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Identifying the turbulent flow developing inside and around the bottom trawl by Electromagnetic Current Velocity Meter approach in the flume tank

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Abstract

The Knowledge of turbulent flow developing inside and around the bottom trawl net is of great importance not only for improving the hydrodynamic performance of the gear but also for the selectivity via the fish response, such as the herding response or escape behavior. The 3-D Electromagnetic Current Velocity Meter (ECVM) measurements were performed to investigate the effect of turbulent flow on the bottom trawl net performance and to analyze the turbulence intensity and velocity ratio inside and around different parts of the trawl net. Proper orthogonal decomposition (POD) method was applied in order to extract the phase averaged mean velocity field of turbulent flow from each available ECVM instantaneous velocity. The results demonstrated the existence of turbulence flow, consisting of turbulent boundary layer flow and the turbulence due to the trawl wake developing all inside and around the bottom trawl net. Increasing input streamwise velocity results in faster trawl movement and a significant turbulent flow. The maximum turbulence intensity inside and around trawl wing, square part, first belly, second belly, third belly, cod-end is 0.95 %, 1.34%, 3.40%, 4.10%, 4.25% and 3.80%, respectively. It was found that the mean velocity field in a turbulent flow inside and around trawl net cod-end recovered on the average was ~77.58% of the input streamwise velocity. It is ~12.92%, ~13.07%, ~11.40%, ~13.00% and ~0.45 % less than that inside and around trawl wing, square part, first belly, second belly, and third belly of the bottom trawl net, respectively. The turbulent flow behavior depends strongly on the structure oscillation, input streamwise velocity and, porosity of the net structure. It is necessary to take into account the velocity reduction inside and around a different part of the trawl net to improve the entire drag force determination, cod-end design, and further selectivity control of the fishing gear.

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Acknowledgement

This work was supported by the Shanghai Sailing Program (Grant No. 19YF1419800), the Special project for the exploitation and utilization of Antarctic biological resources of Ministry of Agriculture and Rural Affairs (Grant No. D-8002-18-0097).

Author information

Authors and Affiliations

  1. College of Marine Sciences, Shanghai Ocean University, Shanghai, 201306, China

    Nyatchouba Nsangue Bruno Thierry, Hao Tang & Liu-xiong Xu

  2. National Engineering Research Center for Oceanic Fisheries, Shanghai, 201306, China

    Hao Tang & Liu-xiong Xu

  3. Key Laboratory of Oceanic Fisheries Exploration, Ministry of Agriculture and Rural Affairs, Shanghai, 201306, China

    Hao Tang & Liu-xiong Xu

  4. The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Shanghai Ocean University, Ministry of Education, Shanghai, 201306, China

    Hao Tang & Liu-xiong Xu

  5. Scientific Observing and Experimental Station of Oceanic Fishery Resources, Ministry of Agriculture and Rural Affairs, Shanghai, 201306, China

    Hao Tang & Liu-xiong Xu

  6. Department of Marine Biosciences, Tokyo University of Marine Science and Technology, Minato, Tokyo, Japan

    Fuxiang Hu & Xinxing You

  7. College of Fisheries and Life Sciences, Shanghai Ocean University, Shanghai, 201306, China

    Micah Adekunle David

  8. Faculty of Industrial Engineering, University of Douala, Douala, Cameroon

    Njomoue Pandong Achille

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  1. Nyatchouba Nsangue Bruno Thierry
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  2. Hao Tang
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  3. Liu-xiong Xu
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  4. Fuxiang Hu
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  5. Xinxing You
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  6. Micah Adekunle David
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  7. Njomoue Pandong Achille
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Corresponding author

Correspondence to Hao Tang.

Additional information

Projects supported by the National Natural Science Foundation of China (Grand No. 31902426).v

Biography: Nyatchouba Nsangue Bruno Thierry (1989-), Male, Ph. D.

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Thierry, N.N.B., Tang, H., Xu, Lx. et al. Identifying the turbulent flow developing inside and around the bottom trawl by Electromagnetic Current Velocity Meter approach in the flume tank. J Hydrodyn 33, 636–656 (2021). https://doi.org/10.1007/s42241-021-0058-0

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  • DOI: https://doi.org/10.1007/s42241-021-0058-0

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