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      Dynamic Simulation of Pelagic Longline Retrieval

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          Abstract

          To improve fishing gear efficiency, it is important to understand the interactions among sea current, fishing vessel, line hauler, and catches during pelagic longline gear retrieval. In this study, fishing gear configuration parameters, operational parameters, and 3D ocean current data were collected from Indian Ocean. Dynamic models of pelagic longline gear retrieval were built using the lumped mass method and solved using the Euler-Trapezoidal method. From the results, the pulling force of line hauler exerted on the gear was 2800–3600 N. There were no significant differences ( P > 0.05) between the time of the hook retrieval measured at sea and that obtained from the simulation. The absolute values of the movement velocity at representative nodes along the X, Y, and Z axes were 0.01–25.5 m s −1. These results suggest that the dynamic model of longline fishing gear retrieval can be used to analyze the interactions among sea current, fishing vessel, line hauler, longline gear, and catches, and to acquire the basic data for optimizing the design of the line hauler. Moreover, the model can serve as a reference to study the hydrodynamic performance of other fishing gears during the hauling process.

          Author and article information

          Journal
          JOUC
          Journal of Ocean University of China
          Science Press and Springer (China )
          1672-5182
          07 May 2019
          01 April 2019
          : 18
          : 2
          : 455-466
          Affiliations
          [1] 1 College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
          [2] 2 National Engineering Research Centre for Oceanic Fisheries, Shanghai Ocean University, Shanghai 201306, China
          [3] 3 Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources (Shanghai Ocean University), Ministry of Education, Shanghai 201306, China
          [4] 4 Collaboration Innovation Center for National Distant-Water Fisheries, Shanghai 201306, China
          Author notes
          *Corresponding author: SONG Liming
          Article
          s11802-019-3990-7
          10.1007/s11802-019-3990-7
          6286cbe6-d6aa-4983-9eb5-a89ca3ecd330
          Copyright © Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2019.

          The copyright to this article, including any graphic elements therein (e.g. illustrations, charts, moving images), is hereby assigned for good and valuable consideration to the editorial office of Journal of Ocean University of China, Science Press and Springer effective if and when the article is accepted for publication and to the extent assignable if assignability is restricted for by applicable law or regulations (e.g. for U.S. government or crown employees).

          History
          : 27 April 2018
          : 21 August 2018
          : 30 October 2018

          Earth & Environmental sciences,Geology & Mineralogy,Oceanography & Hydrology,Aquaculture & Fisheries,Ecology,Animal science & Zoology
          visualization,pelagic longline,retrieval,dynamic simulation

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