Growth prediction of Microcystis aeruginosa based on a secondary decomposition integration model
Microcystis aeruginosa is the dominant species in the blooms of eutrophic lakes such as Taihu Lake in China. Chlorophyll-a is one of the most common indicators to characterize its biomass. The nonlinearity and unsteadiness of the chlorophyll-a sequence decrease the prediction accuracy. In this paper...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
IWA Publishing
2023-08-01
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Series: | Water Science and Technology |
Subjects: | |
Online Access: | http://wst.iwaponline.com/content/88/4/829 |