한국 연안에서 발생하는 Cochlodinium polykrikoides 유해 적조의 광학적 구별

Abstract

Harmful algal blooms (HABs) have occurred and caused large damages to the fishery industry in the coastal waters of Korean peninsula since late 1980s. To effectively detect and monitor the spatial and temporal distributions of widespread HABs, in-situ optical measurements and/or satellite remote sensing can be used. In this study, we investigated the possibility of optically discriminating HABs focusing on C. polykrikoides, the major HAB causative dinoflagellate species in Korean waters. We estimated the apparent optical properties (AOPs) from the inherent optical properties (IOPs) of C. polykrikoides blooms based on forward calculation to use the distinctive optical characteristics for discriminating C. polykrikoides blooms from non-HABs in the visible wavelength. We produced a large dataset of simulated remote sensing reflectance (Rrs) spectra in a wide range of bio-optical conditions using Hydrolight software and bio-optical data provided by the International Ocean-Color Coordinating Group (IOCCG). The two Rrs band ratios (R1: Rrs(555)/Rrs(531), R2: Rrs(488)/Rrs(443)) were determined to be effectively in discriminating high-density C. polykrikoides blooms. Even under optically complex water conditions, the distribution of C. polykrikoides blooms in the space of R1-R2 was separated clearly from that of non-HABs. The results were consistent with in-situ observations and seem applicable to diverse coastal environmentBs, in-situ optical measurements and/or satellite remote sensing can be used. In this study, we investigated the possibility of optically discriminating HABs focusing on C. polykrikoides, the major HAB causative dinoflagellate species in Korean waters. We estimated the apparent optical properties (AOPs) from the inherent optical properties (IOPs) of C. polykrikoides blooms based on forward calculation to use the distinctive optical characteristics for discriminating C. polykrikoides blooms from non-HABs in the visible wavelength. We produced a large dataset of simulated remote sensing reflectance (Rrs) spectra in a wide range of bio-optical conditions using Hydrolight software and bio-optical data provided by the International Ocean-Color Coordinating Group (IOCCG). The two Rrs band ratios (R1: Rrs(555)/Rrs(531), R2: Rrs(488)/Rrs(443)) were determined to be effectively in discriminating high-density C. polykrikoides blooms. Even under optically complex water conditions, the distribution of C. polykrikoides blooms in the space of R1-R2 was separated clearly from that of non-HABs. The results were consistent with in-situ observations and seem applicable to diverse coastal environment