Knowl. Manag. Aquat. Ecosyst.
Number 423, 2022
Anthropogenic impact on freshwater habitats, communities and ecosystem functioning
|Number of page(s)||12|
|Published online||14 September 2022|
3D upstream passability of novel river training structures by migratory fish in the river Waal
Department of Animal Ecology and Physiology, Radboud Institute for Biology and Environmental Sciences (RIBES), Radboud University, P.O. Box 9010, 6500 GL Nijmegen, the Netherlands
* Corresponding author: email@example.com
Accepted: 8 July 2022
Longitudinal training dams (LTDs) are novel river training structures that divide a river into a main navigation channel and protected shore channels. High velocities at the inflows of shore channels constructed in the river Waal (The Netherlands) pose a potential bottleneck for migratory fish species swimming upstream. This study assessed the passability of the inflows using flow velocity datasets from governmental monitoring campaigns collected with an ADCP during high river discharges (Q = 3489–5066 m3/s at Lobith monitoring station). The swimming performance of several migratory fish species were estimated from their total lengths (TLs). A new 3D approach to visualize the flow velocity data using Voxler® software is presented. Gasterosteus aculeatus aculeatus was the only fish species with an adult life stage unable to pass the 9 cases tested due to its small size. The juvenile European eel and thicklip grey mullet passed 1 and 0 of the cases, respectively. The most upstream inflow, located in the inner bend of the river, was the most passable. We recommend maximizing the cross-sectional area of the inflow sills in order to reduce the flow velocities experienced by migrating fish during high river discharges. This approach may be useful to assess passability at other locations and training structures.
Key words: ADCP measurements / diadromous fish / longitudinal training dam / swimming performance / shore channel
© N.Y. Flores et al., Published by EDP Sciences 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License CC-BY-ND (https://creativecommons.org/licenses/by-nd/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. If you remix, transform, or build upon the material, you may not distribute the modified material.
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