Advances in experimental modelling of urban flooding

Rubinato, Matteo; Lashford, Craig; Goerke, Marcel

doi:10.2166/9781789060768_0235

Cited by 11 publications

(10 citation statements)

References 100 publications

(97 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The test case configuration is installed on top of an existing experimental flume and is illustrated in Fig. 5a (Rubinato 2015). The flume slopes at 0.001 m/m and has a smooth surface (nM = 0.011 s m -1/3 ), where a quasi-steady flow develops.…”

Section: Recirculation Flow In Sharp Building Cavitiesmentioning

confidence: 99%

Shallow-Flow Velocity Predictions Using Discontinuous Galerkin Solutions

et al. 2023

View full text Add to dashboard Cite

Numerical solvers of the two-dimensional (2D) shallow water equations (2D-SWE) can be an efficient option to predict spatial distribution of velocity fields in quasi-steady flows past or throughout hydraulic engineering structures. A second-order finite volume solver (FV2) spuriously elongates small-scale recirculating eddies within its predictions, unless sustained by an artificial eddy viscosity, while a third-order finite volume (FV3) solver can distort the eddies within its predictions. The extra complexity in a second-order discontinuous Galerkin (DG2) solver leads to significantly reduced error dissipation and improved predictions at a coarser resolution, making it a viable contender to acquire velocity predictions in shallow flows. This paper analyses this predictive capability for a grid-based, open source DG2 solver with reference to FV2 or FV3 solvers for simulating velocity magnitude and direction at the sub-meter scale. The simulated predictions are assessed against measured velocity data for four experimental test cases. The results consistently indicate that the DG2 solver is a competitive choice to efficiently produce more accurate velocity distributions for the simulations dominated by smooth flow regions. Practical ApplicationsThe estimation of the spatial distribution of horizontal velocity fields is useful to analyse the design of hydraulic and flood-defence structures undergoing shallow water flow processes. Examples include flooding through a residential area with piered buildings where recirculation flow eddies occur within side cavities, past building blocks, and across of street junctions. This paper demonstrates the utility of a relatively new hydraulic simulation tool, so-called DG2 solver, as an alternative to existing finite volume solvers featured in popular tools such as HEC-RAS 2D, Rubar20, Iber and TUFLOW-HPC. The DG2 solver is open source, as part of the LISFLOOD-FP 8.0 software suite, and particularly excels in the estimation of velocity fields that are more informative of the flow processes within a few minutes of simulation time. The proposed simulation tool is limited to modelling problems where the depth-integrated assumption of the shallow water equations is appropriate.

show abstract

Section: Recirculation Flow In Sharp Building Cavitiesmentioning

confidence: 99%

Shallow-Flow Velocity Predictions Using Discontinuous Galerkin Solutions

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Although progress has been made in dataset productions to calibrate and validate hydrodynamic models, a lack of information still exists. In some areas, there is no access to flow data recording equipment, and in areas where these are available, the expenses of maintaining and optimizing such devices and regularly controlling them can make the collecting calibration data infeasible or unreliable [25]. In particular, in DCs, obtaining detailed hydrological and hydraulic data is challenging; consequently, approaches that do not demand detailed data for generating acceptable results are of interest [26].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Performance of LISFLOOD-FP and SWMM for a Small Watershed with Scarce Data Availability

Sadeghi

Rubinato

Goerke³

et al. 2022

Water

View full text Add to dashboard Cite

Flooding events are becoming more frequent and the negative impacts that they are causing globally are very significant. Current predictions have confirmed that conditions linked with future climate scenarios are worsening; therefore, there is a strong need to improve flood risk modeling and to develop innovative approaches to tackle this issue. However, the numerical tools available nowadays (commercial and freeware) need essential data for calibration and validation purposes and, regrettably, this cannot always be provided in every country for dissimilar reasons. This work aims to examine the quality and capabilities of open-source numerical flood modeling tools and their data preparation process in situations where calibration datasets may be of poor quality or not available at all. For this purpose, EPA’s Storm Water Management Model (SWMM) was selected to investigate 1D modeling and LISFLOOD-FP was chosen for 2D modeling. The simulation results obtained with freeware products showed that both models are reasonably capable of detecting flood features such as critical points, flooding extent, and water depth. However, although working with them is more challenging than working with commercial products, the quality of the results relative to the reference map was acceptable. Therefore, this study demonstrated that LISFLOOD-FP and SWMM can cope with the lack of these variables as a starting point and has provided steps to undertake to generate reliable results for the need required, which is the estimation of the impacts of flooding events and the likelihood of their occurrence.

show abstract

“…Physical modeling and experimental downscaling through similarity provide another option to establish benchmark data sets for numerical model validation (Rubinato et al., 2020). Urban flooding involves free surface flow, and downscaling from prototype scale (i.e., real‐world) to model scale can be achieved with Froude similarity, that is, by maintaining the ratio of inertia forces to gravity the same in the prototype and the physical model.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Study of the Effect of Model Geometric Distortion on Laboratory Modeling of Urban Flooding

Kitsikoudis

Mignot

et al. 2021

Water Resources Research

View full text Add to dashboard Cite

Flooding is a natural hazard with dire economic consequences that can even threaten human lives in extreme cases (Jonkman, 2005). The impact of flooding can become extremely severe particularly in densely populated urban areas. Consequently, the accurate estimation of urban flooding has become an integral component of flood risk management and assessment in times of climate change (Hettiarachchi et al., 2018;Jenkins et al., 2017;Liu et al., 2018) and rapid urbanization (Chen et al., 2015), while it is also needed to support adaptation strategies (Zhou et al., 2018).Urban flooding is a complicated phenomenon due to intricate urban layouts, with flows in various branches meeting in junctions (Riviere et al., 2011;Schindfessel et al., 2015) or being divided in bifurcations (El Kadi Abderrezzak et al., 2011;Momplot et al., 2017). Hence, urban flooding needs to be modeled at least as two-dimensional (2D) shallow flow (Arrault et al., 2016;Mignot et al., 2006) without any further simplifications, such as those that can be done in, for example, river flooding in more rural areas (Kitsikoudis et al., 2020).

show abstract

Advances in experimental modelling of urban flooding

Cited by 11 publications

References 100 publications

Shallow-Flow Velocity Predictions Using Discontinuous Galerkin Solutions

Shallow-Flow Velocity Predictions Using Discontinuous Galerkin Solutions

Assessing the Performance of LISFLOOD-FP and SWMM for a Small Watershed with Scarce Data Availability

Experimental and Numerical Study of the Effect of Model Geometric Distortion on Laboratory Modeling of Urban Flooding

Contact Info

Product

Resources

About