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Wave Overtopping Analysis and Early Warning Forecast System

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dc.contributor.author Sabino, A. pt_BR
dc.contributor.author Rodrigues, A. pt_BR
dc.contributor.author Araújo, J pt_BR
dc.contributor.author Poseiro, P. pt_BR
dc.contributor.author Reis, M. T. pt_BR
dc.contributor.author Fortes, C. J. E. M. pt_BR
dc.date.accessioned 2014-07-24T17:25:42Z pt_BR
dc.date.accessioned 2014-10-20T13:36:01Z pt_BR
dc.date.accessioned 2017-04-13T09:54:42Z
dc.date.available 2014-07-24T17:25:42Z pt_BR
dc.date.available 2014-10-20T13:36:01Z pt_BR
dc.date.available 2017-04-13T09:54:42Z
dc.date.issued 2014-07 pt_BR
dc.identifier.other LNCS 8579 pt_BR
dc.identifier.uri https://repositorio.lnec.pt/jspui/handle/123456789/1006298
dc.description.abstract Structures and zones of interest in coastal areas are exposed to wave overtopping events. The consequences associated with those events have a significant impact on human safety, the environment and affected business areas. This paper presents the overtopping forecast, warning and data analysis component of the HIDRALERTA system. The goal of this system is to provide a platform for warning dissemination, while managing the information generated by the risk forecast methodology. Alongside the warning dissemination, the system is concerned with the analysis of previous forecasts and it is designed to account for variability between different zones of interest. Our discussion includes an analysis on the variability expected by the system, a data model for sensor and interpolation data, and the system’s user interface, which includes a geo-referenced time-series data analysis tool. We present a case study for Praia da Vit´oria port, Azores, Portugal. pt_BR
dc.language.iso eng pt_BR
dc.rights openAccess pt_BR
dc.subject Risk management pt_BR
dc.subject Warning system pt_BR
dc.subject Geographic information systems pt_BR
dc.title Wave Overtopping Analysis and Early Warning Forecast System pt_BR
dc.type conferenceObject pt_BR
dc.description.figures 9 pt_BR
dc.description.tables 2 pt_BR
dc.description.pages 267-282pp pt_BR
dc.identifier.seminario ICCSA 2014, 14th International Conference on Computational Science and Its Applications pt_BR
dc.identifier.local Universidade do Minho, Guimarães pt_BR
dc.description.sector DHA/NPE pt_BR
dc.description.year 2014 pt_BR
dc.description.data 30 junho a 3 de julho pt_BR


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