Complex Networks Theory for Evaluating Scaling Laws and WDS Vulnerability for Potential Contamination Events

摘要: In the last few years, water utilities have recognized importance of evaluating safety distribution networks from potential risks contamination, arising failures or intentional (targeted) random attacks. Research literature has been recently focused on optimal design efficient detection systems, generally expressed as problem placement monitoring sensors. this paper, we introduce a methodology for calculating an index vulnerability that represents tendency injected contaminant to spread over network. Epanet quality simulations are performed in order determine function number potentially contaminated nodes. The results show how such is overall fitted by stretched exponential law. comparison with auto-similar, tree-like network (described power-law) allows determination Vulnerability Index, which quantifies “far” behavior given system deviates pure scale-freeness. It analytically calculated two-fold approximation and provides alternative way robustness against contamination. Different can then be directly compared, assess prioritize control measures interventions.