Line-shaped rainbands (LRBs) have recently been identified as a significant factor in flood events in Japan. In our research, we analysed of LRBs in Japan using long-term radar rain gauge data. We aimed to elucidate the relationship between rainfall intensity, its geometrical form, duration, and cumulative quantity.

This study proposes a new method for predicting extreme events such as floods on the river Meuse. The current method was shown to be unreliable as it did not predict a recent flood. We developed a model that includes information from experts and combines this with measurements. We found that this approach gives more accurate predictions, particularly for extreme events. The research is important for predictions of extreme flood levels that are necessary for protecting communities against floods.

To enhance disaster resilience, we proposed a method to make potential future flood scenarios based on a climate projections. Focusing on the information necessary for decision-making, we also developed an exercise method using the scenarios. we conducted a simulation exercise with a municipality using this method. In this case, evacuation information for specific areas and times were issued and valuable insights were provided, thus preparedness for potential future flood disasters enhanced.