Abstract:

At present, the evaluation of fishway effectiveness primarily relies on methods such as net fishing and PIT (Passive Integrated Transponder) tracking to directly assess the quantity and efficiency of fish passage. However, these approaches have limitations, including long cycle, heavy workloads, and the inability to diagnose or identify abiotic engineering issues. Based on existing monitoring data of fishway effectiveness in China, we constructed an evaluation index system that encompasses abiotic indicators such as hydraulic condition suitability, environmental factor adaptability, and internal structure conformity, as well as biological indicators like fish passage effectiveness. Canonical correlation analysis reveals that hydraulic and structural indices, including the inlet velocity index, slot width index, and energy dissipation index, significantly influence fishway effectiveness, with respective weights of 0.23, 0.16, and 0.15. By integrating fuzzy evaluation theory, we developed a fishway effectiveness evaluation model based on abiotic indices. Case analysis demonstrates that the model’s results align with direct monitoring conclusions, indicating that the model can provide more reliable scientific and technological support for fishway operations in China.

Key words: fishway effectiveness, abiotic indices, indirect evaluation model, canonical correlation analysis, index suitability