Abstract
The growth of algae in eutrophic lakes is greatly influenced by the various factors such as nutrients, water temperature, and solar radiation intensity. In order to manage and maintain the ecosystem in the lakes, it is necessary to understand the dynamics of the nutrients as well as the factors affecting the algae growth seasonally. In this study, an ecosystem model based on the genetic algorithm (GA) for the optimization of the parameters during the model validation was developed to simulate the growth of algae groups (green algae, blue-green algae, and diatom algae) and analyze the principal factors affecting their growth in a eutrophic shallow lake in the inner Hanoi City. The survey of each algal group and other related variables of water quality were conducted from May 2017 to March 2018 to calibrate and verify the developed model. The principal factors affecting the algae growth were evaluated through the functions that limit their growth. Seasonal variation in the production components (including diffusion from sediment, atmosphere, and algae excretion) and consumption (photosynthesis) of dissolved inorganic phosphorus (DIP) are also quantified. Moreover, the model developed in this study promises to be a useful tool to simulate the relationship between algae biomass and nutrient concentration, as well as forecasting changes in composition and density of algae in the eutrophic lakes.
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Lap, B.Q., Ta, D.T. Analysis of the Principal Factors Affecting the Algae Growth in an Urban Eutrophic Shallow Lake by an Ecosystem Model. Water Air Soil Pollut 231, 537 (2020). https://doi.org/10.1007/s11270-020-04895-2
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DOI: https://doi.org/10.1007/s11270-020-04895-2