Paper Info
Title
Spatial Global Sensitivity Analysis of High Resolution classified topographic data use in 2D urban flood modelling
Abstract
This paper presents a spatial Global Sensitivity Analysis (GSA) approach in a 2D shallow water equations based High Resolution (HR) flood model. The aim of a spatial GSA is to produce sensitivity maps which are based on Sobol index estimations. Such an approach allows to rank the effects of uncertain HR topographic data input parameters on flood model output. The influence of the three following parameters has been studied: the measurement error, the level of details of above-ground elements representation and the spatial discretization resolution. To introduce uncertainty, a Probability Density Function and discrete spatial approach have been applied to generate 2,000 DEMs. Based on a 2D urban flood river event modelling, the produced sensitivity maps highlight the major influence of modeller choices compared to HR measurement errors when HR topographic data are used. The spatial variability of the ranking is enhnaced.
Year
DOI
Venue
2016
10.1016/j.envsoft.2015.12.002
Environmental Modelling & Software
Keywords
Field
DocType
Urban flood,Uncertainties,Shallow water equations,FullSWOF_2D,Sensitivity maps,Photogrammetry,Classified topographic data
Data mining,Photogrammetry,Ranking,Topographic map,Hydrology,Computer science,Spatial variability,Probability density function,Observational error,Sobol sequence,Flood myth
Journal
Volume
Issue
ISSN
77
C
1364-8152
Citations 
PageRank 
References 
6
0.58
16
Authors
5
Name
Order
Citations
PageRank
Morgan Abily160.58
Nathalie Bertrand260.58
Olivier Delestre3295.76
Philippe Gourbesville462.27
Claire-Marie Duluc560.92