The combined effects of climate change, ageing and expanding infrastructure, and historical human alterations are having an increasingly significant impact on rivers, estuaries and coastal systems. The interaction between water flows, sediment dynamics and hydraulic infrastructure can generate significant hazards, including scouring, erosion, channel instability, sedimentation and structural vulnerability. These hazards can severely impact the performance, safety and sustainability of infrastructure.
Although advances in monitoring, modelling and remote sensing have improved our understanding of flow-sediment-structure interactions, translating this knowledge into risk-informed decision-making remains a significant challenge. The increasing frequency of extreme events, changing hydrological regimes, rising sea levels and evolving sediment dynamics require new approaches that integrate process understanding with infrastructure resilience, vulnerability assessment, asset management and climate adaptation.
This session aims to bring together researchers and practitioners from the fields of geomorphology, hydraulics, engineering, climate adaptation and infrastructure management. Contributions addressing field observations, laboratory experiments, numerical modelling, monitoring technologies, digital twins, nature-based solutions and AI-supported approaches are particularly encouraged.
The focus will be on interdisciplinary approaches that connect hydraulic and sediment-induced forcing with hazard assessment, resilience planning and long-term infrastructure management, in order to support more robust and adaptive decision-making in changing environmental conditions.

Topics include, but are not limited to:
• Flow and sediment-induced hazards affecting infrastructure
• Flow-structure-sediment interactions
• Scour, erosion and sedimentation processes
• Risk, vulnerability and resilience assessment
• Asset management and decision-support tools
• Climate adaptation of hydraulic infrastructure
• Nature-based and hybrid engineering solutions
• Remote sensing, AI and digital twins for monitoring and prediction
• Early warning systems and real-time monitoring
• Lessons learned from riverine, estuarine and coastal case studies