrients leaching, which again reinforced the cycle of eutrophication in the lake.

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

• Journal of environmental and Sanitary engineering
• /
• v.23 no.2
• /
• pp.55-63
• /
• 2008

All over the world, the existing process of water purification needs more flocculants and chlorine due to a gradual decline in the quality of source water. Therefore, the problem of the remaining aluminium and DBPs in purified water is on the rise. To solve this problem, the process of membrane filter has recently come into the spotight. This study reaches the following conclusions concerning TMP variation in order to solve the dropping of flux throgh a membrane filter when operating a membrane filter system in the process of water purification. 1. In case that a cohesion-precipitation process was introduced to pre-treatment of a membrane filter, initial TMP was very satisfactory(0.27kg/cm) in producing the constantly safe quality of water, $0.04{\sim}0.1$(mean 0.05) NTU by pouring 2mg/l of PACI(10% $Al_2O_3$) used for the existing process of water purification in high-density turbidity at a dry or flood season and at occurrence of high algae. 2. As flux increased at 0.5m/day.m, TMP increased 0.05 kgf/cm. 3. As filtering, operation mode of PVDF MF membrane filtering was 48 minutes and 1 cycle of back washing was 42 minutes, flux was increased 1.5m/day.m and TMP increased $0.25{\sim}0.27kgf/cm$. Without back washing, TMP increased 0.03 kgf/cm per a cycle.

• Korean Journal of Ecology and Environment
• /
• v.42 no.2
• /
• pp.192-199
• /
• 2009

Freshwater green algae are one of the important sources of bioenergy in the future. Spirogyra is a conjugating filamentous zygnematacean green algal genus that is widely distributed worldwide with more than 400 species. Despite its widespread occurrence throughout the world, cytological studies of the genus have been limited. We investigated karyological features and chromosome numbers for seven Korean Spirogyra species. Most of the species examined in the present study showed significant karyological features, inner organization of nucleolus, heavily stainable nucleolar substance and the diffuse-centric nature of chromosomes, typical of the Conjugales. Chromosome number ranged from n=12 in S. varians to n=38 in S. africana. Aberrant cytokinesis resulted in binucleate and tetranucleate cells, which sometimes provide cytological explanation for different morphology and ploidal changes in clonal culture of Spirogyra or even different cells within the same filament. The present chromosome data also substantiates the earlier held assumption that aneuploidy must have been the chief driving force for speciation and evolution of the genus Spirogyra.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2016.05a
• /
• pp.126-126
• /
• 2016

남강은 낙동강 주요 지류인 동시에 낙동강 하류지역의 유지용수, 생활, 공업, 농업용수 공급 등에 중요 역할을 하고 있어 오염원 및 수질관리가 매우 중요하다고 볼 수 있다. 최근 남강댐 하류 및 남강합류 후 낙동강 본류인 창녕함안보 지점에서의 녹조 발생이 빈번해지고 있으며, 녹조현상에 대한 관심과 우려가 높아지고 있는 실정이다. 따라서 기존 호소의 녹조관리는 '조류경보제'에 의해서 관리되고 있지만 4대강 16개의 보 건설 이후 '수질예보제'와 같이 녹조관리를 위한 제도 및 정책이 시행되면서 조류관리의 중요성이 대두되고 있다. 본 연구에서는 기존의 많은 문헌들을 참고하여 조류의 영향인자를 파악하였으며, 남강유역의 물관리 기초자료를 수집하고 구축된 데이터 기반의 각 항목별 주요항목 영향인자 분석을 위한 상관성 분석을 실시하여 영향인자별 상관관계 우선순위를 선정하여 입력변수로 이용하였다. 그에 따른 데이터 마이닝을 통한 조류 발생특성을 고려하여 예측 모형인 다중회귀분석(Multiple Regression Analysis)을 구현하였다. 회귀분석 과정에서 다중공선성이 발생하는 변수에 대해서는 모형에서 제거하였으며, 잔차분석을 통해 이상치와 영향치를 검토하여 고려하였다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2023.05a
• /
• pp.147-147
• /
• 2023

낙동강은 4대강 사업을 통한 다기능 보 건설로 하천 환경에 변화가 일어났다. 하천 수심이 증가하고 유속이 느려지는 정체성 수역 특성을 나타내고 있다. 이는 남조류 발생에 영향을 주며 남조류가 분비하는 독성물질 또한 수생태계와 인체에 유해하며 남조류 발생에 따른 다양한 원인인자들이 있다. 이러한 남조류 발생 특성을 정량적으로 규명하기 위하여 최근 조류 관리에 있어 데이터 마이닝 및 머신러닝 기법을 적용한 연구가 이루어지고 있다. 머신러닝에서는 학습자료 선정에 따라 예측 결과가 다르게 나타나며 이는 발생원인이 복잡한 남조류에 있어 중요한 부분이라 볼 수 있다. 낙동강의 다기능보는 하나의 유체에 직렬형으로 8개의 다기능보가 위치하고 있다. 8개의 보로 나누어져있는 하천은 각 구간별로 보의 수리학적 특성, 유역 특성이 다르다. 따라서 구간별 조류 발생 특성이 다르게 나타난다. 본 연구에서는 구간별 특성을 분류하고 조류 발생에 영향을 미치는 주요 인자들을 분석하고자 한다. 조류 발생에 있어 낙동강 8개 보 지점에 대하여 복잡한 남조류 발생 주요 영향인자 분석과 더불어 머신러닝 기법을 이용하여 영향인자에 따른 남조류 발생조건을 정량적으로 분석하였다. 수질 인자뿐만이 아닌 수리학적 인자를 고려하여 수리학적 체적시간이 다른 각 보에서의 조류발생 특성을 분석하고자 하였다. 또한 학습인자에 따라 남조류 예측에 대한 정확도 향상이 가능한지를 확인하고 이를 통해 정체성 하천에서의 남조류 발생 특성에 대해 연구하고자 하였으며 이를 통해 낙동강 남조류 발생 및 관리에 있어 선제적 관리에 활용하고자 한다.

• Journal of Sensor Science and Technology
• /
• v.33 no.1
• /
• pp.30-33
• /
• 2024

The occurrence of harmful algae on the coast of Korea has been a cause of damage to the aquaculture industry and deterioration of the coastal ecosystem environment. A method is required to predict their outbreak in real-time at the site. Therefore, this study attempted to develop a small hybrid optical sensor and real-time monitoring system based on LiDAR that can be used in the field and laboratory and can be applied to various platforms. FMS-L specifically suggested the amount of Chlorophyll a (Chl a) in the sample by measuring and analyzing the fluorescence emitted by the irradiating light. The accuracy of FMS-L was verified by measuring the concentrations of standard Chlorophyll a substances and Margalfidinium polykirkoids. In addition, the precision was verified by comparing the measurement results of FMS-L using commercial equipment Phyto-PAM-II. This equipment is compact and easy to move. Therefore, it can be easily applied to field surveys, allows short time measurements (10 s), and can be applied at a distance of 10 m from the measurement site.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.25 no.1
• /
• pp.101-119
• /
• 2022

Existing algal bloom monitoring is based on field sampling, and there is a limit to understanding the spatial distribution of algal blooms, such as the occurrence and spread of algae, due to local investigations. In this study, algal bloom monitoring was performed using an unmanned aerial vehicle and multispectral sensor, and data on the distribution of algae were provided. For the algal bloom monitoring site, data were acquired from the Mulgeum·Mae-ri site located in the lower part of the Nakdong River, which is the areas with frequent algal bloom. The Chlorophyll-a(Chl-a) value of field-collected samples and the Chl-a estimation formula derived from the correlation between the spectral indices were comparatively analyzed. As a result, among the spectral indices, Maximum Chlorophyll Index (MCI) showed the highest statistical significance(R²=0.91, RMSE=8.1mg/m³). As a result of mapping the distribution of algae by applying MCI to the image of August 05, 2021 with the highest Chl-a concentration, the river area was 1.7km², the Warning area among the indicators of the algal bloom warning system was 1.03km²(60.56%) and the Algal Bloom area occupied 0.67km²(39.43%). In addition, as a result of calculating the number of occurrence days in the area corresponding to the "Warning" in the images during the study period (July 01, 2021~November 01, 2021), the Chl-a concentration above the "Warning" level was observed in the entire river section from 12 to 19 times. The algal bloom monitoring method proposed in this study can supplement the limitations of the existing algal bloom warning system and can be used to provide information on a point-by-point basis as well as information on a spatial range of the algal bloom warning area.