Publications by authors named "Gyesik Lee"

Article Synopsis
  • Algal blooms can harm water quality and lead to various issues, especially in a region of Korea known for high nitrogen and phosphorus levels from a sewage treatment plant.
  • Researchers used four machine learning models to predict chlorophyll-a (Chl-a) concentrations and found that discharge flow rate (D-Flow) and water temperature were the main factors influencing algal blooms.
  • The study revealed that maintaining a specific D-Flow is crucial for controlling Chl-a levels, with different seasonal demands indicating that adjusting D-Flow strategically can help mitigate algal bloom problems effectively.
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