The MultiRISK platform: The technical concept and application of a regional-scale multihazard exposure analysis tool

Kappes, Mélanie; Gruber, K.; Frigerio, Simone; Bell, Rainer; Keiler, Margreth; Glade, Thomas

doi:10.1016/j.geomorph.2012.01.024

Cited by 52 publications

(33 citation statements)

References 44 publications

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“…Later, it was used also by other universities and national geological services in France (Kappes et al, 2011), Italy (Blahut et al, 2010, Lari et al, 2011a, Norway (Fischer et al, 2012), Argentina (Baumann et al, 2011) and Pakistan . Flow-R is also part of training materials (van Westen et al, 2010;Kappes et al, 2012).…”

Section: P Horton Et Al: Flow-r a Model For Susceptibility Mappingmentioning

confidence: 99%

Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale

Horton

Jaboyedoff

Rudaz

et al. 2013

Nat. Hazards Earth Syst. Sci.

212

267

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Abstract. The development of susceptibility maps for debris flows is of primary importance due to population pressure in hazardous zones. However, hazard assessment by process-based modelling at a regional scale is difficult due to the complex nature of the phenomenon, the variability of local controlling factors, and the uncertainty in modelling parameters. A regional assessment must consider a simplified approach that is not highly parameter dependant and that can provide zonation with minimum data requirements. A distributed empirical model has thus been developed for regional susceptibility assessments using essentially a digital elevation model (DEM). The model is called Flow-R for Flow path assessment of gravitational hazards at a Regional scale (available free of charge under http://www.flow-r.org) and has been successfully applied to different case studies in various countries with variable data quality. It provides a substantial basis for a preliminary susceptibility assessment at a regional scale. The model was also found relevant to assess other natural hazards such as rockfall, snow avalanches and floods. The model allows for automatic source area delineation, given user criteria, and for the assessment of the propagation extent based on various spreading algorithms and simple frictional laws. We developed a new spreading algorithm, an improved version of Holmgren's direction algorithm, that is less sensitive to small variations of the DEM and that is avoiding over-channelization, and so produces more realistic extents. The choices of the datasets and the algorithms are open to the user, which makes it compliant for various applications and dataset availability. Amongst the possible datasets, the DEM is the only one that is really needed for both the source area delineation and the propagation assessment; its quality is of major importance for the results accuracy. We consider a 10 m DEM resolution as a good compromise between processing time and quality of results. However, valuable results have still been obtained on the basis of lower quality DEMs with 25 m resolution.

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Section: P Horton Et Al: Flow-r a Model For Susceptibility Mappingmentioning

confidence: 99%

Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale

Horton

Jaboyedoff

Rudaz

et al. 2013

Nat. Hazards Earth Syst. Sci.

212

267

View full text Add to dashboard Cite

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“…They are used in reinsurance, large scale flood preparedness and emergency response and can also be used as benchmarks for future flood forecasting or climate impact assessment (e.g. Kappes et al, 2012;Willis, 2012;SwissRe, 2012).…”

Section: Introductionmentioning

confidence: 99%

Deriving global flood hazard maps of fluvial floods through a physical model cascade

Pappenberger

Dutra

Wetterhall

et al. 2012

Hydrol. Earth Syst. Sci.

201

177

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Abstract. Global flood hazard maps can be used in the assessment of flood risk in a number of different applications, including (re)insurance and large scale flood preparedness. Such global hazard maps can be generated using large scale physically based models of rainfall-runoff and river routing, when used in conjunction with a number of post-processing methods. In this study, the European Centre for Medium Range Weather Forecasts (ECMWF) land surface model is coupled to ERA-Interim reanalysis meteorological forcing data, and resultant runoff is passed to a river routing algorithm which simulates floodplains and flood flow across the global land area. The global hazard map is based on a 30 yr (1979-2010) simulation period. A Gumbel distribution is fitted to the annual maxima flows to derive a number of flood return periods. The return periods are calculated initially for a 25 × 25 km grid, which is then reprojected onto a 1 × 1 km grid to derive maps of higher resolution and estimate flooded fractional area for the individual 25 × 25 km cells. Several global and regional maps of flood return periods ranging from 2 to 500 yr are presented. The results compare reasonably to a benchmark data set of global flood hazard. The developed methodology can be applied to other datasets on a global or regional scale.

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“…Developing global-scale flood maps (Porter and Demeritt, 2012) is of increasing interest in the scientific community with great applicability in the (re)insurance industry. Global gridded precipitation data sets from satellites and reanalysis data sets derived from data assimilation systems are two main sources for deriving global flood hazard maps (Cloke et al, 2013;Kappes et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Satellite-driven downscaling of global reanalysis precipitation products for hydrological applications

Seyyedi

Anagnostou

Beighley

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. Deriving flood hazard maps for ungauged basins typically requires simulating a long record of annual maximum discharges. To improve this approach, precipitation from global reanalysis systems must be downscaled to a spatial and temporal resolution applicable for flood modeling. This study evaluates such downscaling and error correction approaches for improving hydrologic applications using a combination of NASA's Global Land Data Assimilation System (GLDAS) precipitation data set and a higher resolution multi-satellite precipitation product (TRMM). The study focuses on 437 flood-inducing storm events that occurred over a period of ten years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011) in the Susquehanna River basin located in the northeastern United States. A validation strategy was devised for assessing error metrics in rainfall and simulated runoff as function of basin area, storm severity, and season. The WSR-88D gauge-adjusted radar-rainfall (stage IV) product was used as the reference rainfall data set, while runoff simulations forced with the stage IV precipitation data set were considered as the runoff reference. Results show that the generated rainfall ensembles from the downscaled reanalysis product encapsulate the reference rainfall. The statistical analysis consists of frequency and quantile plots plus mean relative error and root-mean-square error statistics. The results demonstrated improvements in the precipitation and runoff simulation error statistics of the satellite-driven downscaled reanalysis data set compared to the original reanalysis precipitation product. Results vary by season and less by basin scale. In the fall season specifically, the downscaled product has 3 times lower mean relative error than the original product; this ratio increases to 4 times for the simulated runoff values. The proposed downscaling scheme is modular in design and can be applied on any gridded satellite and reanalysis data set.

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The MultiRISK platform: The technical concept and application of a regional-scale multihazard exposure analysis tool

Cited by 52 publications

References 44 publications

Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale

Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale

Deriving global flood hazard maps of fluvial floods through a physical model cascade

Satellite-driven downscaling of global reanalysis precipitation products for hydrological applications

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