Regional models for distributed flash-flood nowcasting: towards an estimation of potential impacts and damages

Bihan, G. Le; Payrastre, Olivier; Gaumé, Éric; Moncoulon, David; Pons, Frédéric

doi:10.1051/e3sconf/20160718013

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…One of the major issues remains in the fact that the flood envelope may vary, based on the severity of the flood. Even if some studies try to work on the subject [23] the difficulty to generalize this differentiation to the entire South of France has led us to only consider the larger flood-prone area.…”

Section: Delineation Of the Flood-prone Areamentioning

confidence: 99%

Assessing the exposure to floods to estimate the risk of flood-related damage in French Mediterranean basins

Martin¹,

Fouchier²,

Javelle³

et al. 2016

E3S Web Conf.

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Abstract. The dreadful floods of 1999, 2002 and 2003 in South of France have alerted public opinion on the need for a more efficient and a further generalized national flood-forecasting system. This is why in 2003 Irstea and Meteo-France have implemented a new warning method for flash floods, including on small watersheds, using radar rainfall data in real-time: the AIGA method. This modelling method currently provides real-time information on the magnitude of floods, but doesn't take into account the elements at risk surrounding the river streams. Its benefit for crisis management is therefore limited as it doesn't give information on the actual flood risk. To improve the relevance of the AIGA method, this paper shows the benefits of the combination of hydrological warnings with an exposure index, to be able to assess the risk of flood-related damage in real time. To complete this aim, this work presents an innovative and easily reproducible method to evaluate exposure to floods over large areas with simple land-use data. For validation purpose, a damage database has been implemented to test the relevance of both AIGA warnings and exposure levels. A case study on the floods of the 3 rd October 2015 is presented to test the effectiveness of the combination of hazard and exposure to assess the risk of flood-related damage. This combination seems to give an accurate overview of the streams at risk, where the most important amount of damage has been observed after the flood.

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Section: Delineation Of the Flood-prone Areamentioning

confidence: 99%

Assessing the exposure to floods to estimate the risk of flood-related damage in French Mediterranean basins

Martin¹,

Fouchier²,

Javelle³

et al. 2016

E3S Web Conf.

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show abstract

“…limited risk of backwater influences). The selected roughness coefficient value of 0.05, an average value based on post-event studies (Lumbroso and Gaume, 2012), corresponds well to the locally adjusted one.…”

Section: Comparison Of Water Levels At Stream Gauges Locations (Alès Case Study)mentioning

confidence: 60%

“…3). The roughness coefficient is fixed to n = 0.05 according to the conclusions of Lumbroso and Gaume (2012) about the relevant range of roughness values in the case of flash floods. The downstream limit condition for each reach is the water level computed for the downstream river reach for the discharge of the same return period.…”

Section: Definition Of the Impact Model Based On A Catalogue Of Flood Extent Mapsmentioning

confidence: 99%

The challenge of forecasting impacts of flash floods: test of a simplified hydraulic approach and validation based on insurance claim data

Bihan¹,

Payrastre²,

Gaumé³

et al. 2017

Preprint

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Abstract. Up to now, flash flood monitoring and forecasting systems, based on rainfall radar measurements and distributed rainfall-runoff models, generally aimed at estimating flood magnitudes - typically discharges or return periods – at selected river cross-sections. The approach presented here goes one step ahead by proposing an integrated forecasting chain for the direct assessment of flash flood possible impacts on inhabited areas (number of buildings at risk in the presented case studies). The proposed approach includes, in addition to a distributed rainfall-runoff model, an automatic hydraulic method suited for the computation of flood extent maps on a dense river network and over large territories. The resulting catalogue of flood extent maps is then combined with land use data to build a flood impact curve for each considered river reach: i.e. number of inundated buildings versus discharge. Theses curves are finally used to compute estimated impacts based on forecasted discharges. The approach has been extensively tested in the regions of Alès and Draguignan, located in the South of France, where well documented major flash floods recently occurred. The article presents two types of validation results. First, the automatically computed flood extent maps and corresponding water levels are tested against rating curves at available river gauging stations as well as against local reference or observed flood extent maps. Second, a rich and comprehensive insurance claim database is used to evaluate the relevance of the estimated impacts for some recent major floods.

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Semi-automatic Maps for 2015 French Riviera Floods

Pons

Alquier

Roux

2018

Advances in Hydroinformatics

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Regional models for distributed flash-flood nowcasting: towards an estimation of potential impacts and damages

Cited by 6 publications

References 10 publications

Assessing the exposure to floods to estimate the risk of flood-related damage in French Mediterranean basins

Assessing the exposure to floods to estimate the risk of flood-related damage in French Mediterranean basins

The challenge of forecasting impacts of flash floods: test of a simplified hydraulic approach and validation based on insurance claim data

Semi-automatic Maps for 2015 French Riviera Floods

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