Author(s): Corentin Rabu; Benoit Tremblais; Renaud Peteri; Laurent Mascarilla; Laurent David; Damien Calluaud

Linked Author(s): Laurent David, Damien Calluaud

Keywords: Image analysis; Deep learning; Ecohydraulics; Fish trajectories; Vertical slot fishway; Fish passage; Turbulent flow

Abstract: Fish migration is hindered by anthropogenic barriers, contributing to declines in freshwater and diadromous species. Vertical slot fishways (VSFs) are widely used to restore connectivity, yet their effectiveness depends on how fish interact with complex hydraulic conditions. This study develops an image analysis–based method to track fish behaviour in laboratory VSFs, enabling high-resolution assessment of movement patterns, resting behaviour, and hydrodynamic interactions. Using brown trout (salmo trutta) and chub (squalius cephalus), we evaluate how flow conditions influence passage success, transit times, and spatial use within pools. By integrating behavioural tracking with hydrodynamic modelling, the study identifies key factors affecting passage efficiency and provides guidance for refining VSF design to better accommodate diverse species.

DOI: https://doi.org/10.64697/iahr.proc.ise2026.abs.278

Year: 2026