Please use this identifier to cite or link to this item: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1018183
Title: New developments in the Praia da Vitória Coastal Bay and Harbor Early Warning System
Authors: Pinheiro, L.
Zózimo, A. C.
Fortes, C. J. E. M.
Keywords: Early warning system;Neural networks,;Flood risk;Navigation
Issue Date: 2-Feb-2023
Publisher: COSE
Citation: DOI:10.53256/COSE_230201
Abstract: The 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.
URI: http://dspace2.lnec.pt:8080/jspui/handle/123456789/1018183
http://repositorio.lnec.pt:8080/jspui/handle/123456789/1018183
Appears in Collections:DHA/NPE - Comunicações a congressos e artigos de revista

Files in This Item:
File Description SizeFormat 
AI14_COSE_VOL.04-ART01.pdf3 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.