maurizio righetti

full professor

Libera Università di Bolzano

Italy

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Professor Maurizio Righetti is a Full Professor at Libera Università di Bolzano, Italy. His research areas include hydrology, water demand forecasting, and sediment yield modelling, as evident from his recent articles on topics such as bias correction methods for climate models and the application of graph neural networks in water distribution systems. He is actively involved in developing innovative methods for hydrological modelling and forecasting related to water resources.

Articles (14)

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2025

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2025

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2024

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2024

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (12)

Andrea Menapace

Assistant Professor (RTD junior)

Free University of Bozen-Bolzano

ITALY

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Bruno Majone

Associate Professor

University of Trento

ITALY

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Francesco Ravazzolo

Full Professor

Free University of Bozen-Bolzano

ITALY

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Francesco Comiti

ITALY

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Diego Avesani

University of Trieste

ITALY

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Giuseppe Roberto Pisaturo

Free University of Bozen-Bolzano

ITALY

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Andrea Andreoli

Assistant Professor

Free University of Bozen-Bolzano

ITALY

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Rudy GARGANO

Associate professor

University of Cassino and Southern Lazio

ITALY

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Walter Boscheri

Tenure track Associate Professor

University of Ferrara

ITALY

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Manuel Herrera

UNITED KINGDOM

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Petros Katsafados

Harokopio University of Athens

GREECE

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Francesco Granata

University of Cassino and Southern Lazio

ITALY

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maurizio righetti

Research Interests

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Articles (14)

Review of bias correction methods for climate model outputs in hydrology

Velocity Profiles in Gravel Beds Based on Refractive Index Matching Experiments

Suitability of ERA5-Land reanalysis dataset for hydrological modelling in the Alpine region

Event-based soil erosion and sediment yield modelling for calculating long-term reservoir sedimentation in the Alps

How Does Missing Data Imputation Affect the Forecasting of Urban Water Demand?

Novel approach for burst detection in water distribution systems based on graph neural networks

A short-term water demand forecasting model using multivariate long short-term memory with meteorological data

Graph Convolutional Recurrent Neural Networks for Water Demand Forecasting

An Ensemble Neural Network Model to Forecast Drinking Water Consumption

Forecasting soil erosion and sediment yields during flash floods: The disastrous case of Mandra, Greece, 2017

A mass-conservative semi-implicit volume of fluid method for the Navier–Stokes equations with high order semi-Lagrangian advection scheme

Short-term hydropower optimization driven by innovative time-adapting econometric model

The effects of a sediment flushing on Alpine macroinvertebrate communities

Towards a High Order Convergent ALE-SPH Scheme with Efficient WENO Spatial Reconstruction

Collaborators (12)

Andrea Menapace

Bruno Majone

Francesco Ravazzolo

Francesco Comiti

Diego Avesani

Giuseppe Roberto Pisaturo

Andrea Andreoli

Rudy GARGANO

Walter Boscheri

Manuel Herrera

Petros Katsafados

Francesco Granata

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