Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/27213
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dc.date.accessioned2018-02-22T10:57:42Z-
dc.date.available2018-02-22T10:57:42Z-
dc.date.issued2016-
dc.identifier.citationCucco, 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.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/27213-
dc.description.abstractA 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.en_GB
dc.language.isoenen_GB
dc.publisherJellyfish Bloom Symposiumen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectJellyfish bloomsen_GB
dc.subjectFish culture -- Environmental aspectsen_GB
dc.subjectFish culturists -- Mediterranean Regionen_GB
dc.subjectJellyfishes -- Maltaen_GB
dc.subjectMarine ecology -- Mediterranean Seaen_GB
dc.subjectBeaches -- Maltaen_GB
dc.titleNumerical 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)en_GB
dc.typeconferenceObjecten_GB
dc.typeotheren_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.bibliographicCitation.conferencename5th International Jellyfish Bloom Symposiumen_GB
dc.bibliographicCitation.conferenceplaceBarcelona, Spain, 30/05-03/06/2016en_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorCucco, Andrea-
dc.contributor.creatorUmgiesser, Georg-
dc.contributor.creatorDeidun, Alan-
dc.contributor.creatorDrago, Aldo-
dc.contributor.creatorAzzopardi, Joel-
dc.contributor.creatorCutajar, Denis-
dc.contributor.creatorGauci, Adam-
dc.contributor.creatorCanepa, Antonio-
dc.contributor.creatorDaly-Yahia, Ons Kéfi-
dc.contributor.creatorDaly-Yahia, Mohamed Nejib-
dc.contributor.creatorFuentes, Verónica-
Appears in Collections:Scholarly Works - FacSciGeo



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