Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for Fisheries

IF 2.6 3区地球科学 Q2 OCEANOGRAPHY

Oceanologia Pub Date : 2024-04-01 DOI:10.1016/j.oceano.2024.01.004

Lidia Dzierzbicka-Głowacka , Maciej Janecki , Dawid Dybowski , Artur Nowicki , Agata Zaborska , Piotr Pieckiel , Michał Wójcik , Tomasz Kuczyński , Jacek Wittbrodt

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引用次数: 0

Abstract

Fast access to expert knowledge is very valuable, especially in the context of decision-making. Fishermen can use this knowledge to diagnose hydrological and hydrochemical conditions in which fish stocks should be the most abundant. In response to this need, a digital service has been developed. It is a service created within the FindFISH project, which provides the results of all developed models: hydrodynamic, biochemical, and Fish – for selected commercially caught fish species (herring, sprats, cod, and flounder). Our research revealed that the FindFISH service can enhance fishing efficiency and quality by approximately 40%, significantly increasing expected profits. In practical applications, we observed a 50% to 70% concordance between the fishing grounds recorded by fishermen and those identified by the FindFISH Platform. The website runs dynamically in operational mode, allowing visualization of forecasts in the form of maps, time series, spatial data, and tables.

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知识转让平台 FindFISH - 格但斯克湾渔业海洋环境数值预报系统

快速获取专家知识非常有价值，尤其是在决策方面。渔民可以利用这些知识来诊断鱼类资源最丰富的水文和水化学条件。为满足这一需求，我们开发了一项数字服务。它是在 "FindFISH "项目内创建的一项服务，为选定的商业捕捞鱼类物种（鲱鱼、鲱鱼、鳕鱼和比目鱼）提供所有已开发模型的结果：水动力模型、生化模型和鱼类模型。我们的研究表明，FindFISH 服务可将捕鱼效率和质量提高约 40%，显著增加预期利润。在实际应用中，我们观察到渔民记录的渔场与 FindFISH 平台确定的渔场之间有 50% 到 70% 的一致性。该网站以运行模式动态运行，允许以地图、时间序列、空间数据和表格的形式将预测可视化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Oceanologia 地学-海洋学

CiteScore

5.30

自引率

6.90%

发文量

审稿时长

146 days

期刊介绍： Oceanologia is an international journal that publishes results of original research in the field of marine sciences with emphasis on the European seas.