Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1782359693462601728 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4346259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT hammarlinus aprobabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish AT eggertsenlinda aprobabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish AT anderssonsandra aprobabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish AT ehnbergjimmy aprobabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish AT arvidssonrickard aprobabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish AT gullstrommartin aprobabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish AT molandersverker aprobabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish AT hammarlinus probabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish AT eggertsenlinda probabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish AT anderssonsandra probabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish AT ehnbergjimmy probabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish AT arvidssonrickard probabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish AT gullstrommartin probabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish AT molandersverker probabilisticmodelforhydrokineticturbinecollisionrisksexploringimpactsonfish |