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Atmospheric and Oceanic Optics

2023 year, number 12

Automated system for the analysis of fluorescent characteristics of microalgae monocultures

A.Yu. Popik, E.L. Gamayunov, S.S. Voznesenskiy
Institute of Automation and Control Prosesses Far Easten Branch of the Russian Academy of Science, Vladivostok, Russia
Keywords: automated system, similarity index, identification, red tide, harmful algal bloom, chlorophyll a, LIF

Abstract

Methods of laser-induced fluorescence and their use in monitoring tools allow solving a number of key problems in the detection of algal blooms. The automated system developed by us makes it possible to process and analyze huge amount of fluorescent spectral characteristics of microalgae monocultures, to determine the dominant monocultures in the water area at the level of genus, and to estimate a possibility of their blooming. In addition, the system makes it possible to catalog reference optical characteristics of microalgae monocultures and to implement interactive algorithms for detecting dangerous microalgae species.