Study on likelihood assessment of Harmful Algal Bloom (HAB) outbreak using big data

Title
Study on likelihood assessment of Harmful Algal Bloom (HAB) outbreak using big data
Author(s)
손영백; 박경섭; 엄정호; 정진용
KIOST Author(s)
Son, Young Baek(손영백)Jeong, Jin Yong(정진용)
Alternative Author(s)
손영백; 정진용
Publication Year
2017-11-22
Abstract
Harmful algal blooms (HABs), which related a devastating algal bloom, recently cause the serious problems of fishery and aquaculture economic activities in the South Sea of Korea (SSK). To understand the temporal and spatial variations of red tide events and determine physical factors as function of bloom occurrence and disappearance in SSK, we used the ocean color, sea surface temperature, sea surface wind data, in-situ observation data during 1998~2016. To detect red tide bloom from non-red tide bloom, we used a spectral classification method based on ocean color satellite. To determine the bio-physical relationship between bloom and physical factor, we used big data processing method using red-tide related multi-dimensional data. Diatom or dinoflagellate blooms have occurred frequently within enclosed and semi-enclosed bays since the early 1990s. Its duration and areal extent have been changed with wide range dispersion included the east and west coastal water and found often offshore clear water due to C. polykrikoides blooms after 1995. Initiation of C. polykrikoides blooms have occurred at frequent intervals in clear, offshore waters between Naro-do and Namhae-do, Korea, which might be related to thermal front between coastal water and offshore warm water. Blooms have been extended to along east/west coast or offshore driven by summer monsoon winds (southerly wind). In long-term variation of blooms, red tidesed tide events and determine physical factors as function of bloom occurrence and disappearance in SSK, we used the ocean color, sea surface temperature, sea surface wind data, in-situ observation data during 1998~2016. To detect red tide bloom from non-red tide bloom, we used a spectral classification method based on ocean color satellite. To determine the bio-physical relationship between bloom and physical factor, we used big data processing method using red-tide related multi-dimensional data. Diatom or dinoflagellate blooms have occurred frequently within enclosed and semi-enclosed bays since the early 1990s. Its duration and areal extent have been changed with wide range dispersion included the east and west coastal water and found often offshore clear water due to C. polykrikoides blooms after 1995. Initiation of C. polykrikoides blooms have occurred at frequent intervals in clear, offshore waters between Naro-do and Namhae-do, Korea, which might be related to thermal front between coastal water and offshore warm water. Blooms have been extended to along east/west coast or offshore driven by summer monsoon winds (southerly wind). In long-term variation of blooms, red tides
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/23562
Bibliographic Citation
Asia Data Week 2917, pp.93 - 94, 2017
Publisher
한국과학기술정보연구원(KISTI)
Type
Conference
Language
English
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