The increasing availability of high-resolution topographic data and the ever-growing computational potential of workstations enable us to simulate inundation events with higher accuracy across geographically larger areas. Recent studies suggest using fully two-dimensional (2D) models with high resolution in order to avoid uncertainties and limitations coming from the incorrect interpretation of flood dynamics and unrealistic reproductions of the terrain topography. Additionally, low-frequency high-magnitude events bring additional challenges as conventional structural flood protection systems (e.g. levees), which are omnipresent in floodplain landscapes, might collapse due to hydraulic conditions such as high water loads, durations and velocities, or geotechnical factors that weaken structures (e.g. burrowing animal activities). Therefore, it is important to jointly consider the distribution of the inundated zones, potential levee breaching and holistic river-system behaviour when assessing flood hazard. In order to address the abovementioned challenges the present research focuses on the high-resolution flood simulations performed on geographically large areas using 2D inundation models with a specific focus on complex topography (e.g. main and minor levee systems, embankments, artificial canals, etc.). Our study evaluates and compares numerical models of different complexity by testing them on a floodplain inundation event that occurred in the basin of the Secchia River, Northern Italy, on 19th January, 2014. Then, we test fully 2D raster-based model to simulate the event on the 350 km long stretch on the mid-lower portion of the Po River and provide insight on the input terrain resolutions, accuracy and computation time. Moreover, this Thesis aims at developing and testing a new tool, which allows for an efficient levee breach modelling and river dynamic tracking in fully 2D mode.

Development and Testing of Numerical Hydrodynamic Tools for Large-scale Flood Hazard and Risk Assessment

2020

Abstract

The increasing availability of high-resolution topographic data and the ever-growing computational potential of workstations enable us to simulate inundation events with higher accuracy across geographically larger areas. Recent studies suggest using fully two-dimensional (2D) models with high resolution in order to avoid uncertainties and limitations coming from the incorrect interpretation of flood dynamics and unrealistic reproductions of the terrain topography. Additionally, low-frequency high-magnitude events bring additional challenges as conventional structural flood protection systems (e.g. levees), which are omnipresent in floodplain landscapes, might collapse due to hydraulic conditions such as high water loads, durations and velocities, or geotechnical factors that weaken structures (e.g. burrowing animal activities). Therefore, it is important to jointly consider the distribution of the inundated zones, potential levee breaching and holistic river-system behaviour when assessing flood hazard. In order to address the abovementioned challenges the present research focuses on the high-resolution flood simulations performed on geographically large areas using 2D inundation models with a specific focus on complex topography (e.g. main and minor levee systems, embankments, artificial canals, etc.). Our study evaluates and compares numerical models of different complexity by testing them on a floodplain inundation event that occurred in the basin of the Secchia River, Northern Italy, on 19th January, 2014. Then, we test fully 2D raster-based model to simulate the event on the 350 km long stretch on the mid-lower portion of the Po River and provide insight on the input terrain resolutions, accuracy and computation time. Moreover, this Thesis aims at developing and testing a new tool, which allows for an efficient levee breach modelling and river dynamic tracking in fully 2D mode.
24-mar-2020
Inglese
Castellarin, Attilio
Università degli Studi di Bologna
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/151243
Il codice NBN di questa tesi è urn:nbn:it:unibo-26095