Common mechanisms for guidance efficiency of descending Atlantic salmon smolts in small and large hydroelectric power plants
Abstract Dams and turbines associated with hydroelectric power plants (HEP) disrupt connectivity by affecting fish movement and survival. There has been an increasing focus on measures to facilitate downstream migration at HEPs. The fish guidance efficacy (FGE) of downstream mitigation measures larg...
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crwiley:10.1002/rra.3360 2024-06-23T07:51:19+00:00 Common mechanisms for guidance efficiency of descending Atlantic salmon smolts in small and large hydroelectric power plants Haraldstad, Tormod Höglund, Erik Kroglund, Frode Haugen, Thrond Oddvar Forseth, Torbjørn Miljødirektoratet 2018 http://dx.doi.org/10.1002/rra.3360 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Frra.3360 https://onlinelibrary.wiley.com/doi/pdf/10.1002/rra.3360 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor River Research and Applications volume 34, issue 9, page 1179-1185 ISSN 1535-1459 1535-1467 journal-article 2018 crwiley https://doi.org/10.1002/rra.3360 2024-05-31T08:12:18Z Abstract Dams and turbines associated with hydroelectric power plants (HEP) disrupt connectivity by affecting fish movement and survival. There has been an increasing focus on measures to facilitate downstream migration at HEPs. The fish guidance efficacy (FGE) of downstream mitigation measures largely remains suboptimal and calls for development of knowledge on factors influencing FGE. In this study, we analyse 6 years of wild Atlantic salmon smolt passive integrated transponder (PIT)‐telemetry data ( N = 1,498) from a neighbouring small‐ and a large‐scale HEP. Timing of the smolt migration period was significantly different between the two rivers. Thus, river‐specific smolt‐run timing is imperative for proper measures management in regulated rivers aiming at maximizing smolt‐descent survival. A generalized linear model including additive effects of relative bypass discharge and scaled river discharge on the FGE for descending smolts received highest Akaike's information criterion support in the data and explained 74.2% of the FGE variation. This model, including no river effect, predicted high FGE (up to 90%) at low river flow (≤30% of HEP maximum capacity) when 7% of the water is allocated through the bypass. Many run‐of‐the‐river HEPs have highly variable river flow during the smolt‐run period. Our model suggests that these HEPs could utilize their manoeuvre flexibility to obtain water allocation routines between bypass and turbines that optimize both FGE and hydroelectric production. Article in Journal/Newspaper Atlantic salmon Wiley Online Library River Research and Applications 34 9 1179 1185 |
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English |
description |
Abstract Dams and turbines associated with hydroelectric power plants (HEP) disrupt connectivity by affecting fish movement and survival. There has been an increasing focus on measures to facilitate downstream migration at HEPs. The fish guidance efficacy (FGE) of downstream mitigation measures largely remains suboptimal and calls for development of knowledge on factors influencing FGE. In this study, we analyse 6 years of wild Atlantic salmon smolt passive integrated transponder (PIT)‐telemetry data ( N = 1,498) from a neighbouring small‐ and a large‐scale HEP. Timing of the smolt migration period was significantly different between the two rivers. Thus, river‐specific smolt‐run timing is imperative for proper measures management in regulated rivers aiming at maximizing smolt‐descent survival. A generalized linear model including additive effects of relative bypass discharge and scaled river discharge on the FGE for descending smolts received highest Akaike's information criterion support in the data and explained 74.2% of the FGE variation. This model, including no river effect, predicted high FGE (up to 90%) at low river flow (≤30% of HEP maximum capacity) when 7% of the water is allocated through the bypass. Many run‐of‐the‐river HEPs have highly variable river flow during the smolt‐run period. Our model suggests that these HEPs could utilize their manoeuvre flexibility to obtain water allocation routines between bypass and turbines that optimize both FGE and hydroelectric production. |
author2 |
Miljødirektoratet |
format |
Article in Journal/Newspaper |
author |
Haraldstad, Tormod Höglund, Erik Kroglund, Frode Haugen, Thrond Oddvar Forseth, Torbjørn |
spellingShingle |
Haraldstad, Tormod Höglund, Erik Kroglund, Frode Haugen, Thrond Oddvar Forseth, Torbjørn Common mechanisms for guidance efficiency of descending Atlantic salmon smolts in small and large hydroelectric power plants |
author_facet |
Haraldstad, Tormod Höglund, Erik Kroglund, Frode Haugen, Thrond Oddvar Forseth, Torbjørn |
author_sort |
Haraldstad, Tormod |
title |
Common mechanisms for guidance efficiency of descending Atlantic salmon smolts in small and large hydroelectric power plants |
title_short |
Common mechanisms for guidance efficiency of descending Atlantic salmon smolts in small and large hydroelectric power plants |
title_full |
Common mechanisms for guidance efficiency of descending Atlantic salmon smolts in small and large hydroelectric power plants |
title_fullStr |
Common mechanisms for guidance efficiency of descending Atlantic salmon smolts in small and large hydroelectric power plants |
title_full_unstemmed |
Common mechanisms for guidance efficiency of descending Atlantic salmon smolts in small and large hydroelectric power plants |
title_sort |
common mechanisms for guidance efficiency of descending atlantic salmon smolts in small and large hydroelectric power plants |
publisher |
Wiley |
publishDate |
2018 |
url |
http://dx.doi.org/10.1002/rra.3360 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Frra.3360 https://onlinelibrary.wiley.com/doi/pdf/10.1002/rra.3360 |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_source |
River Research and Applications volume 34, issue 9, page 1179-1185 ISSN 1535-1459 1535-1467 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/rra.3360 |
container_title |
River Research and Applications |
container_volume |
34 |
container_issue |
9 |
container_start_page |
1179 |
op_container_end_page |
1185 |
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1802642378111057920 |