当前位置: X-MOL 学术Hum. Ecol. Risk Assess. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Analyzing human error contributions to maritime environmental risk in oil/chemical tanker ship
Human and Ecological Risk Assessment ( IF 4.3 ) Pub Date : 2021-05-06 , DOI: 10.1080/10807039.2021.1910011
Muhammet Aydin 1 , Gokhan Camliyurt 2 , Emre Akyuz 3 , Ozcan Arslan 3
Affiliation  

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.



中文翻译:

分析人为错误对油/化学品油轮海上环境风险的贡献

摘要

油/化学品油轮运载大量散装的液化化学品货物。化学品货物可能是危险的,其中大部分是易燃和/或有毒的。它可能对人类生命和海洋环境构成严重危险。风险评估对于提高油/化学品油轮的操作安全和保护环境至关重要。本文旨在对由于泄漏造成的油/化学品船污染进行广泛的风险分析,因为其后果可能对人类和海洋环境造成致命影响。为了实现这一点,使用了故障树分析 (FTA)。在模糊逻辑下计算了FT基本事件(BE)的故障发生概率。扩展的 CREAM(认知可靠性和错误分析方法)方法用于确定 FT 中以人为导向的错误,因为人为错误对各种类型的海上事故的贡献最大。该论文的成果有助于将化学品泄漏污染风险降至最低,并提高油/化学品船货物装卸过程的操作安全性。

更新日期:2021-05-06
down
wechat
bug