GFZ German research centre for geo sciences

3. Coupled 1D-2D hydrodynamic model (RIM1D-RIM2D)

Flood wave propagation in the river network, overtopping of dikes and floodplain inundation are simulated with a coupled 1D-2D model (RIM1D-RIM2D) (Farrag et al., 2022). The RIM1D river network model takes into account the routing in a divided river cross-section (bankfull and overbank part) between the dikes. In case of overtopping of the dikes or a elevated banks, the flow is estimated using the weir formula and the inundation is computed using a raster-based RIM2D model (Apel et al., 2022). RIM2D is parallelized on Graphical Processor Units (GPUs) which ensure fast simulations for large areas with high spatial resolution. For selected spatially limited areas, RIM2D can be driven directly with mHM (Apel et al., 2022, Najafi et al., 2024). In urban areas, sealing and capacity of the sewer network can also be taken into account (Apel et al., 2024). RIM2D is open source for the scientific use under the EUPL1.2 license. Access to the git repository can be granted upon request.

 

Publications:

Apel, H., Benisch, J., Helm, B., Vorogushyn, S., & Merz, B. (2024). Fast urban inundation simulation with RIM2D for flood risk assessment and forecasting. Frontiers in Water, 6, 1310182. doi.org/10.3389/FRWA.2024.1310182

Apel, H., Vorogushyn, S., & Merz, B. (2022). Brief communication: Impact forecasting could substantially improve the emergency management of deadly floods: case study July 2021 floods in Germany. Natural Hazards and Earth System Sciences, 22(9). doi.org/10.5194/nhess-22-3005-2022

Farrag, M., Brill, F., Dung, N. V., Sairam, N., Schröter, K., Kreibich, H., Merz, B., de Bruijn, K. M., & Vorogushyn, S. (2022). On the role of floodplain storage and hydrodynamic interactions in flood risk estimation. Hydrological Sciences Journal, 67(4). doi.org/10.1080/02626667.2022.2030058

Falter, D., Vorogushyn, S., Lhomme, J., Apel, H., Gouldby, B., & Merz, B. (2013). Hydraulic model evaluation for large-scale flood risk assessments. Hydrological Processes, 27(9). https://doi.org/10.1002/hyp.9553

Najafi, H., Kumar Shrestha, P., Rakovec, O., Apel, H., Vorogushyn, S., Kumar, R., Thober, S., Merz, B., & Samaniego, L. (2024). High-resolution impact-based early warning system for riverine flooding. Nature Communications, 15, 3726. doi.org/10.1038/s41467-024-48065-y

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