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dc.contributor.authorSande, José
dc.contributor.authorFiguero, A.
dc.contributor.authorTarrío-Saavedra, Javier
dc.contributor.authorPeña González, Enrique
dc.contributor.authorAlvarellos, Alberto
dc.contributor.authorRabuñal, Juan R.
dc.date.accessioned2024-01-12T13:40:41Z
dc.date.available2024-01-12T13:40:41Z
dc.date.issued2019-09
dc.identifier.citationSande, Figuero, Tarrío-Saavedra, Peña, Alvarellos, y Rabuñal, «Application of an Analytic Methodology to Estimate the Movements of Moored Vessels Based on Forecast Data», Water, vol. 11, n.o 9, p. 1841, sep. 2019, doi: 10.3390/w11091841.es_ES
dc.identifier.issn2073-4441
dc.identifier.urihttp://hdl.handle.net/2183/34881
dc.description.abstract[Abstract]: A port’s operating capacity and the economic performance of its concessions are intimately related to the quality of its operational conditions. This paper presents an analytical methodology for estimating the movements of a moored vessel based on field measurements and forecast data, specifically including ship dimensions and meteorological and maritime conditions. The methodology was tested and validated in the Outer Port of Punta Langosteira, A Coruña, Spain. It was determined that the significant wave height outside the port, and the ratio of the vessel’s length divided by its beam (L/B), are the variables that most influence movements. Furthermore, heave and surge are the movements with a better value of the coefficient of determination (R2 values of 0.71 and 0.67, respectively), the sway (R2 = 0.30) and roll (R2 = 0.27) being the worst when using the available forecast variables of the Outer Port of Punta Langosteira. Despite their low R2 values, sway and roll models are able to estimate the main trends of these movements. The obtained estimators provide good predictions with assumable error values (root mean square error—RMSE and mean absolute error—MAE), showing their potential application as a predictive tool. Finally, as a consequence, the A Coruña Port Authority has included the results of the methodology in its port management system allowing them to predict moored vessel behavior in the port.es_ES
dc.description.sponsorshipThe authors gratefully acknowledge the financial support of the Spanish Ministry of Economy, Industry and Competitiveness, R & D National Plan, within the project BIA2017-86738-R. In addition, special thanks to the Port Authority of A Coruña, Spain.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/BIA2017-87066-R/ES/ESTUDIO COMBINADO MEDIANTE TECNICAS PETROFISICAS Y EXPERIMENTALES DE PROCESOS TERMO-HIDRO-MECANO-QUIMICOS (THMC) ACOPLADOS A PARTIR ROCAS POROSAS SINTETICASes_ES
dc.relation.urihttps://doi.org/10.3390/w11091841es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectIn-situ observationses_ES
dc.subjectPort operationes_ES
dc.subjectTransfer functionses_ES
dc.subjectMeteorological and ocean conditionses_ES
dc.subjectVessel dimensionses_ES
dc.titleApplication of an Analytic Methodology to Estimate the Movements of Moored Vessels Based on Forecast Dataes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleWateres_ES
UDC.volume11es_ES
UDC.issue9es_ES
UDC.startPage1841es_ES
UDC.coleccionInvestigación
UDC.departamentoEnxeñaría Civil
UDC.departamentoCiencias da Computación e Tecnoloxías da Información
UDC.grupoInvEnxeñaría da Auga e do Medio Ambiente (GEAMA)
UDC.grupoInvRedes de Neuronas Artificiais e Sistemas Adaptativos -Informática Médica e Diagnóstico Radiolóxico (RNASA - IMEDIR)
UDC.institutoCentroCITEEC - Centro de Innovación Tecnolóxica en Edificación e Enxeñaría Civil


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