RT Journal Article
T1 Simulation-driven engineering for the management of harmful algal and cyanobacterial blooms
A1 Risco Martín, José Luis
A1 Esteban San Román, Segundo
A1 Chacón Sombría, Jesús
A1 Carazo Barbero, Gonzalo
A1 Besada Portas, Eva
A1 López Orozco, José Antonio
AB Harmful 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.
PB SAGE
SN 0037-5497
YR 2023
FD 2023-07-04
LK https://hdl.handle.net/20.500.14352/116544
UL https://hdl.handle.net/20.500.14352/116544
LA eng
NO 1. 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:10.1177/00375497231184246
NO Comunidad Autónoma de Madrid
NO Ministerio de Ciencia e Innovación (España)
NO Agencia Española de Investigación
NO European Comission
DS Docta Complutense
RD 8 abr 2025