A5026932209- Hydrology and Sediment Transport Processes
- Water Systems and Optimization
- Hydrology and Watershed Management Studies
- Soil erosion and sediment transport
- Hydraulic flow and structures
- Water resources management and optimization
- Hydrological Forecasting Using AI
- Energy Load and Power Forecasting
- Cryospheric studies and observations
- Fluid Dynamics and Turbulent Flows
- Flood Risk Assessment and Management
- Fish Ecology and Management Studies
- Integrated Energy Systems Optimization
- Urban Stormwater Management Solutions
- Hydraulic and Pneumatic Systems
- Water-Energy-Food Nexus Studies
- Meteorological Phenomena and Simulations
- Computational Fluid Dynamics and Aerodynamics
- Water Treatment and Disinfection
- Aeolian processes and effects
- Building Energy and Comfort Optimization
- Water Quality Monitoring Technologies
- Fluid Dynamics Simulations and Interactions
- Smart Grid Energy Management
- Aquatic Invertebrate Ecology and Behavior
Free University of Bozen-Bolzano
2015-2024
University of Trento
2005-2019
University of Padua
2007-2009
Study region: The region of interest is the South-Tyrol in southeastern Alps, Italy. A comparison meteorological forcing performed with reference to this while hydrological simulations are conducted Passirio river basin. focus: objective work evaluate suitability ERA5-Land reanalysis product as a dataset for modelling topographically complex Alpine regions. compared observational gridded dataset, obtained by means Kriging interpolation, available at two contrasting spatial resolutions coarse...
The accumulation of fine sediments in rivers is a pernicious problem with wide‐ranging consequences for the healthy functioning throughout world. It linked to range landuse changes and human activities that have increased sediment inputs leading elevated loads exceed transport capacities rivers. Surficial deposits material can also create conditions move into accumulate within coarser bed substrate, process known as colmation focus this review. Colmation, referred clogging, infiltration,...
Abstract Short‐term forecasting of water demand is a crucial process for managing efficiently supply systems. This paper proposes to develop novel graph convolutional recurrent neural network (GCRNN) predict time series related some systems or district metering areas that belong the same geographical area. The aim build graph‐based model able capture dependence among different both in spatial and temporal terms. built on set graphs, its performance compared two methods, including...
The hydrodynamic force exerted by water stream on series of isolated willows several size and foliage at full scale is experimentally analysed. plants were both fully partially submerged the flow. resistance was measured means a properly designed transducer. drag coefficient evaluated considering equivalent to rigid cylinders; estimated values are close theoretical expected for cylinder and, due flexibility, decreases with plant's Reynolds number. measurements allow evaluate effect plant...
The role of particles heavier than the fluid (glass spheres in water) a turbulent open channel flow over smooth bed is examined at volume concentration about ), as Reynolds stress. These findings can be explained if they are referred to mechanism particle entrainment and deposition, which takes place close wall. This related inertia dynamic structure near-wall turbulence, connects buffer outer regions with very region. A significant momentum exchange between two phases, particularly...
A threshold criterion for incipient motion of cohesive‐adhesive sediments, based on moment balance and dimensional considerations, is here developed. The discriminates between single particles flocs critical conditions induces a modification to the traditional Shields curve, commonly adopted noncohesive particles. This particularly effective smaller size but tending vanish larger ones. proposed approach validated basis experiments performed sediment cores, sampled at different depths, from...
Pump-as-Turbine (PaT) technology is taking the field in different small-hydro or energy recovery applications. These machines can be installed water distribution grids to have pressure levels adjustment and electrical production. A PaT working turbine mode has a best efficiency point due variation of fluid-dynamic operating conditions. In this paper, laboratory tests are performed investigate its performances pump mode. Hydraulic efficiency, torque mechanical power evaluated several load...
This work introduces a general multi-objective parameter estimation framework to exploit MODIS-based snow cover maps reduce predictive streamflow uncertainty in snow-dominated catchments. The well-known GLUE methodology is applied with approach, combining observations recorded at the outlet section and satellite-derived maps, aggregated fractional values of catchment area. hydrological model used this study includes snowpack routine which exploits statistical representation distribution...
The ongoing transformation of the electricity market has reshaped hydropower production paradigm for storage reservoir systems, with a shift from strategies oriented towards maximizing regional energy to aimed at revenue maximization individual systems. Indeed, producers bid their scheduling 1 day in advance, attempting align operational plan hours where expected prices are higher. As result, accuracy 1-day ahead forecasts started play key role short-term optimization This paper aims...
Abstract Sustainable management of water resources is a key challenge nowadays and in the future. Water distribution systems have to ensure fresh for all users an increasing demand scenario related long-term effects due climate change. In this context, reliable short-term forecasting model crucial optimal resources. This study proposes novel deep learning based on long memory (LSTM) neural networks forecast hourly demand. Due limitations using multiple input sequences with different time...
Proper hydraulic simulation models, which are fundamental to analyse a water distribution system, require calibration procedure. This paper proposes multi-objective procedure calibrate demands and pipe roughness in the context of an ill-posed problem, where number measurements is smaller than variables. The proposed methodology consists two-steps based on genetic algorithm. Firstly, several runs calibrator performed corresponding pressure flow-rates values averaged overcome non-uniqueness...
A reliable short-term forecasting model is fundamental to managing a water distribution system properly. This study addresses the problem of efficient development deep neural network for consumption in small-scale supply systems. These aqueducts experience significant fluctuations their due small number users, making them challenging task. To deal with this issue, proposes procedure develop an ensemble model. reinforce successfully weekly and yearly seasonality which affect these data, two...