Risco Martín, José LuisEsteban San Román, SegundoChacón Sombría, JesúsCarazo Barbero, GonzaloBesada Portas, EvaLópez Orozco, José Antonio2025-01-282025-01-282023-07-041. Risco-Martín JL, Esteban S, Chacón J, Carazo-Barbero G, Besada-Portas E, López-Orozco JA. Simulation-driven engineering for the management of harmful algal and cyanobacterial blooms. SIMULATION. 2023;99(10):1041-1055. doi:10.1177/003754972311842460037-549710.1177/00375497231184246https://hdl.handle.net/20.500.14352/116544Harmful algal and cyanobacterial blooms (HABs), occurring in inland and maritime waters, pose threats to natural environments by producing toxins that affect human and animal health. In the past, HABs have been assessed mainly by the manual collection and subsequent analysis of water samples and occasionally by automatic instruments that acquire information from fixed locations. These procedures do not provide data with the desirable spatial and temporal resolution to anticipate the formation of HABs. Hence, new tools and technologies are needed to efficiently detect, characterize and respond to HABs that threaten water quality. It is essential nowadays when the world’s water supply is under tremendous pressure because of climate change, overexploitation, and pollution. This paper introduces Discrete Event System Specification-BLOOM, a novel framework for real-time monitoring and management of HABs. Its purpose is to support high-performance hazard detection with model-based system engineering and cyber-physical systems infrastructure for dynamic environments.engjournal article1741-3133https://doi.org/10.1177/00375497231184246https://journals.sagepub.com/doi/10.1177/00375497231184246restricted access004.8007.52681.5Harmful algal and cyanobacterial bloomModelling and simulationCyber-physical systemInternet of thingsDigital twinDiscrete event system expecificationInteligencia artificial (Informática)RobóticaFísica-Modelos matemáticos3311.01 Tecnología de la Automatización3311.02 Ingeniería de Control2508.05 Hidrobiología