Implementation of a regionalized French flood quantiles database
[Departement_IRSTEA]Eaux [TR1_IRSTEA]ARCEAU [ADD1_IRSTEA]Hydrosystèmes et risques naturels International audience Hazards need to be characterised both in temporal and spatial dimensions. When dealing with floods, the availability of data is limited in both extents. On the one hand, the observation...
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ftunivaixmarseil:oai:HAL:hal-02607470v1 2023-07-30T04:04:28+02:00 Implementation of a regionalized French flood quantiles database Implémentation d'une base de données nationale de quantiles de crues sur la France Odry, J. Arnaud, P. Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER) Aix Marseille Université (AMU)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) Reykjavik, Iceland 2017-08-23 https://hal.inrae.fr/hal-02607470 en eng HAL CCSD hal-02607470 https://hal.inrae.fr/hal-02607470 IRSTEA: PUB00057592 8th Conference of the International Society for Integrated Disaster Risk Management https://hal.inrae.fr/hal-02607470 8th Conference of the International Society for Integrated Disaster Risk Management, Aug 2017, Reykjavik, Iceland. pp.12 UNGAUGED FLOOD SHYREG QUANTILES REGIONALISATION [SDE]Environmental Sciences info:eu-repo/semantics/conferenceObject Conference papers 2017 ftunivaixmarseil 2023-07-12T23:58:54Z [Departement_IRSTEA]Eaux [TR1_IRSTEA]ARCEAU [ADD1_IRSTEA]Hydrosystèmes et risques naturels International audience Hazards need to be characterised both in temporal and spatial dimensions. When dealing with floods, the availability of data is limited in both extents. On the one hand, the observation periods are generally too short to fully appreciate the shape of the frequency-intensity curve. This problem is exacerbated by the non-linearity of the rainfall-runoff relationship which makes difficult to extrapolate this curve towards rare events. On the other hand, the number of river monitoring stations is limited and most catchments are actually ungauged, especially among the smallest ones. In France, the SHYREG method has been developed to address those issues. It couples a fully regionalised stochastic rainfall generator, and a simple event-based conceptual rainfall-runoff model. The rainfall generator is able to simulate realistic long time-series of rainfall events at any point of the French territory thanks to an extensive characterisation of the rainfall behaviour. The hydrological model solely necessitates one parameter to be calibrated against at-site discharge data to transform rainfall events into flood events. The regionalisation of this unique parameter would allow making flood quantile estimation throughout France for diverse return periods and time-steps. The at-site version of SHYREG appears to be able to deal with the temporal limit of flood data by providing robust and reliable flood quantiles [Arnaud et al., 2015]. Here we present a fully regionalised version of SHYREG which aims to overcome the spatial limit of flow data. The regionalisation is performed by transferring the parameter calibrated in gauged site to ungauged site relying on both physical characteristics and locations of catchments. The evaluation of the performance in ungauged sites is realised through cross-validation procedure. The results suggest that SHYREG extreme flood quantiles are less sensible to regionalisation than ... Conference Object Iceland Aix-Marseille Université: HAL |
institution |
Open Polar |
collection |
Aix-Marseille Université: HAL |
op_collection_id |
ftunivaixmarseil |
language |
English |
topic |
UNGAUGED FLOOD SHYREG QUANTILES REGIONALISATION [SDE]Environmental Sciences |
spellingShingle |
UNGAUGED FLOOD SHYREG QUANTILES REGIONALISATION [SDE]Environmental Sciences Odry, J. Arnaud, P. Implementation of a regionalized French flood quantiles database |
topic_facet |
UNGAUGED FLOOD SHYREG QUANTILES REGIONALISATION [SDE]Environmental Sciences |
description |
[Departement_IRSTEA]Eaux [TR1_IRSTEA]ARCEAU [ADD1_IRSTEA]Hydrosystèmes et risques naturels International audience Hazards need to be characterised both in temporal and spatial dimensions. When dealing with floods, the availability of data is limited in both extents. On the one hand, the observation periods are generally too short to fully appreciate the shape of the frequency-intensity curve. This problem is exacerbated by the non-linearity of the rainfall-runoff relationship which makes difficult to extrapolate this curve towards rare events. On the other hand, the number of river monitoring stations is limited and most catchments are actually ungauged, especially among the smallest ones. In France, the SHYREG method has been developed to address those issues. It couples a fully regionalised stochastic rainfall generator, and a simple event-based conceptual rainfall-runoff model. The rainfall generator is able to simulate realistic long time-series of rainfall events at any point of the French territory thanks to an extensive characterisation of the rainfall behaviour. The hydrological model solely necessitates one parameter to be calibrated against at-site discharge data to transform rainfall events into flood events. The regionalisation of this unique parameter would allow making flood quantile estimation throughout France for diverse return periods and time-steps. The at-site version of SHYREG appears to be able to deal with the temporal limit of flood data by providing robust and reliable flood quantiles [Arnaud et al., 2015]. Here we present a fully regionalised version of SHYREG which aims to overcome the spatial limit of flow data. The regionalisation is performed by transferring the parameter calibrated in gauged site to ungauged site relying on both physical characteristics and locations of catchments. The evaluation of the performance in ungauged sites is realised through cross-validation procedure. The results suggest that SHYREG extreme flood quantiles are less sensible to regionalisation than ... |
author2 |
Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER) Aix Marseille Université (AMU)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) |
format |
Conference Object |
author |
Odry, J. Arnaud, P. |
author_facet |
Odry, J. Arnaud, P. |
author_sort |
Odry, J. |
title |
Implementation of a regionalized French flood quantiles database |
title_short |
Implementation of a regionalized French flood quantiles database |
title_full |
Implementation of a regionalized French flood quantiles database |
title_fullStr |
Implementation of a regionalized French flood quantiles database |
title_full_unstemmed |
Implementation of a regionalized French flood quantiles database |
title_sort |
implementation of a regionalized french flood quantiles database |
publisher |
HAL CCSD |
publishDate |
2017 |
url |
https://hal.inrae.fr/hal-02607470 |
op_coverage |
Reykjavik, Iceland |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
8th Conference of the International Society for Integrated Disaster Risk Management https://hal.inrae.fr/hal-02607470 8th Conference of the International Society for Integrated Disaster Risk Management, Aug 2017, Reykjavik, Iceland. pp.12 |
op_relation |
hal-02607470 https://hal.inrae.fr/hal-02607470 IRSTEA: PUB00057592 |
_version_ |
1772815942024167424 |