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ORIGINAL RESEARCH article
Front. Mar. Sci.
Sec. Ocean Observation
Volume 11 - 2024 |
doi: 10.3389/fmars.2024.1457272
This article is part of the Research Topic Demonstrating Observation Impacts for the Ocean and Coupled Prediction View all 16 articles
Positive Data Circulation Established by Kyushu Smart Fisheries (QSF) Team
Provisionally accepted- 1 Research Institute for Applied Mechanics, Kyushu University, Fukuoka, Japan
- 2 Faculty of Fisheries, Nagasaki University, Nagasaki, Nagasaki, Japan
- 3 Other, Karatsu, Japan
- 4 Independent researcher, Fukuoka, Japan
- 5 Seikai National Fisheries Research Institute, Ishigaki, Japan
- 6 Center for Development of Information Technology, IDEA Consultants, Inc., Takasaki, Japan
- 7 Product Development Department, JFE Advantech Co., Ltd., Nishinomiya, Japan
- 8 Japan Fisheries Information Service Center (JAFIC), Tokyo, Japan
- 9 Research & Development Department, Furuno Electric Co., Ltd., Nishinomiya, Japan
Subsurface observations in coastal and shelf seas remain insufficient compared to profiling measurements in open oceans. To address this gap, we have developed a system that involves coastal fishermen in conducting in-situ measurements. By assimilating this observation data in real-time, we can provide valuable feedback on ocean predictions to support their fishing activities. We adapted the traditional full-scale conductivity-temperature-depth (CTD) instrument into a more conventional model dedicated to small-scale fisheries. This simple and smart CTD device allows Bluetooth communication with Android devices. Although its accuracy and pressure resistance were reduced to make it affordable, it remains effective for our data assimilation purpose. Along with acoustic current data, the accuracy of coastal ocean prediction models, particularly for velocity components, can be significantly increased. Using the intuitive and user-friendly forecasting app, cooperating fishermen have been able to reduce fuel usage, working hours, and gear damages, thereby improving profitability and working conditions. This app has become an indispensable operational tool for fishermen in the Kyushu region, motivating them to actively participate in coastal ocean observations.
Keywords: fishing vessel observation, smart CTD device, coastal ocean prediction model, data assimilation, forecasting app, fisher profitability
Received: 30 Jun 2024; Accepted: 22 Nov 2024.
Copyright: © 2024 Hirose, Takikawa, Ito, Nagamoto, Takagi, Kokubo, Kimura, Yabuki and Hazama. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Naoki Hirose, Research Institute for Applied Mechanics, Kyushu University, Fukuoka, Japan
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