Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/27213
Title: Numerical modelling to the rescue : environmental models as a novel tool in simulating the trajectory of jellyfish blooms within coastal ecosystems – a case study from the Maltese Islands (Central Mediterranean)
Authors: Cucco, Andrea
Umgiesser, Georg
Deidun, Alan
Drago, Aldo
Azzopardi, Joel
Cutajar, Denis
Gauci, Adam
Canepa, Antonio
Daly, Ons Kefi
Yahia, Nejib Daly
Fuentes, Veronica
Keywords: Jellyfish blooms
Fish culture -- Environmental aspects
Fish culturists -- Mediterranean Region
Jellyfishes -- Malta
Marine ecology -- Mediterranean Sea
Beaches -- Malta
Issue Date: 2016
Publisher: Jellyfish Bloom Symposium
Citation: Cucco, A., Umgiesser, G., Deidun, A., Drago, A., Azzopardi, J., Cutajar, D.,...Fuentes, V. (2016). Numerical modelling to the rescue: environmental models as a novel tool in simulating the trajectory of jellyfish blooms within coastal ecosystems – a case study from the Maltese Islands (Central Mediterranean). 5th International Jellyfish Bloom Symposium, Barcelona. 125.
Abstract: A numerical tool based on coupled hydrodynamics and environmental models was developed and applied to the coastal areas of the Maltese archipelago, with the aim of implementing a decision-support system for coastal managers. The hydrodynamic component of the system (ROSARIO-SHYFEM) is operational and provides daily a 4 days forecast of the main 3D hydrodynamics fields for the areas covering the Malta-Sicily Channel with a spatial resolution varying between a few km up to 50 m. The main objective of the tool is to predict the trajectory to be assumed by a jellyfish bloom by providing a four-day forecast of the path to be taken by the same bloom. The ROSARIOSHYFEM model was coupled with a particle-tracking Lagrangian model in order to simulate the diffusion of numerical particles, proxy of jellyfish, inside the area of interest, providing a 4-day forecast for the trajectory of a jellyfish bloom. The system was integrated into a Web Application which will allow users to define the position in time and space of a hypothetical bloom found in the Maltese waters, to select the amount of particles to simulate the jellyfish biomass and to choose between blooms of Pelagia noctiluca and Cotylorhiza tuberculata, the two main blooming species in this part of the Mediterranean. The tool is freely available through the MED-JELLYRISK Project website (www.jellyrisk.eu). Full validation of this dispersión forecasting system, through the deployment of water drifters for example, is still ongoing.
URI: https://www.um.edu.mt/library/oar//handle/123456789/27213
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