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An agent-based model to predict fish collisions with tidal stream turbines

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  • Rossington, Kate
  • Benson, Thomas

Abstract

Interest in marine tidal turbines, particularly in coastal waters, raises concerns about collisions between marine wildlife and underwater turbine blades. Prediction methods for collisions are necessary to evaluate possible consequences for marine animal populations. Existing collision risk models, based on analytical solutions, assume simplistic non-behavioural traits. This paper seeks to advance these collision models to represent real behaviours of marine species by extending an existing numerical Agent-Based Model (ABM) to include predictions of collisions.

Suggested Citation

  • Rossington, Kate & Benson, Thomas, 2020. "An agent-based model to predict fish collisions with tidal stream turbines," Renewable Energy, Elsevier, vol. 151(C), pages 1220-1229.
    • Handle: RePEc:eee:renene:v:151:y:2020:i:c:p:1220-1229
    DOI: 10.1016/j.renene.2019.11.127
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    References listed on IDEAS

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    5. Willis, Jay, 2011. "Modelling swimming aquatic animals in hydrodynamic models," Ecological Modelling, Elsevier, vol. 222(23), pages 3869-3887.
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    Cited by:

    1. Benson, Thomas & de Bie, Jasper & Gaskell, Jennifer & Vezza, Paolo & Kerr, James R. & Lumbroso, Darren & Owen, Markus R. & Kemp, Paul S., 2021. "Agent-based modelling of juvenile eel migration via selective tidal stream transport," Ecological Modelling, Elsevier, vol. 443(C).

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