Dataset for Flood Hazard Mapping using Hydraulic Simulations of the Wupper Catchment, NRW, Germany

Dataset for Flood Hazard Mapping using Hydraulic Simulations of the Wupper Catchment, NRW, Germany 1. Dataset Description The dataset used in this study consists of geospatial raster files in GeoTIFF (.TIF) format intended for training and evaluating a deep learning surrogate model for flood risk mapping. It includes digital elevation models (DEMs) and the corresponding results of hydraulic simulations, which represent the maximum flood depth under various flow scenarios. 2. File Structure The hydraulic simulations were performed for three location in the Wupper catchment, namely, Beyenburg (bey), Kluserbruecke (klu), and Kohlfurth (kol). Each hydraulic simulation is contained in the depth files, which were simulated using a constant discharge. The dataset is a collection of files, which are labeled as follows: For hydraulic simulations, the file has the following structure: {LOCATION}_{Discharge}_depth. For instances, the file "bey_Q5_depth.TIF" has the location bey (Beyenburg), and corresponds to a constant discharge of 5 m3/s (Q5 ). For digital elevation models, the file has the structure {LOCATION}_dem. For instances, the file "bey_dem.TIF" containst the digital elevation model of the location bey (Beyenburg). 3. Data Components 3.1 Digital Elevation Model (DEM) Each location folder contains a DEM raster file (GeoTIFF) with a resolution of 1 m x 1 m, values in m NHN, and using the coordinate reference system EPSG:25832. 3.2 Hydraulic Simulations (Depth Maps) Each location folder contains a subfolder depth that contains multiple hydraulic simulations for different discharge scenarios. Each hydraulic simulation is a raster file (GeoTIFF) with a resolution of 1 m x 1 m, maximum flood depth per grid cell (m), and using the coordinate reference system EPSG:25832. For example the file Q5_exported.TIF corresponds to the hydraulic simulation using a constant discharge of 5 m3/s. 4. Source This dataset is based on hydraulic simulations from the Wupperverband (https://www.wupperverband.de/startseite) and data from district government of Köln (Digitales Geländemodell | Bezirksregierung Köln).