Flood damage maps: ranking sources of uncertainty with variance-based sensitivity analysis

Saint Geours, N. ; Grelot, F. ; Bailly, J.S. ; Lavergne, C.

Type de document
Communication scientifique sans actes
Langue
Anglais
Affiliation de l'auteur
AGROPARISTECH UMR TETIS MONTPELLIER FRA ; IRSTEA MONTPELLIER UR IRMO UMR G-EAU FRA ; AGROPARISTECH UMR TETIS MONTPELLIER FRA ; UNIVERSITE MONTPELLIER III LIRMM FRA
Année
2012
Résumé / Abstract
In order to increase the reliability of flood damage assessment, we need to question the uncertainty associated with the whole flood risk modeling chain. Using a case study on the basin of the Orb River, France, we demonstrate how variance-based sensitivity analysis can be used to quantify uncertainty in flood damage maps at different spatial scales and to identify the sources of uncertainty which should be reduced first.
Congrès
EGU General Assembly, 19/04/2012 - 24/04/2012, Vienna, AUT
Document d'origine
Geophysical Research Abstracts, vol14
Editeur
Copernicus publications

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