Possible factors responsible for the toxicity of Cochlodinium polykrikoides, a red tide phytoplankton

Author(s):  
Daekyung Kim ◽  
Tatsuya Oda ◽  
Tsuyoshi Muramatsu ◽  
Daeil Kim ◽  
Yukihiko Matsuyama ◽  
...  
Harmful Algae ◽  
2019 ◽  
Vol 86 ◽  
pp. 37-45 ◽  
Author(s):  
Yun Kyung Shin ◽  
Sang-Eun Nam ◽  
Won Jin Kim ◽  
Do Yeon Seo ◽  
Youn-Jung Kim ◽  
...  

Desalination ◽  
2009 ◽  
Vol 249 (3) ◽  
pp. 1171-1179 ◽  
Author(s):  
Yongmin Kim ◽  
Younggi Byun ◽  
Yongil Kim ◽  
Yangdam Eo

ALGAE ◽  
2017 ◽  
Vol 32 (3) ◽  
pp. 199-222 ◽  
Author(s):  
An Suk Lim ◽  
Hae Jin Jeong ◽  
Kyeong Ah Seong ◽  
Moo Joon Lee ◽  
Nam Seon Kang ◽  
...  

ALGAE ◽  
2016 ◽  
Vol 31 (4) ◽  
pp. 373-378 ◽  
Author(s):  
Hyun-Hee Hong ◽  
Hyun-Gwan Lee ◽  
Jihoon Jo ◽  
Hye Mi Kim ◽  
Su-Man Kim ◽  
...  

2020 ◽  
Author(s):  
Eunkyung Lee ◽  
Jeong-Eon Moon ◽  
Young-Je Park ◽  
Tai-Hyun Han

<p>Red tide, which occurs off the southern coast of the Korean Peninsula, is a maritime phenomenon that usually occurs between June and September every year, mostly by Cochlodinium polykrikoides single species. There are very few studies using the analytical methods of the inherent and apparent optical properties for these red tide. Ahn et al.(2009) analyzed the inherent optical properties of 26 species of red tide organisms occurring off the southern coast of the Korean Peninsula. Kim et al.(2016) distinguished the optical characteristics for Cochlodinium polykrikoides using field data and Hydrolight simulator. Using these analytical methods, we will understand the ocean optical properties of red tide and use the remote sensing reflectance simulator in the future to produce the input data necessary for developing the red tide analysis technology based on machine learning. Therefore, in this study, as an initial analysis, we will compare the in-situ data of red tide and non-red tide waters off the southern coast of the Korean Peninsula in September 2014 and August 2017 to identify differences in the spectral form and compare the ability of the remote sensing reflectance spectrum with the field data using a remote sensing reflectance simulator.</p>


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