Analyzing human error contributions to maritime environmental risk in oil/chemical tanker ship


AYDIN M., Camliyurt G., Akyüz E., Arslan Ö.

HUMAN AND ECOLOGICAL RISK ASSESSMENT, vol.27, no.7, pp.1838-1859, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 27 Issue: 7
  • Publication Date: 2021
  • Doi Number: 10.1080/10807039.2021.1910011
  • Journal Name: HUMAN AND ECOLOGICAL RISK ASSESSMENT
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Chemical Abstracts Core, Communication Abstracts, Environment Index, Food Science & Technology Abstracts, Greenfile, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Page Numbers: pp.1838-1859
  • Keywords: Risk analysis, chemical tanker, fault tree, CREAM, fuzzy logic, FAULT-TREE ANALYSIS, OIL, ACCIDENT, MODEL, QUANTIFICATION, PROBABILITY, COLLISION, LEAKAGE, CREAM, SPILL
  • Recep Tayyip Erdoğan University Affiliated: Yes

Abstract

Oil/chemical tanker ships carry a large volume of liquefied chemical cargoes in bulk condition. Chemical cargoes can be hazardous and most of them being flammable and/or toxic. It may pose acute dangers for human life and maritime environment. Risk assessment is of paramount importance to enhance operational safety and to protect environment for oil/chemical tanker ships. This paper aims at conducting an extensive risk analysis for oil/chemical tanker pollution due to leakage since the consequences can be fatal for human and marine environment. To accomplish this, fault tree analysis (FTA) is used. The failure occurrence probabilities of basic event (BE) of FT are calculated under fuzzy logic. The extended CREAM (Cognitive reliability and error analysis method) approach is used to determine human-oriented errors in FT since human error contributes the most to various types of maritime accidents. The outcomes of the paper can be helpful to minimize chemical leakage pollution risks and to improve operational safety in cargo loading/discharging process in oil/chemical tankers.