La méthode SHYREG débit—application sur 1605 bassins versants en France métropolitaine

Aubert, Yoann; Arnaud, Patrick; Ribstein, Pierre; Fine, Jean-Alain

doi:10.1080/02626667.2014.902061

Cited by 25 publications

(21 citation statements)

References 27 publications

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“…The discharge quantiles are estimated based on the French SHYREG flood frequency database (Aubert et al, 2014). Nevertheless, the accuracy of this information on flow frequency is not crucial for the implementation of the impact model; it just enables the derivation of flood maps for defined discharge values of relatively homogeneous magnitude for all the considered river reaches.…”

Section: Definition Of the Impact Model Based On A Catalogue Of Floodmentioning

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

Hydrol. Earth Syst. Sci.

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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 further 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. the number of inundated buildings versus discharge. These 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 welldocumented 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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Section: Definition Of the Impact Model Based On A Catalogue Of Floodmentioning

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

Hydrol. Earth Syst. Sci.

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“…Flood quantiles were then defined through frequency analysis, and an aggregation approach was used to guarantee flood quantile spatial coherence at the catchment scale. The approach was validated against quantiles estimated from observed discharge time series from over 1000 stations in France (Aubert et al ., ).…”

Section: Methodsmentioning

confidence: 97%

Generating precipitation ensembles for flood alert and risk management

Caseri¹,

Javelle²,

Ramos³

et al. 2015

J Flood Risk Management

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Floods are major natural disasters that, in several occasions, can be responsible for life losses and severe economic damages. Flood forecasting and alert systems are needed to anticipate the arrival of these events and mitigate their impacts. They are particularly important for risk management and response in the nowcasting of flash floods. In this case, precipitation fields are crucial and is important to consider uncertainties coming from the observed precipitation fields used as input data to the system. One approach to take into account these uncertainties is to generate an ensemble of possible scenarios of observed precipitation. The aim of this study is to investigate the potential of a framework that applies a geostatistical conditional simulation method to generate an ensemble of precipitation fields that can be used as input to a distributed rainfall-runoff model to produce probabilistic flood alert maps. The Var region (southeastern France) and 17 events are used to validate the approach. Results show that the proposed method can be useful to generate realistic precipitation scenarios and, ultimately, to provide information on the probability of discharges exceeding critical flood thresholds. It can be a solution to combine information from radar fields and rain gauges to generate precipitation ensembles and quantify uncertainties in input data for hydrological modelling.

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“…This model is a simple GR-type model [80,81] with a single parameter to calibrate. It is composed of a production reservoir whose capacity is related to hydrogeology, a routing reservoir with a uniform capacity and a 2-h unit hydrograph [46]. During a rainfall event, the production reservoir retains water and progressively saturates.…”

Section: Process-based Methodsmentioning

confidence: 99%

“…Different FFA methods were applied and associated with diverse regionalisation techniques. The FFA methods were an at-site Gumbel distribution (also called GEV type I), an at-site GEV distribution fitted with a Bayesian process using a regional a priori, a regional GEV distribution fitted on pooled data (the index flood method) and a process-based simulation approach (the SHYREG method [18,46,47]). To be as exhaustive as possible, different regionalisation schemes were associated with each of the FFA approaches.…”

Section: Introductionmentioning

confidence: 99%

“…The at-site flood quantiles are aggregated to catchment outlets using an areal reduction function solely depending on the drainage area and the simulation time-step [46]. The calibration of the model aims to determine which specific flows (associated with a certain value of the parameter) should be aggregated to minimise the error between the 2-, 5-and 10-year return period SHYREG-simulated quantiles and GEV quantiles for flood peaks and daily flows.…”

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confidence: 99%

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Comparison of Flood Frequency Analysis Methods for Ungauged Catchments in France

Odry¹,

Arnaud²

2017

Geosciences

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Abstract:The objective of flood frequency analysis (FFA) is to associate flood intensity with a probability of exceedance. Many methods are currently employed for this, ranging from statistical distribution fitting to simulation approaches. In many cases the site of interest is actually ungauged, and a regionalisation scheme has to be associated with the FFA method, leading to a multiplication of the number of possible methods available. This paper presents the results of a wide-range comparison of FFA methods from statistical and simulation families associated with different regionalisation schemes based on regression, or spatial or physical proximity. The methods are applied to a set of 1535 French catchments, and a k-fold cross-validation procedure is used to consider the ungauged configuration. The results suggest that FFA from the statistical family largely relies on the regionalisation step, whereas the simulation-based method is more stable regarding regionalisation. This conclusion emphasises the difficulty of the regionalisation process. The results are also contrasted depending on the type of climate: the Mediterranean catchments tend to aggravate the differences between the methods.

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La méthode SHYREG débit—application sur 1605 bassins versants en France métropolitaine

Cited by 25 publications

References 27 publications

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

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

Generating precipitation ensembles for flood alert and risk management

Comparison of Flood Frequency Analysis Methods for Ungauged Catchments in France

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