Daithi O'Murchu Marine Research Station, Bantry, Co. Cork, Ireland.
Marine Institute, Rinville, Oranmore, Co. Galway, Ireland.
Harmful Algae. 2016 Mar;53:160-166. doi: 10.1016/j.hal.2015.11.006. Epub 2016 May 3.
Reasons for the emergent interest in HABs are abundant, including concerns associated with human health, adverse effects on biological resources, economic losses attributed to recreation, tourism and seafood related industries, and the cost of maintaining public advisory services and monitoring programs for shellfish toxins and water quality. The impact of HABs can potentially be mitigated by early warning of their development. In this regard the project ASIMUTH (Applied Simulations and Integrated Modelling for the Understanding of Toxic and Harmful algal blooms) was borne in order to develop short term HAB alert systems for Atlantic Europe. This was achieved using information on the most current marine conditions (weather, water characteristics, toxicity, harmful algal presence etc.) combined with high resolution local numerical predictions. This integrated, multidisciplinary, trans-boundary approach to the study of HABs developed during ASIMUTH led to a better understanding of the physical, chemical and ecological factors controlling these blooms, as well as their impact on human activities. The outcome was an appropriate alert system for an effective management of areas that are usually associated with HAB events and where these episodes may have a more significant negative impact on human activities. Specifically for the aquaculture industry, the information provided enabled farmers to adapt their working practices in time to prevent mortalities in finfish farms and/or manage their shellfish harvest more effectively. This paper summarises the modelling and alert developments generated by the ASIMUTH project.
赤潮引起人们关注的原因有很多,包括与人类健康有关的问题、对生物资源的不利影响、休闲娱乐、旅游和与海鲜相关产业的经济损失,以及维护贝类毒素和水质公共咨询服务和监测计划的成本。赤潮的影响可以通过对其发展的早期预警来减轻。在这方面,ASIMUTH 项目(用于了解有毒和有害藻类水华的应用模拟和综合建模)的诞生是为了为大西洋欧洲开发短期赤潮预警系统。这是通过结合最新的海洋条件信息(天气、水特性、毒性、有害藻类存在等)和高分辨率局部数值预测来实现的。ASIMUTH 期间开发的这种综合的、多学科的、跨界的赤潮研究方法,使人们更好地了解控制这些水华的物理、化学和生态因素,以及它们对人类活动的影响。其结果是为通常与赤潮事件相关的区域提供了一个适当的预警系统,以便对这些事件对人类活动可能产生的更重大负面影响进行有效的管理。具体来说,对于水产养殖业,提供的信息使农民能够及时调整其工作实践,以防止鱼类养殖场的死亡率,并/或更有效地管理其贝类收获。本文总结了 ASIMUTH 项目生成的建模和预警发展。