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Scenario analysis of fish escapes in Norwegian aquaculture for implementation of barrier management and improved learning from accidents
Marine Policy ( IF 4.315 ) Pub Date : 2022-07-16 , DOI: 10.1016/j.marpol.2022.105208
Xue Yang, Ingunn Marie Holmen, Ingrid Bouwer Utne

Learning from accidents is decisive for establishing barriers to prevent future accidents and ensuring safety in socio-technical systems. Farmed fish escape is a major concern in the aquaculture industry and there is limited understanding of the accident scenarios involving fish escape. Hence, the systematic analysis of information and data about these types of near accidents and accidents may reveal contributing causes. The objective of this article is to present data and scenarios based on the investigation of 745 fish escape accidents and near accidents reported to the Norwegian Directorate of Fisheries from January 2006 to August 2019. The aim is to derive the direct and underlying causes and develop generic scenarios for fish escape, which can be used for improved reporting of near accidents and accidents. The paper discusses the limitations of current reporting systems, suggests a new categorization scheme for the Directorate of Fisheries to enhance the industry and authorities’ learning from fish escape events, and incorporates new types of fish farms emerging in the industry. Further, the study results can support barrier management and emergency planning, since they help understand the causes of fish escapes. This may be used for analyzing whether existing accident prevention strategies and barriers are sufficient or if additional barriers need to be implemented by fish farm operators.



中文翻译:

挪威水产养殖中鱼类逃逸的情景分析,用于实施屏障管理和改进事故学习

从事故中学习对于建立障碍以防止未来事故和确保社会技术系统的安全具有决定性意义。养殖鱼类逃逸是水产养殖业的一个主要问题,对涉及鱼类逃逸的事故情景了解有限。因此,对有关这些类型的附近事故和事故的信息和数据的系统分析可能会揭示促成原因。本文的目的是根据对 2006 年 1 月至 2019 年 8 月向挪威渔业局报告的 745 起鱼类逃逸事故和附近事故的调查提供数据和情景。目的是推导出直接和根本原因并开发通用的鱼逃逸场景,可用于改进附近事故和事故的报告。本文讨论了当前报告系统的局限性,为渔业局提出了一种新的分类方案,以加强行业和当局从鱼类逃逸事件中的学习,并纳入行业中出现的新型养鱼场。此外,研究结果可以支持屏障管理和应急计划,因为它们有助于了解鱼类逃逸的原因。这可用于分析现有的事故预防策略和障碍是否足够,或者养鱼场经营者是否需要实施额外的障碍。研究结果可以支持屏障管理和应急计划,因为它们有助于了解鱼类逃逸的原因。这可用于分析现有的事故预防策略和障碍是否足够,或者养鱼场经营者是否需要实施额外的障碍。研究结果可以支持屏障管理和应急计划,因为它们有助于了解鱼类逃逸的原因。这可用于分析现有的事故预防策略和障碍是否足够,或者养鱼场经营者是否需要实施额外的障碍。

更新日期:2022-07-16
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