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dc.contributor.authorMorell Villalonga, Mariano Nicolás
dc.contributor.authorEspino Infantes, Manuel
dc.contributor.authorGrifoll Colls, Manel
dc.contributor.authorMestres Ridge, Marc
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Civil
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.coverage.spatialeast=1.2233865830810853; north=41.10042716249711; name=Port, Tarragona, Espanya
dc.date.accessioned2020-04-15T17:14:08Z
dc.date.available2020-04-15T17:14:08Z
dc.date.issued2020-04
dc.identifier.citationMorell, M. [et al.]. Environmental management system for the analysis of oil spill risk using probabilistic simulations: application at Tarragona monobuoy. "Journal of marine science and engineering", Abril 2020, vol. 8, núm. 4, p. 277:1-277:14.
dc.identifier.issn2077-1312
dc.identifier.urihttp://hdl.handle.net/2117/183496
dc.description.abstractOil spill accidents during port operations are one of the main hydrocarbon pollution threats for coastal waters. Appropriate environmental risk assessment and pollution events management tools are needed to achieve sustainability and environmental protection in port activity. Recent developments in monitoring techniques and accurate meteo-oceanographic prediction systems have been implemented in many ports, providing tools for environmental management. A novel method based on meteo-oceanographic operational services, in conjunction with Monte Carlo experiments using an oil spill model, is implemented to perform probabilistic maps of potential pollution events. Tarragona port area was chosen as the study case for three reasons: it accommodates a hub of petrochemical industry, the availability of high-resolution wind and water current data, and previous studies at the area offer the possibility to check the results’ accuracy. The interpretation of the impact probability maps reveals a specific pattern explained by the mean hydrodynamic conditions and the energetic north-westerly wind conditions. The impact probability maps may enhance efficiency in the environmental management of port waters and nearby coastal areas, reducing the negative impact of pollutant discharges.
dc.description.sponsorshipThe authors are grateful for the data provided by Puertos del Estado, Repsol Petróleo and Port de Tarragona. This work received funding from SAMOA 2 project under agreement with Puertos del Estado. The authors also want to thank the Secretaria d’Universitats i Recerca del Dpt. d’Economia i Coneixement de la Generalitat de Catalunya (ref. 2014SGR1253), who supported our research group.
dc.language.isospa
dc.rightsAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costes
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Contaminació de l'aigua
dc.subject.lcshOil spills--Risk assessment
dc.subject.otherOil spill
dc.subject.otherEnvironmental risk assessment
dc.subject.otherPollution events management
dc.subject.otherTarragona port
dc.subject.otherSAMOA project
dc.subject.otherMedslik model
dc.subject.otherMonte Carlo method
dc.titleEnvironmental management system for the analysis of oil spill risk using probabilistic simulations: application at Tarragona monobuoy
dc.typeArticle
dc.subject.lemacVessaments de petroli -- Prevenció
dc.contributor.groupUniversitat Politècnica de Catalunya. LIM/UPC - Laboratori d'Enginyeria Marítima
dc.contributor.groupUniversitat Politècnica de Catalunya. BIT - Barcelona Innovative Transportation
dc.identifier.doi10.3390/jmse8040277
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.mdpi.com/2077-1312/8/4/277
dc.rights.accessOpen Access
local.identifier.drac27743832
dc.description.versionPostprint (published version)
local.citation.authorMorell, M.; Espino, M.; Grifoll, M.; Mestres, M.
local.citation.publicationNameJournal of marine science and engineering
local.citation.volume8
local.citation.number4
local.citation.startingPage277:1
local.citation.endingPage277:14


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