Articles | Volume 28, issue 10
https://doi.org/10.5194/hess-28-2297-2024
https://doi.org/10.5194/hess-28-2297-2024
Research article
 | 
30 May 2024
Research article |  | 30 May 2024

Real-time biological early-warning system based on freshwater mussels’ valvometry data

Ashkan Pilbala, Nicoletta Riccardi, Nina Benistati, Vanessa Modesto, Donatella Termini, Dario Manca, Augusto Benigni, Cristiano Corradini, Tommaso Lazzarin, Tommaso Moramarco, Luigi Fraccarollo, and Sebastiano Piccolroaz

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Short summary
This study investigates the impact of floods on the aquatic ecosystem using freshwater mussels instrumented with sensors to monitor the opening of their valves. Signal analysis techniques were used to gain insight into their responses in terms of changes in the intensity and frequency of valve opening. The approach used in the study enables the development of real-time monitoring systems for ecological purposes and provides a pathway for practical biological early-warning systems.