期刊
HUMAN AND ECOLOGICAL RISK ASSESSMENT
卷 27, 期 7, 页码 1838-1859出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/10807039.2021.1910011
关键词
Risk analysis; chemical tanker; fault tree; CREAM; fuzzy logic
This paper conducts an extensive risk analysis for oil/chemical tanker pollution due to leakage, using fault tree analysis and fuzzy logic. By identifying human errors, the paper aims to minimize chemical leakage pollution risks and improve operational safety.
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.
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