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<p>This study aims to understand the impact of varying artificial lighting setups on the vertical distribution of cyanobacteria (<i>Microcystis aeruginosa</i>), especially in environments with submerged vertical lighting, such as tourist attractions and aquaculture farms. Experiments were conducted under controlled laboratory conditions using three water columns, each 1.5&#xa0;m deep. The experiment began with a five-day pre-cultivation period, followed by a ten-day experimental phase. The initial half of the experiment utilized top lighting, while uniform vertical lighting was used during the latter half. Samples were collected at various depths during the experiment to measure cell counts, chlorophyll <i>a</i> contents, carbohydrate contents of <i>M. aeruginosa</i>, and changes in water quality parameters over time. After changing the lighting setups, significant changes were observed in the amount of <i>M. aeruginosa</i> cells at different depths. A random forest model was used to categorize the cyanobacterial distribution into two groups, achieving 90.91% accuracy in correlating these patterns with the lighting setups. The study confirms that lighting setups significantly influence the vertical distribution of <i>M. aeruginosa</i>. The finding is helpful in managing cyanobacterial dynamics in both artificial and natural aquatic systems, particularly for controlling blooms and ensuring water quality safety.</p>

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Effect of lighting setup on Microcystis aeruginosa in a shallow water column and classification of results using random forest model

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年2月17日

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  • Hongyu Yan,
  • Mudalige Don Hiranya Jayasanka Senavirathna,
  • Takeshi Fujino

摘要

This study aims to understand the impact of varying artificial lighting setups on the vertical distribution of cyanobacteria (Microcystis aeruginosa), especially in environments with submerged vertical lighting, such as tourist attractions and aquaculture farms. Experiments were conducted under controlled laboratory conditions using three water columns, each 1.5 m deep. The experiment began with a five-day pre-cultivation period, followed by a ten-day experimental phase. The initial half of the experiment utilized top lighting, while uniform vertical lighting was used during the latter half. Samples were collected at various depths during the experiment to measure cell counts, chlorophyll a contents, carbohydrate contents of M. aeruginosa, and changes in water quality parameters over time. After changing the lighting setups, significant changes were observed in the amount of M. aeruginosa cells at different depths. A random forest model was used to categorize the cyanobacterial distribution into two groups, achieving 90.91% accuracy in correlating these patterns with the lighting setups. The study confirms that lighting setups significantly influence the vertical distribution of M. aeruginosa. The finding is helpful in managing cyanobacterial dynamics in both artificial and natural aquatic systems, particularly for controlling blooms and ensuring water quality safety.