To support decision-makers in flood disaster management, a real-time flood monitoring system was established in the Niger and Volta basins under the Water disaster platform to enhance climate resilience in Africa (WADiRE-Africa). The system utilized real-time satellite rainfall data to bridge the gap between data scarcity and inaccessibility and a hydrological model to simulate the inundation extents at basin and hotspot scales. Presently, the prototype system is under testing in both basins.

Early flash floods result from the abundant precipitation frequently lead to significant losses of agriculture in the north-eastern region of Bangladesh. Allocating necessary storage to provide spaces for excess water can save the crop. This study calculates the necessary storage with a new method: Flood duration curve (FDC); estimates water storage capacity by using satellite-based citizen science haor volume estimation technique and finally, investigates an alternate solution of the problem.

The study provides valuable insights into the use of cutting-edge technologies for real-time extreme flow modelling and disaster risk reduction strategies in data-scarce regions. The methodology presented here improved forecasting lead time and accuracy of real-time satellite precipitations. This highlights the practical implications of public domain datasets and models for informed decision-making. The study can complement informed decision-making for flood preparedness in transboundary basins.

The study evaluated how well a GCM can reproduce the past weather patterns linked to the heavy rainfall events in Davao river basin by using raingauge and ERA5 data as reference. Our findings show that MRI-AGCM 3.2S reproduced similar weather patterns in JJA and DJF seasons as compared to ERA5 but due to small differences in configuration lead to biases in the local rainfall. This method can be also applied to other river basins and for evaluating how the future local rainfall will change.

This study developed the “Virtual Flood Experiment System (VFES)” using virtual reality (VR) .We evaluated the realness of a virtual flood reconstructed by VFES and conducted evacuation behaviour experiments using VFES. The results confirmed that VFES can reconstruct high-quality flood conditions quantitatively record the difference in evacuation behaviour, indicating its high potential as an effective risk commutation tool.