Global climate change has also increased the risk of flooding in Germany. In particular, short and intense rainfall, so-called heavy rainfall events, are increasing in frequency and extent in small-scale regions. The consequences are flash floods with a potentially high level of damage. This can be countered by using accurate and up-to-date geodata to assess potential risks in the best possible way, both in the long and short term. The Federal Agency for Cartography and Geodesy (BKG) has produced information maps on heavy rain hazards for Germany in close cooperation with the relevant federal and state authorities. The maps were calculated on the basis of long-term observations of precipitation, terrain data and a hydrodynamic model for two static precipitation scenarios. In the next step, short-term forecasts for regional results are to be calculated dynamically in cooperation with the German Weather Service (DWD). For this purpose, the BKG is using its Digital Twin Germany, which is currently under construction. Translated with DeepL.com (free version)

Flood events are increasing in both frequency and intensity, posing growing challenges for cities and catchment authorities. As traditional protection measures reach their limits, innovative and intelligent approaches are essential for early risk detection and effective management. This presentation explores the strategic use of digital twins and real-time decision support systems in flood governance. These technologies enable more precise risk analysis and informed, forward-looking decision-making that aligns with political goals and regulatory requirements. Discover how data-driven technologies can enhance the resilience of your region—and how you, as a decision-maker, can actively shape the transformation of flood protection.

Digital strategies for dealing with extreme events in the water cycle Major incidents pose a significant challenge to society and infrastructure. The basis of all considerations is a comprehensive understanding of the causes and the type, extent and frequency of the events. Earthquakes, tsunamis or volcanic eruptions are hardly influenced by humans or the climate, and historical data provides a stable basis for future risk assessment. However, the situation in the event of floods is changing dramatically and a look into the past is no longer sufficient to simulate future events. Adapted climate models and digital twins allow a comprehensive analysis of the consequences of predicted floods, as well as the assessment of the effectiveness of potential concepts. Central approaches are the avoidance of high-risk areas, measures to regulate water levels and the upgrading of infrastructure to be more resilient to flooding. Adaptation strategies are shown using current examples. Floods and damage caused by floods will increase, complete avoidance is not possible and will be replaced by the concept of damage reduction and damage management.