WaterPrism: A Reinforcement-Learning Framework for Real-Time Flood, Drought, Water-Quality, and Geopolitical Water Security Risk Management

This technical report presents WaterPrism, a multi-objective reinforcement learning framework for real-time hydrological risk management. Coupling 1D/2D hydrodynamic routing with automated compliance verification against the EU Water Framework Directive (Directive 2000/60/EC), WaterPrism manages multi-hazard thresholds across flooding, severe drought, and industrial pollutant transport with empirical validation across the River Cam catchment. Report identifier: WP-TR-2026-V1.0Official portal: https://sampoaios.com