Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Global Sensitivity Analysis with 2D Hydraulic Codes: Application on
  Uncertainties Related to High-Resolution Topographic Data   Technologies such as aerial photogrammetry allow production of 3D topographic
data including complex environments such as urban areas. Therefore, it is
possible to create High Resolution (HR) Digital Elevation Models (DEM)
incorporating thin above ground elements influencing overland flow paths. Even
though this category of big data has a high level of accuracy, there are still
errors in measurements and hypothesis under DEM elaboration. Moreover,
operators look for optimizing spatial discretization resolution in order to
improve flood models computation time. Errors in measurement, errors in DEM
generation, and operator choices for inclusion of this data within 2D hydraulic
model, might influence results of flood models simulations. These errors and
hypothesis may influence significantly flood modelling results variability. The
purpose of this study is to investigate uncertainties related to (i) the own
error of high resolution topographic data, and (ii) the modeller choices when
including topographic data in hydraulic codes. The aim is to perform a Global
Sensitivity Analysis (GSA) which goes through a Monte-Carlo uncertainty
propagation, to quantify impact of uncertainties, followed by a Sobol' indices
computation, to rank influence of identified parameters on result variability.
A process using a coupling of an environment for parametric computation
(Prom{\'e}th{\'e}e) and a code relying on 2D shallow water equations (FullSWOF
2D) has been developed (P-FS tool). The study has been performed over the lower
part of the Var river valley using the estimated hydrograph of 1994 flood
event. HR topographic data has been made available for the study area, which is
17.5 km 2 , by Nice municipality. Three uncertain parameters were studied: the
measurement error (var. E), the level of details of above-ground element
representation in DEM (buildings, sidewalks, etc.) (var. S), and the spatial
discretization resolution (grid cell size for regular mesh) (var. R). Parameter
var. E follows a probability density function, whereas parameters var. S and
var. R. are discrete operator choices. Combining these parameters, a database
of 2, 000 simulations has been produced using P-FS tool implemented on a high
performance computing structure. In our study case, the output of interest is
the maximal

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The categories of this paper are: astro-ph
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The categories of this paper are: econ
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The categories of this paper are: cmp-lg
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The categories of this paper are: eess
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The categories of this paper are: math
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The categories of this paper are: plasm-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: hep-ex
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The categories of this paper are: patt-sol
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The categories of this paper are: comp-gas
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-th
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The categories of this paper are: physics
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The categories of this paper are: solv-int
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The categories of this paper are: dg-ga
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The categories of this paper are: chao-dyn