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

DC Field Value Language
dc.contributor.author 손영백 -
dc.contributor.author 박경섭 -
dc.contributor.author 엄정호 -
dc.contributor.author 정진용 -
dc.date.accessioned 2020-07-15T13:32:59Z -
dc.date.available 2020-07-15T13:32:59Z -
dc.date.created 2020-02-11 -
dc.date.issued 2017-11-22 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/23562 -
dc.description.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 -
dc.description.uri 1 -
dc.language English -
dc.publisher 한국과학기술정보연구원(KISTI) -
dc.relation.isPartOf Asia Data Week 2917 -
dc.title Study on likelihood assessment of Harmful Algal Bloom (HAB) outbreak using big data -
dc.type Conference -
dc.citation.conferencePlace KO -
dc.citation.endPage 94 -
dc.citation.startPage 93 -
dc.citation.title Asia Data Week 2917 -
dc.contributor.alternativeName 손영백 -
dc.contributor.alternativeName 정진용 -
dc.identifier.bibliographicCitation Asia Data Week 2917, pp.93 - 94 -
dc.description.journalClass 1 -
Appears in Collections:
Sea Power Enhancement Research Division > Marine Domain & Security Research Department > 2. Conference Papers
Jeju Research Institute > Tropical & Subtropical Research Center > 2. Conference Papers
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse