wntr

Evidence-aware Trust Engine for explainable monitored digital twins in urban water infrastructure using synthetic demo data, EPANET/WNTR hydraulic baselines, residual diagnostics, baseline ML, ST-GNN proof-of-concept and XAI decision support.

HydroSwarm turns sparse contamination evidence into physics-verified decisions by localizing likely sources, choosing the next sample, rejecting unsafe plans, and keeping humans in control.

Industrial AI platform for leakage-safe ML, PRV optimization, and water-network analysis using XGBoost, PSO, and WNTR/EPANET.

Multi-species reactive transport model of opportunistic pathogen (Legionella/Pseudomonas) growth, biofilm attachment, and chlorine inactivation in drinking water networks, with global sensitivity analysis identifying disinfection efficacy as the dominant control on pathogen persistence.

A toolkit for validating EPANET models