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

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials 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
{"title":"Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for Fisheries","authors":"Lidia Dzierzbicka-Głowacka ,&nbsp;Maciej Janecki ,&nbsp;Dawid Dybowski ,&nbsp;Artur Nowicki ,&nbsp;Agata Zaborska ,&nbsp;Piotr Pieckiel ,&nbsp;Michał Wójcik ,&nbsp;Tomasz Kuczyński ,&nbsp;Jacek Wittbrodt","doi":"10.1016/j.oceano.2024.01.004","DOIUrl":null,"url":null,"abstract":"<div><p>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 <em>Fish</em> – 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.</p></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0078323424000058/pdfft?md5=d7bde2b8677dbee4dab9ad5c90e91011&pid=1-s2.0-S0078323424000058-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0078323424000058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
期刊最新文献
A Systematic Review of Sleep Disturbance in Idiopathic Intracranial Hypertension. Advancing Patient Education in Idiopathic Intracranial Hypertension: The Promise of Large Language Models. Anti-Myelin-Associated Glycoprotein Neuropathy: Recent Developments. Approach to Managing the Initial Presentation of Multiple Sclerosis: A Worldwide Practice Survey. Association Between LACE+ Index Risk Category and 90-Day Mortality After Stroke.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1