We are pleased to invite abstract submissions to our session at the
AGU Annual Meeting 2026, taking place
7–11 December 2026 in San Francisco, CA:
NH021: Dam Safety Under Changing Climate: Monitoring, Risk Assessment, and Failure Prediction Using Data-Driven Approaches
Section: Natural Hazards | Cross-listed with Hydrology (H) and Seismology (S)
Session Description:
Aging dam infrastructure, increasing extreme weather events, and growing water demands are intensifying risks associated with dam safety worldwide. Recent dam failures and near-failure events highlight the urgent need for improved monitoring, early warning systems, and predictive modeling frameworks. This session brings together interdisciplinary research on dam safety, focusing on advances in monitoring technologies (e.g., remote sensing, IoT, and geophysical methods), data-driven modeling approaches (machine learning, hybrid models), and risk assessment frameworks under climate variability and extremes.
We particularly welcome contributions addressing:
- Failure mechanisms and structural health monitoring
- Flood-induced risks, sedimentation impacts, and reservoir management strategies
- Integration of satellite observations, hydrological modeling, and real-time data assimilation
- Early warning frameworks and risk assessment under future climate scenarios
The session seeks to bridge gaps between engineering, hydrology, geosciences, and policy to develop resilient dam management strategies.
Key Details:
Please feel free to forward this invitation to colleagues and students whose research aligns with the session scope. We look forward to receiving your contributions and to an engaging session in San Francisco!
Best regards,
Vishal Thakur, Czech University of Life Sciences (Czech Republic)
C Lallawmawma, Indian Institute of Technology Roorkee (India)
Yaggesh Sharma, Kyung Hee University (South Korea)
Mathilde Sørensen, University of Bergen (Norway)