Articles | Volume 28, issue 10
https://doi.org/10.5194/hess-28-2297-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-2297-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 May 2024
Research article |
| 30 May 2024
| 30 May 2024
Real-time biological early-warning system based on freshwater mussels’ valvometry data
Ashkan Pilbala
Department of Civil, Environmental and Mechanical Engineering, University of Trento, Trento, Italy
Nicoletta Riccardi
Water Research Institute (IRSA), National Research Council of Italy (CNR), Verbania, Italy
Nina Benistati
Department of Engineering, University of Palermo, Palermo, Italy
Vanessa Modesto
Water Research Institute (IRSA), National Research Council of Italy (CNR), Verbania, Italy
Donatella Termini
Department of Engineering, University of Palermo, Palermo, Italy
National Biodiversity Future Center (NBFC), Palermo, Italy
Dario Manca
Water Research Institute (IRSA), National Research Council of Italy (CNR), Verbania, Italy
Augusto Benigni
Research Institute for Geo-hydrological Protection (IRPI), National Research Council of Italy (CNR), Perugia, Italy
Cristiano Corradini
Research Institute for Geo-hydrological Protection (IRPI), National Research Council of Italy (CNR), Perugia, Italy
Tommaso Lazzarin
Department of Civil, Environmental and Architectural Engineering, University of Padua, Padua, Italy
Tommaso Moramarco
Research Institute for Geo-hydrological Protection (IRPI), National Research Council of Italy (CNR), Perugia, Italy
Luigi Fraccarollo
Department of Civil, Environmental and Mechanical Engineering, University of Trento, Trento, Italy
Sebastiano Piccolroaz
CORRESPONDING AUTHOR
Department of Civil, Environmental and Mechanical Engineering, University of Trento, Trento, Italy
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Farhad Bahmanpouri, Tommaso Lazzarin, Silvia Barbetta, Tommaso Moramarco, and Daniele P. Viero
Hydrol. Earth Syst. Sci., 28, 3717–3737, https://doi.org/10.5194/hess-28-3717-2024, https://doi.org/10.5194/hess-28-3717-2024, 2024
Short summary
Short summary
The entropy model is a reliable tool to estimate flood discharge in rivers using observed level and surface velocity. Often, level and velocity sensors are placed on bridges, which may disturb the flow. Using accurate numerical models, we explored the entropy model reliability nearby a multi-arch bridge. We found that it is better to place sensors and to estimate the discharge upstream of bridges; downstream, the entropy model needs the river-wide distribution of surface velocity as input data.
Malgorzata Golub, Wim Thiery, Rafael Marcé, Don Pierson, Inne Vanderkelen, Daniel Mercado-Bettin, R. Iestyn Woolway, Luke Grant, Eleanor Jennings, Benjamin M. Kraemer, Jacob Schewe, Fang Zhao, Katja Frieler, Matthias Mengel, Vasiliy Y. Bogomolov, Damien Bouffard, Marianne Côté, Raoul-Marie Couture, Andrey V. Debolskiy, Bram Droppers, Gideon Gal, Mingyang Guo, Annette B. G. Janssen, Georgiy Kirillin, Robert Ladwig, Madeline Magee, Tadhg Moore, Marjorie Perroud, Sebastiano Piccolroaz, Love Raaman Vinnaa, Martin Schmid, Tom Shatwell, Victor M. Stepanenko, Zeli Tan, Bronwyn Woodward, Huaxia Yao, Rita Adrian, Mathew Allan, Orlane Anneville, Lauri Arvola, Karen Atkins, Leon Boegman, Cayelan Carey, Kyle Christianson, Elvira de Eyto, Curtis DeGasperi, Maria Grechushnikova, Josef Hejzlar, Klaus Joehnk, Ian D. Jones, Alo Laas, Eleanor B. Mackay, Ivan Mammarella, Hampus Markensten, Chris McBride, Deniz Özkundakci, Miguel Potes, Karsten Rinke, Dale Robertson, James A. Rusak, Rui Salgado, Leon van der Linden, Piet Verburg, Danielle Wain, Nicole K. Ward, Sabine Wollrab, and Galina Zdorovennova
Geosci. Model Dev., 15, 4597–4623, https://doi.org/10.5194/gmd-15-4597-2022, https://doi.org/10.5194/gmd-15-4597-2022, 2022
Short summary
Short summary
Lakes and reservoirs are warming across the globe. To better understand how lakes are changing and to project their future behavior amidst various sources of uncertainty, simulations with a range of lake models are required. This in turn requires international coordination across different lake modelling teams worldwide. Here we present a protocol for and results from coordinated simulations of climate change impacts on lakes worldwide.
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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.
This study investigates the impact of floods on the aquatic ecosystem using freshwater mussels...
