Please use this identifier to cite or link to this item: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1018183
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dc.contributor.authorPinheiro, L.pt_BR
dc.contributor.authorZózimo, A. C.pt_BR
dc.contributor.authorFortes, C. J. E. M.pt_BR
dc.date.accessioned2025-01-20T10:36:36Zpt_BR
dc.date.accessioned2025-04-16T13:35:49Z-
dc.date.available2025-01-20T10:36:36Zpt_BR
dc.date.available2025-04-16T13:35:49Z-
dc.date.issued2023-02-02pt_BR
dc.identifier.citationDOI:10.53256/COSE_230201pt_BR
dc.identifier.urihttp://dspace2.lnec.pt:8080/jspui/handle/123456789/1018183pt_BR
dc.identifier.urihttp://repositorio.lnec.pt:8080/jspui/handle/123456789/1018183-
dc.description.abstractThe disruption of port operations, whether due to technical issues or external factors, can have a significant impact on the port’s overall competitiveness and economic viability. The HIDRALERTA Early Warning System is operational on a daily basis, issuing emergency alerts concerning wave overtopping, ship navigation, and operational constraints for seven ports and coastal zones in mainland Portugal, as well as three additional ports in the Azores Islands. The system is designed to enhance port resilience by mitigating potential risks through improved planning and swift emergency responses. The system employs a suite of numerical models that utilise forecasts of regional wind and sea-wave characteristics offshore, along with astronomical tidal data, as inputs. These numerical models generate estimates of wave and wind characteristics at both regional and local scales. Furthermore, the system computes the ship’s response to these wave and wind forces using a hydrodynamic 3D model and a motion equation solver. Currently. the HIDRALERTA system is being extended to incorporate new methodologies. This paper presents a case study to demonstrate the aforementioned developments at the port of Praia da Vitória, situated on Terceira Island, and its adjacent coastal bay. A notable advancement is the use of artificial neural network tools to enhance wave predictions at certain locations where extensive historical data are available.pt_BR
dc.language.isoengpt_BR
dc.publisherCOSEpt_BR
dc.rightsopenAccesspt_BR
dc.subjectEarly warning systempt_BR
dc.subjectNeural networks,pt_BR
dc.subjectFlood riskpt_BR
dc.subjectNavigationpt_BR
dc.titleNew developments in the Praia da Vitória Coastal Bay and Harbor Early Warning Systempt_BR
dc.typearticlept_BR
dc.description.sectorDHA/NPEpt_BR
dc.contributor.peer-reviewedNAOpt_BR
dc.contributor.academicresearchersNAOpt_BR
dc.contributor.arquivoSIMpt_BR
Appears in Collections:DHA/NPE - Comunicações a congressos e artigos de revista

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