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With extreme weather impacting critical energy and mining infrastructure at a more rapid rate and with greater damaging effects, understanding potential flood hazards is increasingly important. Heavy rainfalls and resulting flooding can lead to project delays, costly repairs, and extreme damage to infrastructure and facilities. While traditional engineering methods provide a foundational understanding of this risk, the results are not timely enough for effective decision support.

Using Â鶹´«Ã½¡¯s Flood Predictor, we¡¯ll demonstrate the power of machine learning tools and how they can deliver near real-time probabilistic and deterministic predictions for flooding. Providing data ahead of time allows for proactive actions to reduce the impact on a project site, and guides focus for building resiliency and hardening our energy and mining infrastructure, even when that infrastructure is in a remote or complex environment.

Watch now to learn

• How machine learning tools can deliver near real-time probabilistic and deterministic predictions for flooding.
• How we can address floodplain management problems at a fraction of the time of traditional engineering methods.
• How others are using Flood Predictor to understand and predict future climate events to mitigate impacts to existing infrastructure and make smarter decisions for future investments.