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Role of Transient Characteristics in Fish Trajectory Modeling

Author

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  • Gao Zhu

    (School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China
    State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
    Department of Energy and Process Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway)

  • Zuhao Zhou

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Helge I Andersson

    (Department of Energy and Process Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway)

Abstract

In this experiment, we analyzed live fish (silver carp) trajectories recorded in an experimental vertical-slot fishway. Combined with a numerical simulation, we demonstrated that randomness shown in fish trajectories might not merely be attributed to the fish’s random choices in its swimming, but could also be a consequence of adaption to the bulk unsteady turbulent flow structures. Simple superposition of a fish trajectory on the time-averaged flow field obtained either by interpolating on discrete point measurements or numerical simulation data is not an ideal method for description of fish movement. How to model the fish paths in transient flow and the necessity of simultaneous recording of the flow field and the fish locomotion are challenging topics. We also discussed the possible integration of currently existing methods to promote the development of fish trajectory modeling.

Suggested Citation

  • Gao Zhu & Zuhao Zhou & Helge I Andersson, 2020. "Role of Transient Characteristics in Fish Trajectory Modeling," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6765-:d:401852
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    References listed on IDEAS

    as
    1. Jager, Henriette I. & DeAngelis, Donald L., 2018. "The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes," Ecological Modelling, Elsevier, vol. 384(C), pages 341-352.
    2. Zielinski, D.P. & Voller, VR. & Sorensen, P.W., 2018. "A physiologically inspired agent-based approach to model upstream passage of invasive fish at a lock-and-dam," Ecological Modelling, Elsevier, vol. 382(C), pages 18-32.
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