This research examines how hydropeaking dams cause fish stranding due to rapid flow changes. Using camera monitoring and modeling, it identifies environmental factors like substrate type and seasonal fish abundance that increase risk. The work highlights the need to balance renewable energy production with ecological sustainability in freshwater systems.

This study developed a real-time IoT-based system to optimize fishway performance in fragmented rivers. Using sensors, PIT-tag tracking, and machine-learning models, it links climate triggers with hydraulic controls. Adaptive sluice-gate regulation improved fish passage efficiency by 166% without reducing hydropower output, offering scalable, sustainable river management.