HR: 18:05h
AN: H54B-07    [Abstracts]
TI: Evaluation of Digital Elevation Model Uncertainty in Flood Inundation Modeling
AU: * Yilmaz, M
EM: musa@metu.edu.tr
AF: Research Assistant, Middle East Technical University, Dept. of Civil Engineering, Ankara, 06531, Turkey
AB: Flood is one of the most life threatening natural hazard on the earth, therefore it is very important to estimate flood magnitudes and to map areas under inundation. Flood inundation modeling is the final stage of a flood study in which inundation area for a certain flood magnitude is determined. In the last decade integration of Geographic Information Systems (GIS) with flood studies increased the efficiency and visualization of basin and river modeling. Since all GIS datasets suffer from error, when they are used as input to a GIS operation, then the errors in the input propagate to the output of the operation. In GIS integrated flood inundation modeling, where topographic conditions of the river network are obtained from a Digital Elevation Model (DEM), error inherent in the DEM will propagate through the analysis till its outputs. In this study propagation of DEM uncertainty in flood inundation modeling is investigated. Monte Carlo Simulations method is utilized for uncertainty propagation modeling, and flood inundation modeling is performed by integrating HEC-RAS and ArcView softwares. The methodology is applied to a small area selected within Ulus Basin which is located in the West Black Sea region of Turkey. At the end of the study, results of uncertainty propagation modeling are compared with the results of GIS integrated flood inundation modeling of the same study site.
DE: 1819 Geographic Information Systems (GIS)
DE: 1821 Floods
DE: 1873 Uncertainty assessment (3275)
SC: Hydrology [H]
MN: 2007 Joint Assembly