Technical overview on the real time monitoring system for detection and prediction of harmful algal bloom
DC Field | Value | Language |
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dc.contributor.author | 강돈혁 | - |
dc.contributor.author | 김한수 | - |
dc.contributor.author | 김미라 | - |
dc.contributor.author | 정승원 | - |
dc.contributor.author | 김병권 | - |
dc.date.accessioned | 2020-07-15T13:33:05Z | - |
dc.date.available | 2020-07-15T13:33:05Z | - |
dc.date.created | 2020-02-11 | - |
dc.date.issued | 2017-11-18 | - |
dc.identifier.uri | https://sciwatch.kiost.ac.kr/handle/2020.kiost/23569 | - |
dc.description.abstract | The red tide caused by the Cochlodinium polykrikoides that is one of the harmful phytoplankton has serious impact annually in coastal waters of Korea, especially aqua-cultured fishery industry. Until recently, red tide monitoring had been depending on a microscopic examination from water sampling or on a visual observation. Because the methods are continuously in need of time, high-cost and manpower, more rapid and effective detecting methods are necessary. As a pilot project, Korea Institute of Ocean Science & Technology (KIOST) has been developing a full system integration to be connected network for the rapidly detection and the precisely prediction of the red tide. The system is called KORED system (KIOST Ocean Red-tide Environment & Detection) system and is composed with as follows (1) acoustic sensors & data, (2) Environmental sensors & data (temperature, salinity, and chlorophyll), (3) satellite image data, (4) ocean weather data, (5) current & tidal model data, (6) phytoplankton prediction model data, (7) genetic analysis kit, (8) buoy & portable platform, (9) LoRa (Long Range) network, (10) data storage server, (11) sampling data and (11) visualization & control system. We continuously performed test and evaluation to check the efficiency of the KORED system around coastal ocean, on July-September, 2017. Even though it was some improvements in system design, overall the KORED system was successfully opeepending on a microscopic examination from water sampling or on a visual observation. Because the methods are continuously in need of time, high-cost and manpower, more rapid and effective detecting methods are necessary. As a pilot project, Korea Institute of Ocean Science & Technology (KIOST) has been developing a full system integration to be connected network for the rapidly detection and the precisely prediction of the red tide. The system is called KORED system (KIOST Ocean Red-tide Environment & Detection) system and is composed with as follows (1) acoustic sensors & data, (2) Environmental sensors & data (temperature, salinity, and chlorophyll), (3) satellite image data, (4) ocean weather data, (5) current & tidal model data, (6) phytoplankton prediction model data, (7) genetic analysis kit, (8) buoy & portable platform, (9) LoRa (Long Range) network, (10) data storage server, (11) sampling data and (11) visualization & control system. We continuously performed test and evaluation to check the efficiency of the KORED system around coastal ocean, on July-September, 2017. Even though it was some improvements in system design, overall the KORED system was successfully ope | - |
dc.description.uri | 1 | - |
dc.language | English | - |
dc.publisher | Asian Fisheries Acoustic Society | - |
dc.relation.isPartOf | THE INTERNATIONAL CONFERENCE ON UNDERWATER ACOUSTICS FOR SUSTAINABLE FISERIES IN ASIA | - |
dc.title | Technical overview on the real time monitoring system for detection and prediction of harmful algal bloom | - |
dc.type | Conference | - |
dc.citation.conferencePlace | CC | - |
dc.citation.endPage | 50 | - |
dc.citation.startPage | 50 | - |
dc.citation.title | THE INTERNATIONAL CONFERENCE ON UNDERWATER ACOUSTICS FOR SUSTAINABLE FISERIES IN ASIA | - |
dc.contributor.alternativeName | 강돈혁 | - |
dc.contributor.alternativeName | 김한수 | - |
dc.contributor.alternativeName | 김미라 | - |
dc.contributor.alternativeName | 정승원 | - |
dc.identifier.bibliographicCitation | THE INTERNATIONAL CONFERENCE ON UNDERWATER ACOUSTICS FOR SUSTAINABLE FISERIES IN ASIA, pp.50 | - |
dc.description.journalClass | 1 | - |