Author(s): Juan Francisco Fuentes-Perez; Jeffrey A. Tuhtan; Paulo Branco; Mario Eckert; Maria Teresa Ferreira; Maarja Kruusmaa
Linked Author(s): Juan Francisco Fuentes Perez
Keywords: No Keywords
Abstract: The local flows within a fishway present a wide spectrum of hydrodynamic conditions and are themselves subject to the natural variability of the river they are connected to. Investigations of fish behavior under different flow scenarios in laboratory fishways can aid in identifying the statistically significant preferences of fish. Once patterns have been established, the next step is to optimize the performance of fishways. In this study, we present an example of our data-driven model using the Iberian barbel (Luciobarbus bocagei). The 3D distribution of fish presence in a vertical slot fishway is assessed. The hydrodynamic variables are measured with a new generation of artificial lateral line probe (LLP) based on differential pressure sensing, as well as with an acoustic Doppler velocimeter (ADV). The spatial distribution of the barbel is measured using digital video imagery tracking. The distribution of barbel is then incorporated into a predictive, data-driven approach using a zero inflated Poisson model. The model considers the fish tracks, local hydrodynamic measurements as well as the large-scale flow variability of the different flow scenarios tested. The results of our data-driven approach show good agreement with the observed spatial distributions of fish, and it was found that the addition of the LLP data improved overall model performance when compared to ADV measurements.
Year: 2018