Akademik Veri Yönetim Sistemi
PHYSICAL GEOGRAPHY, cilt.46, sa.3, ss.175-195, 2025 (SCI-Expanded)
This study evaluates the flood extent, depth, velocity, and flood hazard analyses across 100, 500, and 1000 return periods using 0.1 m, 0.5 m, and 1 m DEM data derived from Unmanned Aerial Vehicles (UAV). The Ulus settlement (T & uuml;rkiye) was selected as the case study area. The primary input data include DEMs produced from the DJI Mavic 2 Pro drone and flood flows derived from the SWAT rainfall-runoff model for the Ulus River and its tributaries. Flood hazard analyses were conducted using the 2D LISFLOOD-FP hydrodynamic model using a constant Manning n value (n = 0.035) to evaluate spatial resolution variability. The findings indicate that as the resolution improves from 1 m to 0.1 m, the model runtime increases significantly (711 times on average), as do average calculation errors. Meanwhile, the spatial distribution of flood extent and hazard classes for people decreases by approximately 0.7% to 9%. However, the differences between resolutions from 0.1 m to 1 m in terms of depth, velocity, and inundation extent are not substantial. Therefore, using a 0.1 m UAV DEM resolution is not cost-effective, especially for large areas, due to the increased model instability caused by surface roughness and the longer processing time required.