The Spatio-Temporal Analysis of Cochlodinium polykrikoides Blooms Occurrence in the South Sea of Korea

2018 ◽  
Vol 6 (2) ◽  
pp. 1-13
Author(s):  
Mechekkef Youssouf ◽  
Su-Ho Bak ◽  
Hong-Joo Yoon
Author(s):  
Michael Ward ◽  
Ellen Mighell

African Swine Fever Virus (ASFV) is a highly contagious pathogen causing disease in pigs, commonly characterised by acute haemorrhagic fever. Prior to August 2018, African Swine Fever (ASF) had not been reported in Asia, but has since spread throughout China, Mongolia, Korea, Vietnam, Laos, Cambodia, Myanmar, the Philippines, Hong Kong, Indonesia, Timor-Leste and Papua New Guinea. Using data collated from reports of confirmed cases, we applied spatio-temporal analysis to describe ASFV spread throughout Asia, from 1 August 2018 (reported start date) to 31 December 2019. Analysis revealed a propagating epidemic of ASFV throughout Asia, with peaks corresponding to increased reports from China, Vietnam and Laos. Two clusters of reported outbreaks were found. During the epidemic, ASFV primarily spread from the North-East to the South-East: a larger, secondary cluster in the North-East represented earlier reports, whilst the smaller, primary cluster in the South-East was characterised by later reports. Significant differences in country-specific epidemics, morbidity, mortality and unit types were discovered, likely attributable to differences in prevention, surveillance and control measures. The initial number of outbreaks and enterprise size are likely predictors of the speed of spread and the effectiveness of ASFV stamping out procedures. Biosecurity methods, wild boar populations and the transportation of pigs and movement of infected fomites are discussed as likely risk factors for facilitating ASFV spread across Asia.


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 ◽  
...  

Harmful Algae ◽  
2015 ◽  
Vol 45 ◽  
pp. 26-32 ◽  
Author(s):  
An Suk Lim ◽  
Hae Jin Jeong ◽  
Tae Young Jang ◽  
Nam Seon Kang ◽  
Se Hyeon Jang ◽  
...  

2011 ◽  
Vol 46 (4) ◽  
pp. 239-263 ◽  
Author(s):  
Young Baek Son ◽  
Joji Ishizaka ◽  
Jong-Chul Jeong ◽  
Hyun-Choel Kim ◽  
Taehee Lee

2021 ◽  
Vol 10 (1) ◽  
pp. 31
Author(s):  
Youngjin Choi ◽  
Youngmin Park ◽  
Weol-Ae Lim ◽  
Seung-Hwan Min ◽  
Joon-Soo Lee

In this study, the occurrence of Cochlodinium polykrikoides bloom was predicted based on spatial information. The South Sea of Korea (SSK), where C. polykrikoides bloom occurs every year, was divided into three concentrated areas. For each domain, the optimal model configuration was determined by designing a verification experiment with 1–3 convolutional neural network (CNN) layers and 50–300 training times. Finally, we predicted the occurrence of C. polykrikoides bloom based on 3 CNN layers and 300 training times that showed the best results. The experimental results for the three areas showed that the average pixel accuracy was 96.22%, mean accuracy was 91.55%, mean IU was 81.5%, and frequency weighted IU was 84.57%, all of which showed above 80% prediction accuracy, indicating the achievement of appropriate performance. Our results show that the occurrence of C. polykrikoides bloom can be derived from atmosphere and ocean forecast information.


2021 ◽  
Vol 890 (1) ◽  
pp. 012001
Author(s):  
A S Budiman ◽  
D G Bengen ◽  
Z Arifin ◽  
I W Nurjaya ◽  
M F A Ismail

Abstract The wind and current are two physical forces that strongly influence the biogeochemistry in coastal waters. Both of these forces could enhance the Chlorophyll-a (Chl-a) concentration through the upwelling process. Here we examine the contribution of the wind and current to the Chl-a variability in the South Java upwelling system in terms of wind stress and bottom stress respectively using satellite-derived and reanalysis data from 2002 to 2017. Ten longitudinally cells were used for further analysis. A long-term Chl-a shows a strong longitudinal gradient of Chl-a with the highest value on the shelf. Seasonal and Inter-annual Chl-a analysis shows the evidence of the monsoonal winds and other forcing effects relevant to the previous studies. Wind stress (τwx ) has a strong seasonal variation which is upwelling- favorable during southeast monsoon coincide with higher Chl-a suggesting wind as the main forces during that time, while bottom stress (τbx ) has more complicated variations, but it’s seen that τwx mostly downwelling-favorable or eastward circulations. There were about 39.92- 52.94% of positive Chl anomalous events generated by the combination of upwelling- favourable τwx and downwelling-favorable τbx , higher than other combinations. In terms of Oceanographic drivers, the wind has a higher effect on enhancing Chl-a through a negative correlation. τwx leads the Chl-a anomalies by about 15 – 24 days with a correlation coefficient of more than 0.6.


ALGAE ◽  
2017 ◽  
Vol 32 (4) ◽  
pp. 285-308 ◽  
Author(s):  
Moo Joon Lee ◽  
Hae Jin Jeong ◽  
Jae Seong Kim ◽  
Keon Kang Jang ◽  
Nam Seon Kang ◽  
...  

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