Conference paper - Peer-reviewed, 2016
Describing fish passage in a river confluence with telemetry and CFD
Andersson, Anders G.; Leonardsson, Kjell; Lindberg, Dan-Erik; Lundstrom, T. Staffan; Hellstrom, J. Gunnar. I.; Lundqvist, HansAbstract
The confluence between a hydropower tailrace and the old river bed in Stornorrfors in the river Umealven in the northern part of Sweden has shown to be the largest obstacle for upstream migrating salmon and sea trout. Fish are attracted to the high flow rate from the tailrace and will not migrate upstream in the old river bed to the fishway leading past the hydropower dam. By using triangulation from eight antennas in the confluence, the tracks of radio tagged migrating fish can be determined. These tracks are then compared with three-dimensional Computational Fluid Dynamics (CFD) simulations of the confluence. By simulating the most common combinations of turbine flow and spill flow in the old river bed it is possible to find correlations between fish movements and the flow field. It was previously assumed that fish had trouble locating the old river bed, the results of the triangulation however shows that most fish find the old river bed within a few days but do not chose to migrate until several days or even weeks later. The main issue is therefore not how to attract the fish to the old river bed, but rather how to create favorable conditions in the old river bed so that migrating fish are more inclined to take that path upstream.Published in
Book title: Proceedings of the 11th International Symposium on EcohydraulicsISBN: 978-0-7340-5339-8
Publisher: University of Melbourne
Conference
11th International Symposium on EcohydraulicsAuthors' information
Andersson, Anders G.
Luleå University of Technology
Swedish University of Agricultural Sciences, Department of Wildlife, Fish and Environmental Studies
Lindberg, Dan-Erik
Swedish University of Agricultural Sciences, Department of Wildlife, Fish and Environmental Studies
Lundström, Staffan
Luleå University of Technology
Hellström, J Gunnar I
Luleå University of Technology
Swedish University of Agricultural Sciences, Department of Wildlife, Fish and Environmental Studies
UKÄ Subject classification
Fish and Aquacultural Science
URI (permanent link to this page)
https://res.slu.se/id/publ/91418