Australian Flood Analytics

Project Leaders: Dave Penton, Ashmita Sengupta, Fazlul Karim

Project Description:

Our project focuses on the development of a next-generation platform that enables rapid flood prediction and estimation of stream hydraulics. By leveraging cutting-edge machine learning and Artificial Intelligence (AI) technologies, we aim to deliver data-driven actionable information for emergency management, ecosystem research groups, and basin planners. Our platform utilises digital innovations to revolutionise the way flood-related data is processed and analysed, providing valuable insights for effective decision-making.

Project Goals:

Rapid Flood Prediction: Our primary goal is to develop an advanced system capable of predicting floods in real-time. By leveraging machine learning algorithms and incorporating diverse data sources, we aim to enhance the accuracy and timeliness of flood predictions, enabling proactive emergency management and response. Thereby, minimizing the impact of floods, enhancing community resilience, and ensuring a safer, more prepared society for years to come.

Stream Hydraulics Estimation: We strive to develop state-of-the-art techniques for estimating stream hydraulics, including critical attributes such as velocity. By providing accurate and reliable information on hydraulics within river systems through the integration of AI models and innovative data analytics approaches, we contribute to the understanding of ecosystem dynamics and support effective conservation strategies.

Promoting Informed Decision-Making and Long-Term Planning: By equipping emergency management agencies, ecosystem research groups, and basin planners with long-term insights, we enable informed choices for effective flood mitigation strategies, proactive ecosystem conservation initiatives, and sustainable water resource management. Our focus extends beyond immediate needs, fostering a forward-thinking approach that ensures resilience, adaptability, and long-term sustainability within the flood-prone areas of concern.

Project Outputs:

1. Proven Algorithms and Enhanced Understanding: Our project will develop and refine cutting-edge algorithms for flood prediction and stream hydraulics estimation. Through research and analysis, we aim to deepen the understanding of stream hydraulics and their impact on flood dynamics, contributing to the scientific knowledge base. These proven algorithms will serve as valuable tools for decision-makers in emergency management, ecosystem research, and basin planning.
2. Actionable Recommendations and Collaboration: Based on the findings and analyses derived from our proven algorithms, we will generate actionable recommendations tailored to specific needs. These recommendations will provide practical guidance on flood response strategies, habitat restoration efforts, and sustainable water management practices. We are committed to fostering collaboration within the field through publications, conferences, and workshops, facilitating the adoption and utilisation of our research findings by the scientific community, policymakers, and practitioners.
3. Roadmap for Future Development: Our project outputs will include a roadmap for the future development of a next-generation flood prediction and stream hydraulics estimation system. This roadmap will outline the necessary steps, technologies, and resources required to bring the envisioned advanced system to fruition. It will provide a strategic guide for future endeavours in this domain, ensuring continued progress and innovation in flood prediction and stream hydraulics estimation.

Learn more:

If you are interested in learning more about our next-generation flood prediction and stream hydraulics estimation platform or wish to explore collaboration opportunities, please contact Dave Penton https://people.csiro.au/P/D/Dave-Penton. Together, we can revolutionise flood management, enhance decision-making capabilities, and contribute to sustainable water resource management.