• 제목/요약/키워드: Algae Blooms

검색결과 126건 처리시간 0.02초

Timing for the First Appearance of Swimming Cells of Harmful Algae, Cochlodinium polykrikoides and Their Growth Characteristics in the South Sea of Korea

  • Lee, Chang-Kyu;Jung, Chang-Su;Lee, Sam-Geun;Kim, Suk-Yang;Lim, Wol-Ae;Kim, Hak-Gyoon;Kang, Young-Sil
    • 한국어업기술학회:학술대회논문집
    • /
    • 한국어업기술학회 2001년도 추계 수산관련학회 공동학술대회발표요지집
    • /
    • pp.204-205
    • /
    • 2001
  • Manful algae, Cochlodinium polykrikoides has damaged to fisheries organisms by making massive blooms mainly in the South Sea during the higher water temperature season since 1995 in Korea. Ecological and hydrodynamic studies of the species offer useful information in understanding its bloom mechanism giving promising data for the modeling and prediction of the blooms. (omitted)

  • PDF

Classification of algae in watersheds using elastic shape

  • Tae-Young Heo;Jaehoon Kim;Min Ho Cho
    • Communications for Statistical Applications and Methods
    • /
    • 제31권3호
    • /
    • pp.309-322
    • /
    • 2024
  • Identifying algae in water is important for managing algal blooms which have great impact on drinking water supply systems. There have been various microscopic approaches developed for algae classification. Many of them are based on the morphological features of algae. However, there have seldom been mathematical frameworks for comparing the shape of algae, represented as a planar continuous curve obtained from an image. In this work, we describe a recent framework for computing shape distance between two different algae based on the elastic metric and a novel functional representation called the square root velocity function (SRVF). We further introduce statistical procedures for multiple shapes of algae including computing the sample mean, the sample covariance, and performing the principal component analysis (PCA). Based on the shape distance, we classify six algal species in watersheds experiencing algal blooms, including three cyanobacteria (Microcystis, Oscillatoria, and Anabaena), two diatoms (Fragilaria and Synedra), and one green algae (Pediastrum). We provide and compare the classification performance of various distance-based and model-based methods. We additionally compare elastic shape distance to non-elastic distance using the nearest neighbor classifiers.

Design of In-situ Self-diagnosable Smart Controller for Integrated Algae Monitoring System

  • Lee, Sung Hwa;Mariappan, Vinayagam;Won, Dong Chan;Shin, Jaekwon;Yang, Seungyoun
    • International Journal of Advanced Culture Technology
    • /
    • 제5권1호
    • /
    • pp.64-69
    • /
    • 2017
  • The rapid growth of algae occurs can induce the algae bloom when nutrients are supplied from anthropogenic sources such as fertilizer, animal waste or sewage in runoff the water currents or upwelling naturally. The algae blooms creates the human health problem in the environment as well as in the water resource managers including hypoxic dead zones and harmful toxins and pose challenges to water treatment systems. The algal blooms in the source water in water treatment systems affects the drinking water taste & odor while clogging or damaging filtration systems and putting a strain on the systems designed to remove algal toxins from the source water. This paper propose the emerging In-Situ self-diagnosable smart algae sensing device with wireless connectivity for smart remote monitoring and control. In this research, we developed the In-Site Algae diagnosable sensing device with wireless sensor network (WSN) connectivity with Optical Biological Sensor and environmental sensor to monitor the water treatment systems. The proposed system emulated in real-time on the water treatment plant and functional evaluation parameters are presented as part of the conceptual proof to the proposed research.

한강하류의 환경학적 연구 -VII. 식물플랑크톤군집의 장기간 변화와 전망- (Environmental Studies in the Lower Part of the Han River -VII. Long Term Variations and Prospect of the Phytoplankton Community-)

  • 이진환;정승원
    • ALGAE
    • /
    • 제19권4호
    • /
    • pp.321-327
    • /
    • 2004
  • The literature review on the dynamics of the phytoplankton communities in terms of species composition, standing crops, abundant species and dominant species in the lower part of the Han River from 1940s to 2000s was conducted for the prospective prediction of their succession patterns. Total of 326 taxa were identified and they belonged to 47 blue-green algae, 139 green algae, 12 euglenoids, 126 diatoms, 6 din flagellates and 2 silicoflagellates. Composition of phytoplankton communities were 83.6% diatoms, 10.5% blue-green algae and 5.3% green algae in the middle of 1960s, whereas those were 43.2% diatoms, 40.7% green algae and 13.6% blue-green algae in the 1990s. Before 1990s, Synedra ulna, Melosira varians, Cymbella tumida, Synedra acus, Cymbella ventricosa, Navicula cryptocephala, Nitzschia palea, Aulacoseira granulata, Gomphonema parvulum and Cymbella affinis were most frequent, while those after 1990 were Asterionella formosa, Asterionella gracillima, Aulacoseira granulate, Aulacoseira granulata var. angustissima, Chlorella vulgare, Fragilaria crotonensis and Synedra ulna. Phytoplankton blooms were frequent from winter to the late spring and rare in summer due to heavy rain and discharge. Seasonal variations of the dominant species were fairly obvious; Asterionella gracillima and Aulacoseira granulata in spring, Aulacoseira granulate and Aulacoseira granulate var. angustissima in summer and autumn, Asterionella gracillima and Stephan discus hantzschii in winter. Recently blue-green algae, Microcystis, Aphanocapsa, Dactylococcopsis have been more abundant than those of the previous reports. Based on the current situations, Stephan discus hantzschii f. tennis, Asterionella gracillima, Aulacoseira granulate and blue-green algae will be more abundant and blooms of those species will be more frequent.

Taxonomy of Ulva causing blooms from Jeju Island, Korea with new species, U. pseudo-ohnoi sp. nov. (Ulvales, Chlorophyta)

  • Lee, Hyung Woo;Kang, Jeong Chan;Kim, Myung Sook
    • ALGAE
    • /
    • 제34권4호
    • /
    • pp.253-266
    • /
    • 2019
  • Several species classified to the genus Ulva are primarily responsible for causing green tides all over the world. For almost two decades, green tides have been resulted in numerous ecological problems along the eastern coast of Jeju Island, Korea. In order to characterize the species of Ulva responsible for causing the massive blooms on Jeju Island, we conducted DNA barcoding of tufA and rbcL sequences on 183 specimens of Ulva from eight sites on Jeju Island. The concatenated analysis identified five bloom-forming species: U. australis, U. lactuca, U. laetevirens, U. ohnoi and a novel species, U. pseudo-ohnoi sp. nov. Among them, U. australis, U. lactuca, and U. laetevirens caused to the blooms coming mainly from the substratum. U. ohnoi and U. pseudo-ohnoi sp. nov. were causative the free-floating blooms. Four species, except U. australis, are characterized by marginal teeth. A novel species, U. pseudo-ohnoi sp. nov., is clearly diverged from the U. lactuca, U. laetevirens, and U. ohnoi clade in the concatenated maximum likelihood analysis. Accurate species delimitation will contribute to a management of massive Ulva blooms based on this more comprehensive knowledge.

Monitoring of Algal Bloom at Seomjin River Estuary, Southern Coast of Korea

  • Yoo, Jong-Su
    • ALGAE
    • /
    • 제18권4호
    • /
    • pp.361-363
    • /
    • 2003
  • This study was conducted at Seomjin River estuary to identify the causative species of algal bloom and their blooming cycles. Field surveys were conducted at 4 stations in every week from April to December of 1999. Thirty species were observed as the causative species of alga bloom. Skeletonema costatum, Thalassiosira sp., and microflagellate spp. (mixed red tide: Chroomonas sp. and two species of Prasinophycea) made algal blooms during the present study period. In addition, toxic algal species of diatom Pseudo-nitzschia multiseries and dinoflagellate Dinophysis acuminata were observed. The algal blooms were caused by microflagellate spp. in June, Thalassiosira sp. in July and Skeletonema costatum in August. Generally, the algal blooms persisted for about 5 days in this area.

퍼지 추론을 이용한 적조 발생 예측 (Red Tide Blooms Prediction using Fuzzy Reasoning)

  • 박선;이성로
    • 정보처리학회논문지B
    • /
    • 제18B권5호
    • /
    • pp.291-294
    • /
    • 2011
  • 적조란 유해조류의 대 번식으로 바다물의 색깔이 변하는 일시적인 자연현상으로 어패류를 집단 폐사 시킨다. 유해 적조류에 의한 국내 수산업 피해가 증가함에 따라서 적조에 대한 많은 연구가 이루어지고 있다. 특히 적조 발생 예측은 적조에 대한 피해를 최소화 시킬 수 있다. 그러나 국내의 적조 현상 예측에 대한 대부분의 연구는 단순히 적조 분류에 집중되어 있어서 적조발생 예측에는 미흡하다. 본 논문은 퍼지 추론을 이용한 새로운 적조발생 예측 방법을 제안한다.

나이브베이스 분류자와 퍼지 추론을 이용한 적조 발생 예측의 성능향상 (Enhancing Red Tides Prediction using Fuzzy Reasoning and Naive Bayes Classifier)

  • 박선;이성로
    • 한국정보통신학회논문지
    • /
    • 제15권9호
    • /
    • pp.1881-1888
    • /
    • 2011
  • 적조란 유해조류의 일시적인 대 번식인 자연현상으로 어패류를 집단 폐사 시킨다. 적조에 의한 양식어업의 피해는 매년 발생하고 있다. 이 때문에 적조 발생을 미리 예측할 수 있으면 적조에 대한 피해를 최소화 시킬 수 있다. 적조발생 예측시 나이브베이스 분류자를 이용하면 좋은 예측결과를 얻을 수 있다. 그러나 나이브베이스를 이용한 결과는 단순한 발생 여부 만을 판별 할뿐 발생하는 적조가 어느 정도 증가 할지는 알 수 없다. 본 논문은 퍼지 추론과 나이브베이스 분류자를 이용한 새로운 적조발생 예측 방법을 제안한다. 제안방법은 적조 발생 예측의 정확률을 향상시키면서 적조생물 밀도의 증가율을 예측할 수 있다.

인공신경망을 이용한 식물플랑크톤의 대량 증식 제어 알고리즘 개발 (Development of Mass Proliferation Control Algorithm of Phytoplankton Using Artificial Neural Network)

  • 박성화;김종구;권민선
    • 해양환경안전학회지
    • /
    • 제29권5호
    • /
    • pp.435-444
    • /
    • 2023
  • 새만금 내에서는 종종 식물플랑크톤이 증식하기에 알맞은 환경조건이 생성되며 일시에 식물플랑크톤 대증식이 발생하면서 조류 관리기준을 초과하는 사례가 발생하고 있다. 이를 대비하기 위하여 과학적 예측기법을 토대로, 식물플랑크톤의 종별로 가장 효과적이고 효율적인 녹조발생 억제 방안을 제안하기 위하여 식물플랑크톤 대증식 가능성을 예측하고, 제어할 수 있는 모델을 개발하였다. 즉, 하천에서 유입하는 영양염(DIN, PO4-P)을 정책적으로 조절하고, 갑문운영을 통해 호 내 염분을 제어하는 것이다. 먼저 관측치로부터 인공신경망 알고리즘을 이용해 식물플랑크톤 대증식 가능성을 예측 결과, 모델의 Kappa 수는 0.7889 ~ 1.0000의 범위로, good ~ excellent 수준이었다. 다음으로 Garson 알고리즘을 이용하여 종별로 설명변수의 중요도를 평가하였고, 또한 DIN 및 염분 값의 변화에 따른 식물플랑크톤 대량 증식 확률을 예측하였다. 그 결과, 각 종별로 식물플랑크톤의 대증식을 억제할 수 있는 DIN과 염분 농도를 정량적으로 예측할 수 있었다. 따라서, 향후 새만금과 같은 거대한 인공 호수에서 식물플랑크톤의 대증식을 억제하기 위한 효율적이고 효과적인 대응방안을 마련할 수 있도록 녹조제어모델을 활용할 수 있을 것으로 판단된다.