Hydraulic model evaluation for large‐scale flood risk assessments

Falter, Daniela; Vorogushyn, Sergiy; Lhomme, Julien; Apel, Heiko; Gouldby, Ben; Merz, Bruno

doi:10.1002/hyp.9553

Cited by 75 publications

(75 citation statements)

References 36 publications

(58 reference statements)

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“…Previous studies (e.g., [4,19]) demonstrated that choosing the lowest elevation for the route starting cells in the flat-water assumption is appropriate in flat areas. However, Falter et al [12] found a problem related to simplified flood models: isolated ponds were simulated by the infilling at the lowest point. This problem is likely to be less important in areas with a complex topography.…”

Section: Resultsmentioning

confidence: 99%

“…This problem is likely to be less important in areas with a complex topography. Unfortunately, no studies (e.g., [4,12,19]) have provided the definition of a flat area. An additional problem is apparent.…”

Section: Resultsmentioning

confidence: 99%

“…Several studies have developed simplified flood inundation models [4,[6][7][8][9][10][11][12] to simulate potential flood areas. These models are based on the digital elevation model (DEM) and use a simple set of rules to simulate the spread of flood water over a given area.…”

Section: Introductionmentioning

confidence: 99%

“…To develop a high-performance real-time forecasting system by using these complex models, however, requires higher hardware resources and technical skill. Therefore, the development of simplified and cost-effective models (e.g., [6,8,[10][11][12]19]) is still a topic of interest. Lhomme et al [7] developed a simplified hydraulic model (the rapid flood spreading method, RFSM) to maintain model runtimes at practical levels.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Different Grid Cell Ordering Approaches in a Simplified Inundation Model

Yang

Chen

Chang

et al. 2015

Water

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This study proposes a simplified model for non-riverine flood routing using a digital elevation model. The model has the advantage of running with only a few types of input, such as topographic data and cumulative rainfall. Given its ease of use, the model is stable and reliable for developing a real-time inundation forecasting system. This model uses two approaches to determine the collection of cells from which flooding is assumed to originate: (1) A traditional "lowest-elevation approach" that assumes flooding originates from the lowest elevations and that is only based on topographic data; and (2) a novel "D-infinity contributing area approach" that assumes flooding originates at the cells toward which the flow moves and that considers in situ topography and upslope information. The flood water is transferred based on the flat-water assumption that the water levels of adjacent cells are equalized.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison of Different Grid Cell Ordering Approaches in a Simplified Inundation Model

Yang

Chen

Chang

et al. 2015

Water

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“…The near-real-time application of hydrodynamic-numeric models is hampered by the need to provide appropriate estimates of initial and boundary conditions, to assimilate model simulations and observations (Matgen et al, 2007) and by considerable computational costs . Computation time depends particularly on the size of the computational domain and its spatial resolution (Falter et al, 2013) and the complexity level of model equations (Horritt and Bates, 2002). Alternatively, the inundated areas and inundation depths can be calculated in advance for a set of flood scenarios.…”

Section: State Of the Art And Related Workmentioning

confidence: 99%

Social media as an information source for rapid flood inundation mapping

Fohringer

Dransch

Kreibich

et al. 2015

Nat. Hazards Earth Syst. Sci.

206

129

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Abstract. During and shortly after a disaster, data about the hazard and its consequences are scarce and not readily available. Information provided by eyewitnesses via social media is a valuable information source, which should be explored in a more effective way. This research proposes a methodology that leverages social media content to support rapid inundation mapping, including inundation extent and water depth in the case of floods. The novelty of this approach is the utilization of quantitative data that are derived from photos from eyewitnesses extracted from social media posts and their integration with established data. Due to the rapid availability of these posts compared to traditional data sources such as remote sensing data, areas affected by a flood, for example, can be determined quickly. The challenge is to filter the large number of posts to a manageable amount of potentially useful inundation-related information, as well as to interpret and integrate the posts into mapping procedures in a timely manner. To support rapid inundation mapping we propose a methodology and develop "PostDistiller", a tool to filter geolocated posts from social media services which include links to photos. This spatial distributed contextualized in situ information is further explored manually. In an application case study during the June 2013 flood in central Europe we evaluate the utilization of this approach to infer spatial flood patterns and inundation depths in the city of Dresden.

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Quantifying the importance of spatial resolution and other factors through global sensitivity analysis of a flood inundation model

Savage

Pianosi

Bates

et al. 2016

Water Resources Research

116

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Where high-resolution topographic data are available, modelers are faced with the decision of whether it is better to spend computational resource on resolving topography at finer resolutions or on running more simulations to account for various uncertain input factors (e.g., model parameters). In this paper we apply global sensitivity analysis to explore how influential the choice of spatial resolution is when compared to uncertainties in the Manning's friction coefficient parameters, the inflow hydrograph, and those stemming from the coarsening of topographic data used to produce Digital Elevation Models (DEMs). We apply the hydraulic model LISFLOOD-FP to produce several temporally and spatially variable model outputs that represent different aspects of flood inundation processes, including flood extent, water depth, and time of inundation. We find that the most influential input factor for flood extent predictions changes during the flood event, starting with the inflow hydrograph during the rising limb before switching to the channel friction parameter during peak flood inundation, and finally to the floodplain friction parameter during the drying phase of the flood event. Spatial resolution and uncertainty introduced by resampling topographic data to coarser resolutions are much more important for water depth predictions, which are also sensitive to different input factors spatially and temporally. Our findings indicate that the sensitivity of LISFLOOD-FP predictions is more complex than previously thought. Consequently, the input factors that modelers should prioritize will differ depending on the model output assessed, and the location and time of when and where this output is most relevant.

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Hydraulic model evaluation for large‐scale flood risk assessments

Abstract: 17For a nationwide flood risk assessment in Germany, simulations of inundation depth and 18 extent for all major catchments are required. Therefore, a fast two-dimensional hydraulic

Cited by 75 publications

References 36 publications

Comparison of Different Grid Cell Ordering Approaches in a Simplified Inundation Model

Comparison of Different Grid Cell Ordering Approaches in a Simplified Inundation Model

Social media as an information source for rapid flood inundation mapping

Quantifying the importance of spatial resolution and other factors through global sensitivity analysis of a flood inundation model

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