Canary; Harnessing FME for Real-Time Natural Hazard Management

New Zealand’s unique geology and geography expose its infrastructure to natural hazards like landslides, rockfall, flooding, and earthquakes. Climate change is exacerbating these risks, leading to more frequent and severe weather events. Asset owners face financial pressures to manage infrastructure, ensure safety, and maintain operability, especially during emergencies. While critical risks often receive mitigation investments, the residual risks which are left behind require cost-effective management strategies. One proactive approach is using Trigger Action Response Plans (TARPs) to manage network operability based on weather forecasts and real-time data from remote sensors. With advancements in technology and data accessibility, FME automates the TARP process and provide real-time decision support to asset owners, network managers, and emergency responders. Canary is an early alert platform that leverages FME for automated data transformation. Canary translates data into actionable information, streamlining TARP deployment and operation. Developed in Form and deployed in Flow, FME uses forecast data and real-time sensor inputs to automate alerts when predefined thresholds, set by subject matter experts, are met. This information is curated in online geospatial tools and communicated via email alerts, enabling informed decision-making to reduce the risk to life, ensure route availability and maintain business continuity.