Uncertainty related to high resolution topographic data use for flood event modeling over urban areas: toward a sensitivity analysis approach
2D Free-surface hydraulic modeling tools are commonly used to assess flood hazard for production of maximal water depth (hmax) maps, as support for flood risk assessment. High Resolution (HR) topographic data are big data getting commonly available and used by hydraulic...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2015-01-01
|
| Series: | ESAIM: Proceedings and Surveys |
| Online Access: | http://dx.doi.org/10.1051/proc/201448018 |
| _version_ | 1797968500974682112 |
|---|---|
| author | Abily Morgan Delestre Olivier Amossé Laura Bertrand Nathalie Richet Yann Duluc Claire-Marie Gourbesville Philippe Navaro Pierre |
| author_facet | Abily Morgan Delestre Olivier Amossé Laura Bertrand Nathalie Richet Yann Duluc Claire-Marie Gourbesville Philippe Navaro Pierre |
| author_sort | Abily Morgan |
| collection | DOAJ |
| description | 2D Free-surface hydraulic modeling tools are commonly used to assess flood hazard for
production of maximal water depth (hmax) maps, as support
for flood risk assessment. High Resolution (HR) topographic data are big data getting
commonly available and used by hydraulic modeling community. Topographical information and
its strategy of inclusion in models, are inputs of great importance for overland flow
hmax calculation. To
strengthen the assessment of confidence level in these deterministic hydraulic models
outputs, uncertainty analysis (UA) and global sensitivity analysis (SA) can provide useful
information that is required by practitioners and decision makers. UA and SA approaches
allow to identify effective strategies to reduce the uncertainty of a model output. In
this paper, developed approach consists in parameterizing three factors which introduce
uncertainty related to HR topographic data use with hydraulic models: 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 of a regular mesh) (var. R). Parameter var.
E follows a
probability density function whereas parameter var. S and var. R are discrete operator
choices. The coupling of an environment for parametric computation (Prométhée) and a code
relying on 2D shallow water equation (FullSWOF2D), Promethée-FullSWOF2D (P-FS) tool has
been set up. P-FS tool allows launching directly numerous set of computation using
R software.
1200 simulations of a river flood event scenario were performed on the regular
computational mesh, spatially discretizing a 17.5 km2 urban area (Nice, France). The
aim is to produce UA over points of interests and SA through Sobol index maps
production. |
| first_indexed | 2024-04-11T02:47:52Z |
| format | Article |
| id | doaj.art-a6179324a06845efb5cb97bfa7f542be |
| institution | Directory Open Access Journal |
| issn | 2267-3059 |
| language | English |
| last_indexed | 2024-04-11T02:47:52Z |
| publishDate | 2015-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ESAIM: Proceedings and Surveys |
| spelling | doaj.art-a6179324a06845efb5cb97bfa7f542be2023-01-02T17:38:07ZengEDP SciencesESAIM: Proceedings and Surveys2267-30592015-01-014838539910.1051/proc/201448018proc144818Uncertainty related to high resolution topographic data use for flood event modeling over urban areas: toward a sensitivity analysis approachAbily Morgan0Delestre Olivier1Amossé Laura2Bertrand Nathalie3Richet Yann4Duluc Claire-Marie5Gourbesville Philippe6Navaro Pierre7Institut de Radioprotection et de Sûreté Nucléaire & Lab. I-CiTy URE 005, EPU Nice Sophia, University of NiceLab. J.A. Dieudonné UMR 7351 CNRS & EPU Nice Sophia, University of NiceEPU Nice Sophia, University of NiceInstitut de Radioprotection et de Sûreté NucléaireInstitut de Radioprotection et de Sûreté NucléaireInstitut de Radioprotection et de Sûreté NucléaireLab. I-CiTy URE 005, EPU Nice Sophia, University of NiceIRMA, UMR 7501 CNRS, Unistra2D Free-surface hydraulic modeling tools are commonly used to assess flood hazard for production of maximal water depth (hmax) maps, as support for flood risk assessment. High Resolution (HR) topographic data are big data getting commonly available and used by hydraulic modeling community. Topographical information and its strategy of inclusion in models, are inputs of great importance for overland flow hmax calculation. To strengthen the assessment of confidence level in these deterministic hydraulic models outputs, uncertainty analysis (UA) and global sensitivity analysis (SA) can provide useful information that is required by practitioners and decision makers. UA and SA approaches allow to identify effective strategies to reduce the uncertainty of a model output. In this paper, developed approach consists in parameterizing three factors which introduce uncertainty related to HR topographic data use with hydraulic models: 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 of a regular mesh) (var. R). Parameter var. E follows a probability density function whereas parameter var. S and var. R are discrete operator choices. The coupling of an environment for parametric computation (Prométhée) and a code relying on 2D shallow water equation (FullSWOF2D), Promethée-FullSWOF2D (P-FS) tool has been set up. P-FS tool allows launching directly numerous set of computation using R software. 1200 simulations of a river flood event scenario were performed on the regular computational mesh, spatially discretizing a 17.5 km2 urban area (Nice, France). The aim is to produce UA over points of interests and SA through Sobol index maps production.http://dx.doi.org/10.1051/proc/201448018 |
| spellingShingle | Abily Morgan Delestre Olivier Amossé Laura Bertrand Nathalie Richet Yann Duluc Claire-Marie Gourbesville Philippe Navaro Pierre Uncertainty related to high resolution topographic data use for flood event modeling over urban areas: toward a sensitivity analysis approach ESAIM: Proceedings and Surveys |
| title | Uncertainty related to high resolution topographic data use for
flood event modeling over urban areas: toward a sensitivity analysis approach |
| title_full | Uncertainty related to high resolution topographic data use for
flood event modeling over urban areas: toward a sensitivity analysis approach |
| title_fullStr | Uncertainty related to high resolution topographic data use for
flood event modeling over urban areas: toward a sensitivity analysis approach |
| title_full_unstemmed | Uncertainty related to high resolution topographic data use for
flood event modeling over urban areas: toward a sensitivity analysis approach |
| title_short | Uncertainty related to high resolution topographic data use for
flood event modeling over urban areas: toward a sensitivity analysis approach |
| title_sort | uncertainty related to high resolution topographic data use for flood event modeling over urban areas toward a sensitivity analysis approach |
| url | http://dx.doi.org/10.1051/proc/201448018 |
| work_keys_str_mv | AT abilymorgan uncertaintyrelatedtohighresolutiontopographicdatauseforfloodeventmodelingoverurbanareastowardasensitivityanalysisapproach AT delestreolivier uncertaintyrelatedtohighresolutiontopographicdatauseforfloodeventmodelingoverurbanareastowardasensitivityanalysisapproach AT amosselaura uncertaintyrelatedtohighresolutiontopographicdatauseforfloodeventmodelingoverurbanareastowardasensitivityanalysisapproach AT bertrandnathalie uncertaintyrelatedtohighresolutiontopographicdatauseforfloodeventmodelingoverurbanareastowardasensitivityanalysisapproach AT richetyann uncertaintyrelatedtohighresolutiontopographicdatauseforfloodeventmodelingoverurbanareastowardasensitivityanalysisapproach AT dulucclairemarie uncertaintyrelatedtohighresolutiontopographicdatauseforfloodeventmodelingoverurbanareastowardasensitivityanalysisapproach AT gourbesvillephilippe uncertaintyrelatedtohighresolutiontopographicdatauseforfloodeventmodelingoverurbanareastowardasensitivityanalysisapproach AT navaropierre uncertaintyrelatedtohighresolutiontopographicdatauseforfloodeventmodelingoverurbanareastowardasensitivityanalysisapproach |