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Event Tree Analysis of Marine Accidents in Bangladesh

机译:孟加拉国海洋事故的事件树分析

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The frequency of marine accidents in Bangladesh is observed to be one of the highest in the world. Maritime disasters in the country took more than 10,000 lives in past three decades. Each time an accident occurs with terrible loss of lives, the issue goes viral through newspapers and social media for several days, and then it is simply consigned to oblivion. Most of the records kept of marine accidents are limited to unsubstantiated news reports with a few exceptions marked in a handful of accidents that were subjected to detailed reporting conducted by maritime authorities. Several research works have been carried out to point out the core reasons behind accidents. But there was a demand of time to find out and represent the sequence of events leading to an accident with the help of a tool more effective than those used in earlier papers. The tool used in this paper is event tree, showing how a single factor, when coupled with other factors or not, is likely to lead to an accident. Despite being a widely-used tool for accident analysis, event tree has been applied for the first time with quantitative study in analyzing maritime accidents in Bangladesh. The research work didn't end up using event tree as a tool only, but it also conducted a probabilistic analysis. In this research work, the factors, most likely to lead to a disaster, has been identified and then assessed with the data of previous accidents. The probabilistic analysis yielded to the finding that the number of accidents can be reduced considerably if the problem of poor visibility, when the vessel is overloaded, can be solved. The event tree showing the sequence of events will help future researchers and system designers to find out and eliminate the factors contributing to marine accidents and eventually curb the very high frequency of disasters.
机译:孟加拉国海洋事故的频率被认为是世界上最高的频率。在过去的三十年中,该国的海事灾害在过去的三十年中占有10,000多名生命。每次发生一次意外的生命损失时,问题都会通过报纸和社交媒体进行病毒,然后只会托运遗忘。海洋事故的大多数记录仅限于未经证实的新闻报告,其中一些例外有一些例外,这些报告是少数事故,这些事故是由海事署进行详细报告的少数事故。已经进行了几项研究作品,以指出事故背后的核心原因。但是有需要时间来消除并代表借助于更有效的工具的事故,而不是早期论文中使用的工具的帮助。本文中使用的工具是事件树,显示单个因素,当与其他因素耦合时,可能会导致事故。尽管是发生广泛使用的事故分析工具,但事件树首次应用于分析孟加拉国海事事故的定量研究。研究工作并没有仅使用事件树作为工具,但它也进行了概率分析。在这项研究工作中,已经确定了最有可能导致灾难的因素,然后通过以前事故的数据进行评估。概率分析产生的发现,如果可见性差的问题,当容器过载时,就可以大大降低事故的数量,可以解决。显示事件序列的事件树将有助于未来的研究人员和系统设计师来了解并消除为海洋事故产生有助于的因素,并最终遏制了非常高的灾害频率。

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