Validation of a computationally efficient 2D inundation model on multiple scales

Jamieson, Sam Robert; Wright, Grant; Lhomme, Julien; Gouldby, Ben

doi:10.1201/b13715-69

Cited by 8 publications

(9 citation statements)

References 2 publications

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“…() has developed a coupled 1D/2D model for the Amazon catchment with the fully dynamic river network model coupled to a simple floodplain storage model, where the floodplain is represented by discrete storage compartments. More complex handling of floodplain inundation was proposed by applying simplified versions of shallow water equations to regular storage cells as well as to irregular storage cells (Jamieson et al ., ). Besides numerous small‐scale applications, regular raster‐based inundation models were applied to the Amazon (Wilson et al ., ), Ob (Biancamaria et al ., ), Pantanal (da Paz et al ., , ) river basins and recently to an 800‐km reach of the Niger using a subgrid channel parameterisation (Neal et al ., ).…”

Section: Introductionmentioning

confidence: 99%

Continuous, large‐scale simulation model for flood risk assessments: proof‐of‐concept

Falter

Dũng

Vorogushyn

et al. 2014

J Flood Risk Management

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In this paper we present the Regional Flood Model (RFM), a process‐based model cascade developed for large‐scale basins. The objective of this study is to demonstrate that flood risk assessments, based on a continuous simulation approach, including rainfall–runoff, 1D river network, 2D hinterland inundation and damage estimation models, are feasible at the scale of large catchments. RFM is applied to the German part of the Elbe catchment including around 2700 river‐km. For this proof‐of‐concept study, simulations are performed continuously over the period of 1990–2003. Simplification of equations and parallelisation enable the continuous 2D hydrodynamic inundation simulation with reasonable run‐times on a relatively high resolution of 100 m. As uncertainties are introduced with each module along the model chain, results are evaluated, where possible, with observed data. Results indicate that uncertainties are significant, especially for hydrodynamic simulations. This is basically a consequence of low data quality and disregarding dike breach effects in the simulations. Reliable information on overbank cross‐sections and dikes is expected to considerably improve the results. We conclude that the large‐scale simulation of catchment processes, inundation and damage, driven by long‐term climate data, is viable within a continuous simulation framework. It has the potential to provide a spatially consistent, large‐scale picture of flood risk.

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Section: Introductionmentioning

confidence: 99%

Continuous, large‐scale simulation model for flood risk assessments: proof‐of‐concept

Falter

Dũng

Vorogushyn

et al. 2014

J Flood Risk Management

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“…The more traditional models use topography that has been discretised with ,10 000 elements (approximately 20 m resolution); RFSM EDA is able to discretise the model domain with 16 elements, while retaining the full 2 m resolution DTM that is available for the flux computations at the cell interfaces. The significant reduction in the number of computational elements used by RFSM EDA when compared with models using a more traditional mesh can offer substantial improvements in run-time (Jamieson et al, 2012b). Figure 3 shows a velocity comparison with the Infoworks ICM model for test 5 from the same series of tests.…”

Section: Model Verificationmentioning

confidence: 95%

“…It results in the production of a relatively coarse mesh for the flow calculations, while retaining the key topographical features (crests (communication points) and depressions (accumulation points), see Figure 1) defined in the input DTM ( Figure 1). A detailed description of the model is provided in Jamieson et al (2012aJamieson et al ( , 2012b; a summary description is provided below.…”

Section: Model Backgroundmentioning

confidence: 99%

A flood risk analysis model with topographical inundation and life-loss

Gouldby¹,

Lhomme²,

Jamieson³

et al. 2015

Proceedings of the Institution of Civil Engineers - Water Manag

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Quantified models of flood risk that incorporate an explicit representation of the performance of flood defence infrastructure are becoming an increasingly important component of efforts to manage flood risk. The models have been applied to support a wide range of decisions, including long-term strategic planning, assessment of investment needs and shorter-term asset management. The model currently applied in practice by the Environment Agency in England and Wales makes a number of simplifying assumptions to achieve computationally practical run-times. One of these simplifications relates to the volume-based flood-spreading algorithm that is applied. This paper describes the implementation of a new time-based inundation model within the existing risk analysis modelling approach. The new inundation model offers a significant increase in the representation of the physical processes within the flood simulation component of the risk analysis model. It also offers new outputs in terms of estimates of maximum depths and flood velocities. Velocities are known to be an important factor in flood-related fatalities. A simplified method to estimate life-loss has been combined with new output from the improved inundation model to illustrate how estimates of risk to life could be provided.

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“…These models pass standardized point series data through a second file‐based interface called the Q‐Interface (or Flow Interface) to a suite of hydraulic models. These include an OpenMI (OGC OpenMI 2.0, ) composition incorporating MASCARET (Goutal and Maurel, ; Goutal et al ., ) and RFSM‐EDA (Jamieson et al ., , b) and also Delft3D (Roelvink and Van Banning, ). The numerical models within each of the three domains are interoperable in the sense that they all can be interchanged and each set is extensible, readily admitting new models that perform the same (or similar) function.…”

Section: Methodsmentioning

confidence: 99%

Using OpenMI and a Model MAP to Integrate WaterML2 and NetCDF Data Sources into Flood Modeling of Genoa, Italy

Harpham

Lhomme

Parodi

et al. 2016

J American Water Resour Assoc

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Extreme hydrometeorological events such as flash floods have caused considerable loss of life and damage to infrastructure over recent years. Flood events in the Mediterranean region between 1990 and 2006 caused over 4,500 fatalities and cost over €29 billion in damage, with Italy one of the worst affected countries. The Distributed Computing Infrastructure for Hydro-Meteorology (DRIHM) project is a European initiative aiming at providing an open, fully integrated eScience environment for predicting, managing, and mitigating the risks related to such extreme weather phenomena. Incorporating both modeled and observational data sources, it enables seamless access to a set of computing resources with the objective of providing a collection of services for performing experiments with numerical models in meteorology, hydrology, and hydraulics. The purpose of this article is to demonstrate how this flexible modeling architecture has been constructed using a set of standards including the NetCDF and WaterML2 file formats, in-memory coupling with OpenMI, controlled vocabularies such as CF Standard Names, ISO19139 metadata, and a Model MAP (Metadata, Adaptors, Portability) gateway concept for preparing numerical models for standardized use. Hydraulic results, including the impact to buildings and hazards to people, are given for the use cases of the severe and fatal flash floods, which occurred in Genoa, Italy in November 2011 and October 2014.(KEY TERMS: computational methods; flooding; OpenMI; WaterML2; data management.)

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Validation of a computationally efficient 2D inundation model on multiple scales

Cited by 8 publications

References 2 publications

Continuous, large‐scale simulation model for flood risk assessments: proof‐of‐concept

Continuous, large‐scale simulation model for flood risk assessments: proof‐of‐concept

A flood risk analysis model with topographical inundation and life-loss

Using OpenMI and a Model MAP to Integrate WaterML2 and NetCDF Data Sources into Flood Modeling of Genoa, Italy

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