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A Probabilistic Model for Hydrokinetic Turbine Collision Risks: Exploring Impacts on Fish

A variety of hydrokinetic turbines are currently under development for power generation in rivers, tidal straits and ocean currents. Because some of these turbines are large, with rapidly moving rotor blades, the risk of collision with aquatic animals has been brought to attention. The behavior and...

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Autores principales: Hammar, Linus, Eggertsen, Linda, Andersson, Sandra, Ehnberg, Jimmy, Arvidsson, Rickard, Gullström, Martin, Molander, Sverker
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4346259/
https://www.ncbi.nlm.nih.gov/pubmed/25730314
http://dx.doi.org/10.1371/journal.pone.0117756
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author Hammar, Linus
Eggertsen, Linda
Andersson, Sandra
Ehnberg, Jimmy
Arvidsson, Rickard
Gullström, Martin
Molander, Sverker
author_facet Hammar, Linus
Eggertsen, Linda
Andersson, Sandra
Ehnberg, Jimmy
Arvidsson, Rickard
Gullström, Martin
Molander, Sverker
author_sort Hammar, Linus
collection PubMed
description A variety of hydrokinetic turbines are currently under development for power generation in rivers, tidal straits and ocean currents. Because some of these turbines are large, with rapidly moving rotor blades, the risk of collision with aquatic animals has been brought to attention. The behavior and fate of animals that approach such large hydrokinetic turbines have not yet been monitored at any detail. In this paper, we conduct a synthesis of the current knowledge and understanding of hydrokinetic turbine collision risks. The outcome is a generic fault tree based probabilistic model suitable for estimating population-level ecological risks. New video-based data on fish behavior in strong currents are provided and models describing fish avoidance behaviors are presented. The findings indicate low risk for small-sized fish. However, at large turbines (≥5 m), bigger fish seem to have high probability of collision, mostly because rotor detection and avoidance is difficult in low visibility. Risks can therefore be substantial for vulnerable populations of large-sized fish, which thrive in strong currents. The suggested collision risk model can be applied to different turbine designs and at a variety of locations as basis for case-specific risk assessments. The structure of the model facilitates successive model validation, refinement and application to other organism groups such as marine mammals.
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spelling pubmed-43462592015-03-17 A Probabilistic Model for Hydrokinetic Turbine Collision Risks: Exploring Impacts on Fish Hammar, Linus Eggertsen, Linda Andersson, Sandra Ehnberg, Jimmy Arvidsson, Rickard Gullström, Martin Molander, Sverker PLoS One Research Article A variety of hydrokinetic turbines are currently under development for power generation in rivers, tidal straits and ocean currents. Because some of these turbines are large, with rapidly moving rotor blades, the risk of collision with aquatic animals has been brought to attention. The behavior and fate of animals that approach such large hydrokinetic turbines have not yet been monitored at any detail. In this paper, we conduct a synthesis of the current knowledge and understanding of hydrokinetic turbine collision risks. The outcome is a generic fault tree based probabilistic model suitable for estimating population-level ecological risks. New video-based data on fish behavior in strong currents are provided and models describing fish avoidance behaviors are presented. The findings indicate low risk for small-sized fish. However, at large turbines (≥5 m), bigger fish seem to have high probability of collision, mostly because rotor detection and avoidance is difficult in low visibility. Risks can therefore be substantial for vulnerable populations of large-sized fish, which thrive in strong currents. The suggested collision risk model can be applied to different turbine designs and at a variety of locations as basis for case-specific risk assessments. The structure of the model facilitates successive model validation, refinement and application to other organism groups such as marine mammals. Public Library of Science 2015-03-02 /pmc/articles/PMC4346259/ /pubmed/25730314 http://dx.doi.org/10.1371/journal.pone.0117756 Text en © 2015 Hammar et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hammar, Linus
Eggertsen, Linda
Andersson, Sandra
Ehnberg, Jimmy
Arvidsson, Rickard
Gullström, Martin
Molander, Sverker
A Probabilistic Model for Hydrokinetic Turbine Collision Risks: Exploring Impacts on Fish
title A Probabilistic Model for Hydrokinetic Turbine Collision Risks: Exploring Impacts on Fish
title_full A Probabilistic Model for Hydrokinetic Turbine Collision Risks: Exploring Impacts on Fish
title_fullStr A Probabilistic Model for Hydrokinetic Turbine Collision Risks: Exploring Impacts on Fish
title_full_unstemmed A Probabilistic Model for Hydrokinetic Turbine Collision Risks: Exploring Impacts on Fish
title_short A Probabilistic Model for Hydrokinetic Turbine Collision Risks: Exploring Impacts on Fish
title_sort probabilistic model for hydrokinetic turbine collision risks: exploring impacts on fish
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4346259/
https://www.ncbi.nlm.nih.gov/pubmed/25730314
http://dx.doi.org/10.1371/journal.pone.0117756
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