2004 UC Proceedings Abstract
 Modeling the Propagation of DEM Uncertainty in Flood Inundation Track: Water Resources Author(s): Musa Yilmaz, Nurunnisa Usul, Zuhal Akyurek All GIS datasets suffer from inherent error and it is now generally recognized that error problems is significant in GIS analysis. 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, a methodology named as uncertainty propagation modeling (UPM) is presented for evaluation of DEM uncertainty while investigating its propagation in flood inundation modeling. Hydraulic computations are performed by integrating ArcView and HEC-RAS and Monte Carlo Simulations method is utilized for uncertainty propagation modeling. In UPM, a set of random realizations of the DEM are first created. Flood inundation modeling is then performed over each DEM to obtain a range of flood inundation modeling outputs. Finally uncertainty propagation is based on the analysis of all model performances. Musa Yilmaz METU Water Resources Lab. ODTU K4 Su Kaynaklari Lab. Ankara 06531 TR Phone: +903122102485 Fax: +903122101002 E-mail: musa@metu.edu.tr Nurunnisa Usul Middle East Technical University Civil Engineering ODTU K4 Su Kaynaklari Lab. Ankara , Ankara 06531 TR Phone: +903122105448 Fax: +903122101002 E-mail: nurusul@metu.edu.tr Zuhal Akyurek Middle East Technical University Geodetics Geographical Information Technologies ODTU K4 Su Kaynaklari Lab. Ankara , Ankara 06531 TR Phone: +903122102481 E-mail: zakyurek@metu.edu.tr |
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