The ecosystems in urban lakes are very vulnerable to human pressure because of their specific physical functioning, characterized by intermittent thermal stratification and low flow speeds. Furthermore, the high intake of nutrients in these environments encourages blooms of phytoplankton, including toxic cyanobacteria, disrupting their use and causing health problems (Catherine et al., 2008). This work focuses on the implementation of a predictive model of cyanobacteria blooms in urban lakes. It is part of a project whose objective is to develop a monitoring and warning system, in real-time, of phytoplankton blooms in freshwater ecosystems.
