Simulation and vulnerability assessment of water distribution networks under deliberate contamination attacks

This work proposes a modeling framework to quantify the effects of deliberate organic contamination events on water distribution systems. A bacterial regrowth model and first parallel chlorine decay were combined describe biochemical species kinetics during contaminant injection consisting (TOC) loads. Several attacks modeled using EPANET-MSX. The impact each attack was quantified vulnerability indexes measuring number consumers affected other metrics. These then used depict network’s response potential threat identify most critical areas network. sensitivity analysis also performed determine three dynamic network variables (mass injection, duration, carbon concertation in water). An increase populations observed spread network, which turn signals additional health risk consumers.