| Autor: |
Ashraf MU; Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, Italy., Nyqvist D; Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, Italy., Comoglio C; Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, Italy., Nikora V; Department of Engineering, University of Aberdeen, Aberdeen, Scotland, UK., Marion A; Department of Industrial Engineering, Università di Padova, Padova, Italy., Domenici P; CNR-IAS, Italian National Research Council, Institute of Anthropic Impacts and Sustainability in the Marine Environment, Oristano, Italy.; CNR-IBF, Institute of Biophysics, Pisa, Italy., Manes C; Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, Italy. |
| Abstrakt: |
Fatigue curves quantify fish swimming performance, providing information about the time ([Formula: see text]) fish can swim against a steady flow velocity ( U f ) before fatiguing. Such curves represent a key tool for many applications in ecological engineering, especially for fish pass design and management. Despite years of research, though, our current ability to model fatigue curves still lacks theoretical foundations and relies primarily on fitting empirical data, as obtained from time-consuming and costly experiments. In the present article, we address this shortcoming by proposing a theoretical analysis that builds upon concepts of fish hydrodynamics to derive scaling laws linking statistical properties of [Formula: see text] to velocities U f , pertaining to the so-called burst range. Theoretical arguments, in the present study, suggest that the proposed scaling laws may hold true for all fish species and sizes. A new experimental database obtained from over 800 trials and five small-sized Cypriniformes support theoretical predictions satisfactorily and calls for further experiments on more fish species and sizes to confirm their general validity. |
