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dc.contributor.authorSezer, Şükrü İlke
dc.contributor.authorCeylan, Bulut Ozan
dc.contributor.authorAkyüz, Emre
dc.contributor.authorGardoni, Paolo
dc.date.accessioned2025-01-22T12:38:14Z
dc.date.available2025-01-22T12:38:14Z
dc.date.issued2024en_US
dc.identifier.citationSezer, S.I., Ceylan, B.O., Akyuz, E., Gardoni, P. (2024). Improved Z-number and fault tree analysis to predict the risk of air pollution due to ship boiler operation. Marine Pollution Bulletin, 206, art. no. 116801. https://doi.org/10.1016/j.marpolbul.2024.116801en_US
dc.identifier.issn0025-326X
dc.identifier.issn1879-3363
dc.identifier.urihttps://doi.org/10.1016/j.marpolbul.2024.116801
dc.identifier.urihttps://hdl.handle.net/20.500.12508/3195
dc.description.abstractShips present a significant source of air pollution, contributing to environmental degradation and posing health risks. Boilers are a significant part of the vessels in which the water is heated to evaporate and generate steam. The boilers emit pollutants such as hazardous air pollutants (HAPs), particle pollution, and volatile organic compounds (VOC). This paper conducts an extended risk analysis for air pollution due to boiler operation on ships. An improved Z-numbers theory and Fault Tree Analysis (FTA) are adopted to predict risk. Whilst improved Z-number theory is capable of handling uncertainties inherent in risk assessment, the FTA presents systematically the causal relationships among various factors contributing to the risk of air pollution on ships. The findings show that the failure probability of air pollution during ship boiler operation is 2.08E-05 and BE-12 is the most significant event. Results provide valuable data to maritime stakeholders in fostering environmentally sustainable practices.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.isversionof10.1016/j.marpolbul.2024.116801en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFault treeen_US
dc.subjectImproved Z-numbersen_US
dc.subjectMarine boileren_US
dc.subjectMarine environmenten_US
dc.subjectRisk of air pollutionen_US
dc.subject.classificationEmission Control
dc.subject.classificationAir Pollution
dc.subject.classificationAtmospheric Aerosol
dc.subject.classificationEnvironmental Sciences
dc.subject.classificationMarine & Freshwater Biology
dc.subject.classificationElectrical Engineering, Electronics & Computer Science - Safety & Maintenance - Safety Climate
dc.subject.otherAir pollutants
dc.subject.otherAir pollution
dc.subject.otherEnvironmental monitoring
dc.subject.otherRisk assessment
dc.subject.otherShips
dc.subject.otherVolatile organic compounds
dc.subject.otherAir pollution
dc.subject.otherFault tree analysis
dc.subject.otherHealth risks
dc.subject.otherRisk analysis
dc.subject.otherRisk assessment
dc.subject.otherSustainable development
dc.subject.otherVolatile organic compounds
dc.subject.otherBoiler operations
dc.subject.otherFault tree analyses (FTA)
dc.subject.otherFault-trees
dc.subject.otherHazardous air pollutants; Improved Z-number
dc.subject.other
dc.subject.otherMarine environment
dc.subject.otherParticle pollution
dc.subject.otherPollutant particles
dc.subject.otherRisk of air pollution
dc.subject.otherUncertainty
dc.titleImproved Z-number and fault tree analysis to predict the risk of air pollution due to ship boiler operationen_US
dc.typearticleen_US
dc.relation.journalMarine Pollution Bulletinen_US
dc.contributor.departmentBarbaros Hayrettin Gemi İnşaatı ve Denizcilik Fakültesi -- Deniz Ulaştırma İşletme Mühendisliği Bölümüen_US
dc.identifier.volume206en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.isteauthorSezer, Şükrü İlke
dc.relation.indexWeb of Science - Scopus - PubMeden_US
dc.relation.indexWeb of Science Core Collection - Science Citation Index Expanded


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