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Uncertainty assessment of flood inundation modeling with a 1D/2D random field
- Publication Year :
- 2017
-
Abstract
- An uncertainty assessment framework based on Karhunen–Loevè expansion (KLE) and probabilistic collocation method (PCM) was introduced to deal with flood inundation modelling under uncertainty. The Manning's roughness for channel and floodplain were treated as 1D and 2D, respectively, and decomposed by KLE. The maximum flow depths were decomposed by the 2nd-order PCM. Through a flood modelling case with steady inflow hydrographs based on five designed testing scenarios, the applicability of KLE-PCM was demonstrated. The study results showed that the Manning's roughness assumed as a 1D/2D random field could efficiently alleviate the burden of random dimensionality within the analysis framework, and the introduced method could significantly reduce repetitive runs of the physical model as required in the traditional Monte Carlo simulation (MCS). The study sheds some light on reducing the computational burden associated with flood modelling under uncertainty which is useful for the related damage quantification and risk management.
- Subjects :
- Flood Inundation Modelling
Atmospheric Science
geography
Mathematical optimization
Random field
geography.geographical_feature_category
Flood myth
Floodplain
0208 environmental biotechnology
Monte Carlo method
Hydrograph
02 engineering and technology
Inflow
Geotechnical Engineering and Engineering Geology
020801 environmental engineering
Environmental engineering [Engineering]
Environmental science
Simulation
Civil and Structural Engineering
Water Science and Technology
Curse of dimensionality
Communication channel
KLE
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....554908386021969ccfa290a910cd5e60