Daniele Pietro Viero

发表

Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017)

Daniele Pietro Viero, D. P. Viero, 2017 .

Minimization, equivalence and fate of the hydrogeological hazard: a new criterion to manage the flood threats applied to the Padova hydraulic node

Daniele Pietro Viero, Riccardo Mel, Luca Carniello, 2018 .

Mathematical modeling of flooding due to river bank failure

Luca Carniello, Daniele Pietro Viero, Andrea D'Alpaos, 2013 .

Floodwater pathways in urban areas: A method to compute porosity fields for anisotropic subgrid models in differential form

Alessia Ferrari, Daniele Pietro Viero, A. Ferrari, 2020 .

Remote Sensing for Optimal Estimation of Water Temperature Dynamics in Shallow Tidal Environments

Sonia Silvestri, Daniele Pietro Viero, Luca Carniello, 2019, Remote. Sens..

Modelling urban floods using a finite element staggered scheme with an anisotropic dual porosity model

Daniele Pietro Viero, D. P. Viero, 2019, Journal of Hydrology.

Integrated mathematical modeling of hydrological and hydrodynamic response to rainfall events in rural lowland catchments

Luca Carniello, Daniele Pietro Viero, Andrea Defina, 2014 .

Modeling anisotropy in free-surface overland and shallow inundation flows.

Daniele Pietro Viero, Mohammad Valipour, M. Valipour, 2017 .

Multipurpose Use of Artificial Channel Networks for Flood Risk Reduction: The Case of the Waterway Padova–Venice (Italy)

Luca Carniello, Daniele Pietro Viero, Riccardo Mel, 2020, Water.

Simplified methods for real-time prediction of storm surge uncertainty: The city of Venice case study

Luca Carniello, Daniele Pietro Viero, Riccardo Mel, 2014 .

Modelling urban floods using a finite element staggered scheme with porosity and anisotropic resistance

Daniele Pietro Viero, D. P. Viero, 2018 .