Rapid urbanization and human-induced changes to natural river systems and riverine ecosystems make cities more vulnerable to extreme flooding. Balancing development with urban river health and the safety of communities becomes a growing challenge with the expansion of urban areas.
This session explores advancements in flood forecasting for extreme events, focusing on real-time data assimilation, changes in riverine ecosystems, and predictive technologies. These tools are critical for predicting flood risks and improving city-wide preparedness. The emphasis will be on real-time flood alert technologies, sustainable urban solutions, including nature-based interventions like sustainable drainage systems and river restoration projects, which mitigate flood risks while preserving urban river health and contributing to long-term environmental sustainability. The session will also encompass a comprehensive understanding of real-time data acquisition methods, machine learning and deep learning-based predictive approaches, and IoT-based communication systems.
Additionally, emphasis will be placed on the significance of effective communication among city planners, governments, experts, and communities to ensure timely disaster preparedness and response. Effective and comprehensible communication during early warnings is crucial for safeguarding lives and livelihoods.
Through this session, participants will gain a deeper understanding of how to build flood-resilient cities, safeguard urban rivers, and ensure inclusive participation in flood management and urban development strategies.