Correlations between several environmental factors affecting the bloom events of cyanobacteria in Liptovska Mara reservoir (Slovakia)—A simple regression model
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DOI: 10.1016/j.ecolmodel.2007.07.028
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References listed on IDEAS
- Maier, H.R. & Dandy, G.C., 1997. "Modelling cyanobacteria (blue-green algae) in the River Murray using artificial neural networks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 377-386.
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- Ratté-Fortin, Claudie & Chokmani, Karem & El Alem, Anas & Laurion, Isabelle, 2022. "A regional model to predict the occurrence of natural events: Application to phytoplankton blooms in continental waterbodies," Ecological Modelling, Elsevier, vol. 473(C).
- Yu Liu & Du-Gang Xi & Zhao-Liang Li, 2015. "Determination of the Optimal Training Principle and Input Variables in Artificial Neural Network Model for the Biweekly Chlorophyll-a Prediction: A Case Study of the Yuqiao Reservoir, China," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-16, March.
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Keywords
Cyanobacterial bloom; Environmental factors; TN:TP ratio; Water temperature; Regression analysis;All these keywords.
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