Technical overview on the real time monitoring system for detection and prediction of harmful algal bloom

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