Using damage reports to assess different versions of a hydrological early warning system

Defrance, Dimitri; Javelle, Pierre; Organde, Didier; Ecrepont, Stéphane; Andréassian, Vazken; Arnaud, Patrick

doi:10.5194/hessd-11-4365-2014

Cited by 3 publications

(9 citation statements)

References 29 publications

(31 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…-The availability of a long-term database of impacts over a territory. This may include impacts on the protected forested domain managed by the French ONF agency (National Forests Office; see also Defrance et al, 2014). This database contains information on damage and protection infrastructure against landslides, gullying and flooding in the Alps and the Pyrenees.…”

Section: Genericity Of the Evaluation Methodsmentioning

confidence: 99%

“…The IRIP model is briefly described here, but more details can be found in the literature (Dehotin and Breil, 2011;Lagadec et al, 2018). The present description is mainly taken from Lagadec et al (2018), which retained improvements proposed by Lagadec (2017) to the IRIP model.…”

Section: The Irip Mapping Modelmentioning

confidence: 99%

“…Thus, this kind of model may be difficult to deploy in large territories. An alternative solution, called IRIP, or "indicator of intense pluvial runoff", was proposed by Dehotin and Breil (2011) for mapping the susceptibility to surface runoff. The IRIP model allows the creation of three maps documenting three different phases of the surface runoff phenomenon: generation, transfer and accumulation.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, indirect information on runoff-related impacts can be more easily available, as runoff may have damaging consequences such as flooding of buildings or of transport networks (roads or railways), mudflows, erosion, or landslides. Information on these impacts can be collected and reported based on various media: post-event surveys to collect the location of impacts on infrastructures or on transport networks (Versini et al, 2010b;Naulin et al, 2013;Defrance et al, 2014;Lagadec et al, 2016bLagadec et al, , 2018, insurance claims on buildings or infrastructures (Moncoulon et al, 2014;Le Bihan et al, 2017), analyses of the press and social media (Llasat et al, 2013;Saint Martin et al, 2018;Petrucci et al, 2019), or citizen science (Gourley et al, 2010;Le Coz et al, 2016). All these data are referred to as "proxy data" in this paper.…”

Section: Introductionmentioning

confidence: 99%

“…Such data have been used for the evaluation of quantitative flash-flood forecasting models (e.g. Gourley et al, 2010;Defrance et al, 2014;Javelle et al, 2014;Saint-Martin et al, 2016), road cutting warning models (Versini et al, 2010b;Naulin et al, 2013) or flooding impact models on buildings (Le Bihan et al, 2017). The evaluation is based on criteria that are used for the evaluation of meteorological or hydrological forecasts (WWRP/WGNE Joint Working Group on Forecast Verification Research, 2015), i.e.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A method to use proxy data of runoff-related impacts for the evaluation of a model mapping intense storm runoff hazard: application to the railway context

Braud

Lagadec

Moulin

et al. 2020

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. The IRIP method, or “indicator of intense pluvial runoff” in English, is a geomatics method that allows mapping the susceptibility of a territory to surface runoff and that provides three maps of susceptibility to the generation, transfer and accumulation of runoff. It is based on the combination of binary maps that represent the impact of a given factor (favourable or not favourable) on runoff. These factors are summed up to provide susceptibility maps for runoff with levels ranging from 0 to 5. To be used for risk prevention, the quality and limitations of the produced maps must be assessed. However, direct runoff data are very scarce and not available everywhere in a territory. Proxy data of impacts related to runoff can provide information useful for the evaluation of the IRIP maps. However, both pieces of information cannot be compared directly, and a specific methodology to compare susceptibility maps and proxy data must be proposed. This paper presents such a method, which accounts for the hazard level, the vulnerability of the study area and possible mitigation actions taken to reduce the risk. The evaluation method is assessed using a comprehensive database of runoff-related impacts collected on an 80 km railway line in Normandy (north of France) and covering the whole 20th century. The results show that the evaluation method is robust, relevant and generic enough for evaluating a non-quantitative method of runoff hazard mapping using localized runoff-related proxy data. In addition, the good performance of the IRIP model in the case study confirms that the susceptibility maps produced by the IRIP model provide relevant information related to runoff and that they can be used to design risk management strategies, as illustrated in the railway context.

show abstract

Section: Genericity Of the Evaluation Methodsmentioning

confidence: 99%

Section: The Irip Mapping Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A method to use proxy data of runoff-related impacts for the evaluation of a model mapping intense storm runoff hazard: application to the railway context

Braud

Lagadec

Moulin

et al. 2020

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

A surface runoff mapping method for optimizing risk assessment on railways

et al. 2018

View full text Add to dashboard Cite

Railways are critical infrastructures for the transportation of people and goods and network failures must be controlled in order to maintain safety and to limit economic losses. The railway network is exposed to natural hazards and particularly to intense pluvial runoff. Due to the complexity of the phenomenon, management of risks induced by pluvial runoff raises technical and scientific issues. An innovative method for runoff susceptibility mapping, called IRIP for "Indicator of Intense Pluvial Runoff", has been created and adapted to the railway context. The objective of this paper is to evaluate the relevance of the mapping method and to provide application advice. The mapping method is evaluated by comparison with the results of a hydraulic diagnosis, on a 20 km railway line, using quantitative and qualitative comparisons. On the basis of contingency tables, probabilities of detection (POD, railway sections exposed and detected by IRIP) and false alarm ratios (FAR, railway sections detected by IRIP whereas they are not exposed) are computed. POD range from 94 to 100% and FAR range from 20 to 26%. Then spatial information provided by the maps is compared with field observations and recommendations. It is shown that the mapping method can bring substantial contribution to risk identification and that the IRIP method can allow pushing forward the current risk reduction methods. Thus, the surface runoff maps open up new opportunities to manage surface runoff, such as targeting mitigation actions at the origin of the hazard in partnership with the other territory stakeholders.

show abstract

Evaluation of a model for mapping intense pluvial runoff hazard using proxy data of runoff-related impacts. Application to the railway context

Braud

Lagadec

Moulin

et al. 2019

Preprint

View full text Add to dashboard Cite

Abstract. The IRIP method, for Indicator of intense pluvial runoff, in French, is a geomatics method which allows mapping the susceptibility of territory to surface runoff and that provides three maps of susceptibility to the generation, transfer and accumulation of runoff. It is based on the combination of binary maps that represent the impact of a given factor (favourable or not favourable) to runoff. These factors are summed up to provide susceptibility maps to runoff with levels ranging from 0 to 5. To be used for risk prevention, the quality and limitations of the produced maps must be assessed. However, runoff data are very scarce and not available everywhere in a territory. Proxy data of impacts related to runoff can provide information useful for the evaluation of the IRIP maps. However, both information cannot be compared directly and a specific methodology to compare susceptibility maps and proxy data must be proposed. This paper presents such a method that accounts for the hazard level, the vulnerability of the study area and possible mitigation actions taken to reduce the risk. The evaluation method is assessed using runoff-related impacts on railways as proxy data to compare with the maps. The evaluation is made on a 80 km railway line in Normandy (North of France), where a comprehensive database of runoff-related impacts on the railway has been gathered over the whole 20th century. The results show that the evaluation method is robust and relevant. The comparison with runoff-related impacts on the railway also shows that the susceptibility maps produced by the IRIP model provide relevant information related to runoff and that they can be used to design risk management strategies, as illustrated in the railway context.

show abstract

Using damage reports to assess different versions of a hydrological early warning system

Cited by 3 publications

References 29 publications

A method to use proxy data of runoff-related impacts for the evaluation of a model mapping intense storm runoff hazard: application to the railway context

A method to use proxy data of runoff-related impacts for the evaluation of a model mapping intense storm runoff hazard: application to the railway context

A surface runoff mapping method for optimizing risk assessment on railways

Evaluation of a model for mapping intense pluvial runoff hazard using proxy data of runoff-related impacts. Application to the railway context

Contact Info

Product

Resources

About