An Experimental Approach for the Quantitative Assessment of Downstream Swimming Fish Behavior

ABSTRACT Behavior of fish influences the mortality risk during turbine and pump passages. Knowledge about species‐specific behavior and its triggers is necessary for improving numerical models and the development of autonomous sensor probes to estimate fish mortality in turbines and pumps. A primary objective of the RETERO project is the study of fish behavior in hydraulic conditions similar to turbine and pump intakes in controlled conditions. For this purpose, an experimental conduit was constructed at the Hubert‐Engels Laboratory of the TUD Dresden University of Technology (Germany) equipped with a 3D camera infrared tracking system. The conduit was designed to model hydraulic conditions typical for turbine and pump intakes. In the experimental setup, the effects of flow velocities exceeding the maximum swim speed of fish, as well as spatial velocity gradients and illumination conditions on the fish behavior are studied. The data from brown trout ( Salmo trutta ) allow for an analysis of how these fish react to flow accelerations and velocities surpassing their sprint speed, using quantitative metrics for movement and activity. An initial evaluation of these experiments highlights the potential of this approach for further research.

Authors

Institutions

Publication Details

Journal
River Research and Applications
Published
2024-10-07
DOI
https://doi.org/10.1002/rra.4375
Citations
3
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
2.07

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Experimental Approach for the Quantitative Assessment of Downstream Swimming Fish Behavior

Dennis Powalla, Ianina Kopecki, Márcio S. Roth, Tom Roessger et al.
3 citations
River Research and Applications
Fish Ecology and Management Studies
2.07
article

An Experimental Approach for the Quantitative Assessment of Downstream Swimming Fish Behavior

Dennis Powalla, Ianina Kopecki, Márcio S. Roth, Tom Roessger, Jürgen Stamm, Falko Wagner
article en
3 citations

Abstract

ABSTRACT Behavior of fish influences the mortality risk during turbine and pump passages. Knowledge about species‐specific behavior and its triggers is necessary for improving numerical models and the development of autonomous sensor probes to estimate fish mortality in turbines and pumps. A primary objective of the RETERO project is the study of fish behavior in hydraulic conditions similar to turbine and pump intakes in controlled conditions. For this purpose, an experimental conduit was constructed at the Hubert‐Engels Laboratory of the TUD Dresden University of Technology (Germany) equipped with a 3D camera infrared tracking system. The conduit was designed to model hydraulic conditions typical for turbine and pump intakes. In the experimental setup, the effects of flow velocities exceeding the maximum swim speed of fish, as well as spatial velocity gradients and illumination conditions on the fish behavior are studied. The data from brown trout ( Salmo trutta ) allow for an analysis of how these fish react to flow accelerations and velocities surpassing their sprint speed, using quantitative metrics for movement and activity. An initial evaluation of these experiments highlights the potential of this approach for further research.

River Research and ApplicationsVol. 41(2)
Technische Universität Dresden (DE), Otto-von-Guericke-Universität Magdeburg (DE)
Bundesministerium für Bildung und Forschung
Life below water
Openalex Percentile: Top 13%
Fish Ecology and Management Studies
2.07
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.