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Improved Z-number and fault tree analysis to predict the risk of air pollution due to ship boiler operation

  • Sukru Ilke Sezer*
  • , Bulut Ozan Ceylan
  • , Emre Akyuz
  • , Paolo Gardoni
  • *Corresponding author for this work
  • Iskenderun Technical University
  • Bandırma Onyedi Eylül University
  • University of Illinois at Urbana-Champaign

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Ships 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.

Original languageEnglish
Article number116801
JournalMarine Pollution Bulletin
Volume206
DOIs
Publication statusPublished - Sept 2024

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Ltd

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Fault tree
  • Improved Z-numbers
  • Marine boiler
  • Marine environment
  • Risk of air pollution

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