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Cyanotoxins, a kind of poisonous substances produced by cianobacteria, are responsibles for health risks in surface waters used for drinking or for recreation. As a result, anticipate its presence is a matter of importance to prevent risks. The aim of this study is to build a regression model for predicting cyanotoxin presence in the Trasona reservoir (Northern Spain). Some biological parameters related to cyanobacteria and ciantoxin by production are mesasured and the support vector machine (SVM) technique at local scale is applied with success. The results obtained are two-fold. Firstly, the significance of each kind of cyanobacteria on the cyanotoxins presence in the reservoir has been determined, showing the existence of a synergistic behaviour between two species of cyanobacteria. Finally, a predictive model able to forecast the possible presence of cyanotoxins in a short term was obtained.

international journal of nonlinear sciences and numerical simulation

Analysis of Cyanotoxins Presence from Experimental Cyanobacteria Concentrations in the Trasona Reservoir (Northern Spain) Using Support Vector Regression