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

Many rivers are increasingly threatened by extreme floods, and effective strategies for flood risk mitigation are difficult to pursue, especially in highly urbanized areas. A flexible and multipurpose use of the complex networks of artificial channels that typically cross these regions can play a role in flood risk mitigation. A relevant example concerns the possible completion of a waterway from Padova to the Venice Lagoon, in North-Eastern Italy. Once completed, the waterway can boost shipping (which is considerably more climate and environment friendly than road transport), can lead to a urban re-composition of the territory and, serving as a diversion canal for the Brenta River, can reduce hydraulic hazard as well. The goal of the present work was to assess this last point. To this purpose, the 2DEF hydrodynamic model was used to reproduce the complex Brenta–Bacchiglione river network. This network includes river reaches, diversion canals, bed sills, pump stations, and control structures that assures the proper operation of the system in case of flood events. The mixed Eulerian–Lagrangian, semi-implicit formulation of the model provided accurate and computationally efficient results for subcritical regimes. The model results showed that the waterway can divert a significant part of the Brenta floodwaters toward the Venice Lagoon, thus reducing flood hazard in the Brenta River downstream of Padova. The benefits also extend to the Bacchiglione River, whose floodwaters can be diverted into the Brenta River through an existing flood canal; indeed, the waterway withdrawal produces a drawdown profile in the Brenta River that allows diverting larger flow rates from the Bacchiglione River as well. Finally, by conveying the sediment-laden floodwaters of the Brenta River within the Venice Lagoon, the waterway could contribute to counteract the generalized erosion affecting the lagoon.

[1]  R. Muir-Wood,et al.  Flood risk and climate change: global and regional perspectives , 2014 .

[2]  A. D’Alpaos,et al.  Changes in the wind‐wave field and related salt‐marsh lateral erosion: inferences from the evolution of the Venice Lagoon in the last four centuries , 2019, Earth Surface Processes and Landforms.

[3]  L. Solari,et al.  Insights into lateral marsh retreat mechanism through localized field measurements , 2016 .

[4]  L. D'Alpaos,et al.  Dataset of wind setup in a regulated Venice lagoon , 2019, Data in Brief.

[5]  P. Tarolli,et al.  Hydrological Response to ~30 years of Agricultural Surface Water Management , 2017 .

[6]  J. Albertson,et al.  Evidence of an emerging levee failure mechanism causing disastrous floods in Italy , 2015 .

[7]  P. Tarolli,et al.  Floods, landscape modifications and population dynamics in anthropogenic coastal lowlands: The Polesine (northern Italy) case study. , 2019, The Science of the total environment.

[8]  Mike Hutchins,et al.  The impacts of urbanisation and climate change on urban flooding and urban water quality: A review of the evidence concerning the United Kingdom , 2017 .

[9]  Luca Carniello,et al.  Morphological evolution of the Venice lagoon: Evidence from the past and trend for the future , 2009 .

[10]  L. D'Alpaos,et al.  Two dimensional modelling of flood flows and suspended sediment transport: the case of Brenta River , 2003 .

[11]  Luca Carniello,et al.  Two dimensional modelling of flood flows and suspended sedimenttransport: the case of the Brenta River, Veneto (Italy) , 2004 .

[13]  Francis X. Giraldo,et al.  The Lagrange-Galerkin Method for the Two-dimensional Shallow Water Equations on Adaptive Grids , 2000 .

[15]  A. Defina,et al.  A New Set of Equations for Very Shallow Water and Partially Dry Areas Suitable to 2D Numerical Models , 1994 .

[16]  Piero Lionello,et al.  High resolution climate projection of storm surge at the Venetian coast , 2013 .

[17]  L. D'Alpaos,et al.  Mathematical modeling of tidal hydrodynamics in shallow lagoons: A review of open issues and applications to the Venice lagoon , 2007, Comput. Geosci..

[18]  Andrea Defina,et al.  Two‐dimensional shallow flow equations for partially dry areas , 2000 .

[19]  L. D'Alpaos,et al.  Addressing the effect of the Mo.S.E. barriers closure on wind setup within the Venice lagoon , 2019, Estuarine, Coastal and Shelf Science.

[20]  A. Defina,et al.  Numerical study of the Guderley and Vasilev reflections in steady two- dimensional shallow water flow , 2008 .

[21]  A. Defina,et al.  Water age, exposure time, and local flushing time in semi-enclosed, tidal basins with negligible freshwater inflow , 2016 .

[22]  Luca Carniello,et al.  Integrated mathematical modeling of hydrological and hydrodynamic response to rainfall events in rural lowland catchments , 2014 .

[23]  Changsheng Chen,et al.  An Unstructured Grid, Finite-Volume, Three-Dimensional, Primitive Equations Ocean Model: Application to Coastal Ocean and Estuaries , 2003 .

[24]  P. Claps,et al.  Changing climate both increases and decreases European river floods , 2019, Nature.

[25]  Roy A. Walters,et al.  A robust, finite element model for hydrostatic surface water flows , 1998 .

[26]  Luca Carniello,et al.  Optimal floodgate operation for river flood management: The case study of Padova (Italy) , 2020, Journal of Hydrology: Regional Studies.

[27]  Luca Carniello,et al.  Mathematical modeling of flooding due to river bank failure , 2013 .

[28]  Daniele Pietro Viero,et al.  Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017) , 2017 .

[29]  Paolo Mignosa,et al.  Simulation of the January 2014 flood on the Secchia River using a fast and high-resolution 2D parallel shallow-water numerical scheme , 2015, Natural Hazards.

[30]  S. Guerzoni,et al.  Sediment Budget in the Lagoon of Venice, Italy , 2010 .

[31]  Andrea Rinaldo,et al.  Sea level rise, hydrologic runoff, and the flooding of Venice , 2008 .

[32]  Leonardo Alfonso,et al.  Can assimilation of crowdsourced data in hydrological modelling improve flood prediction , 2017 .

[33]  Luca Carniello,et al.  Simplified methods for real-time prediction of storm surge uncertainty: The city of Venice case study , 2014 .

[34]  Daniele Pietro Viero,et al.  Modelling urban floods using a finite element staggered scheme with an anisotropic dual porosity model , 2019, Journal of Hydrology.

[35]  Vadim E. Panov,et al.  Waterways as Invasion Highways – Impact of Climate Change and Globalization , 2008 .

[36]  Vincent Guinot,et al.  Multiple porosity shallow water models for macroscopic modelling of urban floods , 2012 .

[37]  P. Lionello,et al.  Probabilistic Dressing of a Storm Surge Prediction in the Adriatic Sea , 2016 .

[38]  L. Slater To what extent have changes in channel capacity contributed to flood hazard trends in England and Wales? , 2016 .

[39]  L. Feyen,et al.  Global projections of river flood risk in a warmer world , 2017 .

[40]  Andrea Defina,et al.  Numerical experiments on bar growth , 2003 .

[41]  Andrea Rinaldo,et al.  Biologically‐controlled multiple equilibria of tidal landforms and the fate of the Venice lagoon , 2007 .

[42]  Gabriele Villarini,et al.  Recent trends in U.S. flood risk , 2016 .

[43]  Alessia Ferrari,et al.  Floodwater pathways in urban areas: A method to compute porosity fields for anisotropic subgrid models in differential form , 2020 .

[44]  A. Defina,et al.  Positive Surge Propagation in Sloping Channels , 2017 .

[45]  A. Defina,et al.  Consideration of the Mechanisms for Tidal Bore Formation in an Idealized Planform Geometry , 2018, Water Resources Research.

[46]  P. Tarolli,et al.  Hydrologic impacts of changing land use and climate in the Veneto lowlands of Italy , 2018, Anthropocene.

[47]  Daniele Pietro Viero,et al.  Modeling anisotropy in free-surface overland and shallow inundation flows. , 2017 .

[48]  Jeroen C. J. H. Aerts,et al.  A global framework for future costs and benefits of river-flood protection in urban areas , 2017, Nature Climate Change.

[49]  S. Lanzoni,et al.  Chute cutoffs in meandering rivers: formative mechanisms and hydrodynamic forcing , 2018, Fluvial Meanders and Their Sedimentary Products in the Rock Record.

[50]  N. Arnell,et al.  The impacts of climate change on river flood risk at the global scale , 2016, Climatic Change.

[51]  Bed friction effects on the stability of a stationary hydraulic jump in a rectangular upward sloping channel , 2008 .

[52]  J. A. Cunge,et al.  Intégration numérique des équations d'écoulement de barré de Saint-Venant par un schéma implicite de différences finies , 1964 .

[53]  Peter Stansby,et al.  A mixing-length model for shallow turbulent wakes , 2003, Journal of Fluid Mechanics.

[54]  Louise J. Slater,et al.  Hydrologic versus geomorphic drivers of trends in flood hazard , 2015 .

[55]  A. Defina,et al.  Multiple states in the flow through a sluice gate , 2019 .

[56]  R. Uittenbogaard,et al.  Subgrid-scale model for quasi-2D turbulence in shallow water , 2004 .

[57]  A. Defina,et al.  Open channel flow through a linear contraction , 2010 .

[58]  R. Betts,et al.  Increased human and economic losses from river flooding with anthropogenic warming , 2018, Nature Climate Change.