Projektpartner
Hydrologische und meteorologische Beratung und Dienstleistung
PERFACCT
Performance Acceleration Technologies
Softwareentwicklung & Anwendungsoptimierung
Partnerprojekte
- HI-CAM: Die Helmholtz Klimainitiative (HI-CAM) leistet mit 13 Forschungsprojekten in zwei Schwerpunkten (Mitigation und Adaptation) Beiträge zur Emissions-Vermeidung und zu den den gesellschaftlichen Anpassungsmöglichkeiten an den menschengemachten Klima-Wandel.
- Directed: Das Projekt hat das Ziel, die Anfälligkeit gegenüber Extremwetterereignissen zu verringern und die Resilienz gegenüber solchen Katastrophen zu fördern, indem die Interoperabilität von Daten, Modellen, Kommunikation und Verwaltung verbessert wird.
- KAHR: Das Hochwasser im Juli 2021 in Nordrhein-Westfalen und in Rheinland-Pfalz mit mehr als 180 Todesfällen und ökonomischen Schäden von über 30 Mrd. Euro zählt zu den schadensträchtigsten Katastrophen in Deutschland seit 1945. Ziel des BMBF-Verbundprojekts KAHR ist es, den Wiederaufbau wissenschaftlich zu begleiten und somit die betroffenen Regionen resilienter zu gestalten.
Publikationen zu RIM2D
High-resolution impact-based early warning system for riverine flooding
Najafi, H., Shrestha, P.K., Rakovec, O., Apel, H., Vorogushyn, S., Kumar, R., Thober, S., Merz, B., Samaniego, L.: High-resolution impact-based early warning system for riverine flooding. Nat Commun 15, 3726 (2024). https://doi.org/10.1038/s41467-024-48065-y
Fast urban inundation simulation with RIM2D for flood risk assessment and forecasting
Apel, H., Benisch, J., Helm, B., Vorogushyn, S., and Merz, B. (2024). Fast urban inundation simulation with RIM2D for flood risk assessment and forecasting. Frontiers in Water 6. https://doi.org/10.3389/frwa.2024.1310182
Impact forecasting could substantially improve the emergency management of deadly floods in Germany
Apel, H., Vorogushyn, S., and Merz, B.: Brief communication: Impact forecasting could substantially improve the emergency management of deadly floods: case study July 2021 floods in Germany, Nat. Hazards Earth Syst. Sci., 22, 3005–3014. https://doi.org/10.5194/nhess-22-3005-2022 , 2022.
Are 2D shallow-water solvers fast enough for early flood warning?
Khosh Bin Ghomash, S., Apel, H., and Caviedes-Voullième, D. (2024). Are 2D shallow-water solvers fast enough for early flood warning? A comparative assessment on the 2021 Ahr valley flood event. Nat. Hazards Earth Syst. Sci. 24(8), 2857-2874. https://doi.org/10.5194/nhess-24-2857-2024.
Rapid high-resolution flood impact-based early warning is possible with RIM2D: a showcase for the 2023 pluvial flood in Braunschweig
Khosh Bin Ghomash, S., Apel, H., Schröter, K., and Steinhausen, M. (2024). Brief Communication: Rapid high-resolution flood impact-based early warning is possible with RIM2D: a showcase for the 2023 pluvial flood in Braunschweig. Nat. Hazards Earth Syst. Sci. Discuss. 2024, 1-20. https://doi.org/10.5194/nhess-2024-139
Monte-Carlo based sensitivity analysis of the RIM2D hydrodynamic model for the 2021 flood event in Western Germany
Khosh Bin Ghomash, S., Yeste, P., Apel, H., and Nguyen, V.D. (2024). Monte-Carlo based sensitivity analysis of the RIM2D hydrodynamic model for the 2021 flood event in Western Germany. Nat. Hazards Earth Syst. Sci. Discuss. 2024, 1-25. https://doi.org/10.5194/nhess-2024-77
It could have been much worse: spatial counterfactuals of the July 2021 flood in the Ahr valley, Germany
Vorogushyn, S., Han, L., Apel, H., Nguyen, V.D., Guse, B., Guan, X., et al. (2024). It could have been much worse: spatial counterfactuals of the July 2021 flood in the Ahr valley, Germany. Nat. Hazards Earth Syst. Sci. Discuss. 2024, 1-39. https://doi.org/10.5194/nhess-2024-97.
Combined fluvial and pluvial urban flood hazard analysis: concept development and application to Can Tho city, Mekong Delta, Vietnam
Apel, H., Martínez Trepat, O., Hung, N. N., Chinh, D. T., Merz, B., and Dung, N. V.: Combined fluvial and pluvial urban flood hazard analysis: concept development and application to Can Tho city, Mekong Delta, Vietnam, Nat. Hazards Earth Syst. Sci., 16, 941–961. https://doi.org/10.5194/nhess-16-941-2016