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dc.contributor.authorMoroni, Davide
dc.contributor.authorPieri, Gabriele
dc.contributor.authorTampucci, Marco
dc.date.accessioned2020-05-02T14:40:13Z
dc.date.available2020-05-02T14:40:13Z
dc.date.issued2019
dc.identifier.citationMoroni,; Pieri, G. and Tampucci, M. (2019) Environmental Decision Support Systems for Monitoring Small Scale Oil Spills: Existing Solutions, Best Practices and Current Challenges. Journal of Marine Science and Engineering. 7:19, 17pp. DOI: https://doi.org/10.3390/jmse7010019en_US
dc.identifier.urihttp://hdl.handle.net/11329/1319
dc.identifier.urihttp://dx.doi.org/10.25607/OBP-827
dc.description.abstractIn recent years, large oil spills have received widespread media attention, while small and micro oil spills are usually only acknowledged by the authorities and local citizens who are directly or indirectly affected by these pollution events. However, small oil spills represent the vast majority of oil pollution events. In this paper, multiple oil spill typologies are introduced, and existing frameworks and methods used as best practices for facing them are reviewed and discussed. Specific tools based on information and communication technologies are then presented, considering in particular those which can be used as integrated frameworks for the specific challenges of the environmental monitoring of smaller oil spills. Finally, a prototype case study actually designed and implemented for the management of existing monitoring resources is reported. This case study helps improve the discussion over the actual challenges of early detection and support to the responsible parties and stakeholders in charge of intervention and remediation operations.
dc.language.isoenen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherMarine information systemsen_US
dc.subject.otherEnvironmental monitoringen_US
dc.subject.otherDecision support systemsen_US
dc.subject.otherOil spillsen_US
dc.subject.otherOil pollutionen_US
dc.titleEnvironmental Decision Support Systems for Monitoring Small Scale Oil Spills: Existing Solutions, Best Practices and Current Challenges.en_US
dc.typeJournal Contributionen_US
dc.description.refereedRefereeden_US
dc.format.pagerange17pp.en_US
dc.identifier.doihttps://doi.org/10.3390/jmse7010019
dc.subject.parameterDisciplineParameter Discipline::Environment::Anthropogenic contaminationen_US
dc.description.abstractOtherLangIn recent years, large oil spills have received widespread media attention, while small and micro oil spills are usually only acknowledged by the authorities and local citizens who are directly or indirectly affected by these pollution events. However, small oil spills represent the vast majority of oil pollution events. In this paper, multiple oil spill typologies are introduced, and existing frameworks and methods used as best practices for facing them are reviewed and discussed. Specific tools based on information and communication technologies are then presented, considering in particular those which can be used as integrated frameworks for the specific challenges of the environmental monitoring of smaller oil spills. Finally, a prototype case study actually designed and implemented for the management of existing monitoring resources is reported. This case study helps improve the discussion over the actual challenges of early detection and support to the responsible parties and stakeholders in charge of intervention and remediation operations.en_US
dc.bibliographicCitation.titleJournal of Marine Science and Engineeringen_US
dc.bibliographicCitation.volume7en_US
dc.bibliographicCitation.issueArticle 19en_US
dc.description.sdg14.1en_US
dc.description.maturitylevelTRL 6 System/subsystem model or prototyping demonstration in a relevant end-to-end environment (ground or space)en_US
dc.description.bptypeManual (incl. handbook, guide, cookbook etc)en_US
obps.contact.contactemailGabriele.Pieri@isti.cnr.it
obps.resourceurl.publisherwww.mdpi.com/journal/jmseen_US


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International