This group is composed of 12 Ph.D. members, 4 Ph.D. collaborators, and 40 non-PhD collaborators covering a broad range of topics, which include six main research lines with several cross-cutting related issues, such as:
Pressurized water systems: performance assessment of water and wastewater assets; water-use and energy efficiency in urban water systems; energy recovery in water services and using pumps as turbines; digital twin in water distribution networks; new tools and technologies using the Internet of Things, artificial intelligence, and machine learning for the digital transition in the water sector; hybrid energy schemes and pumped-storage hydropower for the energy transition.
Fluvial hydraulic structures: development of mitigation strategies for fish downstream of powerplants with the hydropeaking operation, by numerical and experimental modelling, and of related hydraulic structures; study of the hydraulics of PKW weirs combined with spillways; study of the pressure field and slabs stability in plunge pools.
River restoration and management: monitoring tools, based on physically based computational models, for water and sediment quality in rivers and estuaries; risk management in the valleys downstream of dams; environmental flows determination procedures and hydropower station operation rules to reduce ecological risk downstream of dams; river restoration and development of fish passes for low river obstacles to improve ecological connectivity.
Environmental fluid mechanics: lab research on rough-wall open-channel turbulence; CFD simulation of solid-fluid interactions in turbulent flows; lab research and numerical simulation of dissolved substances transport; heat and mass transport in wetlands.
Sediment transport and river morphodynamics: hydrodynamics of river diversions in equilibrium; desilting efficiency of vane fields in channel bifurcations; local scour at transversally inclined sand-bed channels; application to long-term channel morphology evolution, dam-breaching, dam-break flows, and overland tsunami propagation; application of machine learning in stage-discharge prediction.
Coastal morphodynamics and coastal and port structures: assessment of the vulnerability to flooding of the built environments on low-lying areas of estuaries due to extreme ocean storm surge events and climate change; modelling of beach morphology evolution with coastal structures.
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