DamaGIS: a multisource geodatabase for collection of flood-related damage data

Saint-Martin, Clotilde; Javelle, Pierre; Vinet, Freddy

doi:10.5194/essd-10-1019-2018

Cited by 15 publications

(24 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As pointed out in previous research projects (Merz et al, 2014, Meyer et al, 2014 there is a need to integrate climate change scenarios with socio-economic change scenarios to better quantify changes in flood risk. To achieve this task, it is necessary to develop databases on vulnerability and exposure to be analyzed in conjunction with hydrometeorological data (Saint-Martin et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Detection and attribution of flood trends in mediterranean bassins

Tramblay¹,

Mimeau²,

Neppel³

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

Abstract. Floods have strong impacts in the Mediterranean region and there is a questioning about a possible increase in their intensity due to climate change. In this study, a large database of 171 basins located in South France with daily discharge data with a median record length of 45 years is considered to analyze flood trends and their drivers. In addition to discharge data, outputs of precipitation, temperature, evapotranspiration from the SAFRAN reanalysis and soil moisture computed with the ISBA land surface model are also analyzed. The evolution of land cover in these basins is analyzed using the CORINE database. The trends in floods above the 95th and 99th percentiles are detected by the Mann-Kendall test and quantile regression techniques. The results show that despite the increase in extreme precipitation reported by previous studies, there is no general tendency towards more severe floods. Only for a few basins, the intensity of the most extreme floods is showing significant upward trends. On the contrary, most trends are towards fewer annual flood occurrences above both the 95th and 99th percentiles for the majority of basins. The decrease in soil moisture seems to be an important driver for these trends, since in most basins increased temperature and evapotranspiration associated with a precipitation decreases are leading to a reduction of soil moisture. These results implies that the observed increase in the vulnerability to these flood events in the last decades is mostly caused by human factors such as increased urbanization and population growth rather than climatic factors.

show abstract

Section: Discussionmentioning

confidence: 99%

Detection and attribution of flood trends in mediterranean bassins

Tramblay¹,

Mimeau²,

Neppel³

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Several methods can be used to assess the vulnerability of stakes. Saint- Martin et al (2016) used the AHP (analytic hierarchy process; Saaty, 1990) method to rank several stakes. Another possibility is to use a vulnerability tree based on expert judgement.…”

Section: 22mentioning

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 1 more Smart Citation

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

“…On the other hand, indirect information of 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), mud flows, erosion, landslides. Information about 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;15 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.…”

mentioning

confidence: 99%

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

DamaGIS: a multisource geodatabase for collection of flood-related damage data

Cited by 15 publications

References 33 publications

Detection and attribution of flood trends in mediterranean bassins

Detection and attribution of flood trends in mediterranean bassins

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

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