Predictive Model for Flood Risk Management
Abstract
This project will develop and evaluate a predictive flood monitoring system for Above Ground Installations (AGIs) and pipeline assets using real-time sensor data and 48-hour surface water forecasting. The system will be deployed at four locations identified through a nationwide flood risk survey. The trial will assess the system’s accuracy, responsiveness, and operational value across diverse environments. The project supports climate adaptation, regulatory compliance, and asset resilience by enabling early warning and proactive intervention. It aligns with RIIO-2 NIA objectives by reducing flood-related disruption, enhancing safety, and informing future investment decisions. The project will conclude with a technical report and recommendations for wider rollout under RIIO-3.
