IntEractions between hydrodyNamics and bioTic communities in fluvial Ecosystems: advancement in the knowledge and undeRstanding of PRocesses and ecosystem sustainability by the development of novel technologieS with fIeld monitoriNg and laboratory testinG
The development of an innovative system for monitoring river flows during extreme events and the impact of hydrodynamic pressures on ecosystems are two important challenges identified by the World Meteorological Organization for flood event control and by the European Commission for the European Biodiversity Strategy for the protection of ecosystems and biodiversity.
The overall objective of the project is the development of advanced technologies and innovative methods that, using radar and biological sensors, hydrodynamic models and algorithms, allow us, for the first time, to predict the river flows also during high floods as well as the impact of hydrodynamic processes on the river biotic communities.
Different levels of activity synergistically connected are identified:
- monitoring of river flow by developing innovative no-contact technology;
- modeling of interaction mechanisms between hydrodynamics processes and biotic communities;
- the development of advanced technologies for monitoring the response of biotic communities to hydro-morphological changes;
- the evaluation of the effects of hydrodynamic processes on river ecosystems for developing an effective Biological Early Warning Systems (BEWSs).
The project will have some tangible benefits in terms of effective monitoring of hydrodynamic processes and biotic communities using also drones in the study area and may have wider application internationally. It has a high scientific impact proposing an innovative methodology to investigate the turbulent processes using an entropy constraint that links global flow parameters and flow section shape and area, to local quantities, easy to be measured in any natural streams, as the surface velocity and the water level. It will contribute to give better protection of ecosystems by the development of a Biological Early Warning Systems (BEWSs).
Monitoring systems with mussels in the cages installed in the Paglia River section are operative
The installation of the mussel monitoring stations has been finalized. The system on the pile of the bridge has been made operative on 31st March 2022 just before the occurrence of a flood event (maximum water level =2.73 m).
Preliminary results based on the comparison between the median mussels’ opening (0%=closed, 100%=open, figure on the left) and water level, conductivity and temperature measured by the multiparametric probe (figure on the right) show that the mussels clearly and immediately reacting to increasing water level, not only during the two peaks of the flood, but also in correspondence of the small water level variations around 21:30 and 00:30 of the first night.
It is also interesting to notice that the behavior of the mussels is quite comparable among the 13 individuals.
The system in the lateral pool under the bridge has been finalized and made operative on 7th April 2022.
- Development of a lightweight miniaturized radar sensor to monitor river flow and the main hydrodynamic processes.
- Evaluation and modeling of the effects of hydrodynamic processes on river ecosystem communities in different environments, as a base for the development of a Biological Early Warning System (BEWS).
- Innovative on-line biomonitoring for a better protection of ecosystems and averting global biodiversity losses.
ENTERPRISING has a great potentiality from a technological, scientific and operational point of view. First, the project enhances knowledge, methods and, more importantly, technologies in support of robust, actionable discharge assessment for management of extreme events. Second, by blending new technology and refined modeling, the variation of the animal-species and vegetated-species behavioral responses to the hydro-morpho-dynamic parameters are identified, allowing us to define the biotic stress conditions as a measure of the ecosystem suitability.