Abstract
The potential flood inundation extent can be estimated with flood inundation models, which can differ in the level of physical and numerical modelling complexity included in the solution procedure. In recent years, several studies have highlighted the benefits of shock-capturing flood inundation models, particularly when modelling a high Froude number or supercritical flows, or in areas prone to the occurrence of rapidly varying flood events, such as flash floods. Nonetheless, decision makers are often reluctant to implement more complex modelling tools into practical flood inundation modelling studies, unless evidence is provided to establish when such refined modelling tools should be used. The main objective of this study was to determine a general threshold value of the bottom slope that could be used by decision makers as an orientation guide to ascertain when to use a specific type of flood inundation model. The results obtained suggest that in torrential river basins or catchments (i.e., river basins and catchments with a bed slope generally greater than 1%), the flood inundation modelling should be conducted by using a flood inundation model that include shock-capturing algorithms in the model solution procedure.
Highlights
Flood risk is expected to increase significantly in the future as a result of climate change, an increase in the world’s population and intensified urbanisation in flood-prone areas [1,2,3,4].recent flood events in the UK have led to a comprehensive government review of natural flood resilience [5]
Model were considered in this study, including: (i) a configuration that included a shock-capturing capability (i.e., the total variation diminishing (TVD) test case), (ii) a configuration that solved the full 2D shallow water equations, and (iii) a configuration based on a simplified version of the 2D shallow water equations, i.e., without the advection terms
A configuration that included shock-capturing ability; a configuration that solved the full 2D shallow water equations; a configuration based on a simplified version of the 2D shallow water equations that excluded the advection terms
Summary
Flood risk is expected to increase significantly in the future as a result of climate change, an increase in the world’s population and intensified urbanisation in flood-prone areas [1,2,3,4].recent flood events in the UK have led to a comprehensive government review of natural flood resilience [5]. Two-dimensional (2D) flood inundation modelling is nowadays one of the key components of the majority of flood risk assessment and management strategies. Such 2D hydrodynamic models can be divided into three general categories. A number of studies have focused on benchmarking different types of 2D flood inundation models for a range of various test cases and/or real flood events [6,7,8,9,10] Such studies have outlined the main differences between 2D models with different complexities, including highlighting the pros and cons of each type of 2D hydrodynamic model, and generally establishing what level of model sophistication is appropriate for modelling various flow conditions
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