Quantitative Reliability Modeling of Intelligent Water Distribution Networks Koosha Marashi Abstract: Modern water distribution systems deploy computational and communication capabilities by utilizing advanced measurement devices, electromechanical actuators, embedded computers, and telecommunication networks to provide distributed decision support for the water supply network. The combination of the physical water distribution network and the cyber infrastructure is known as a cyberphysical system. In this research we propose a quantitative reliability model for intelligent water distribution network as a cyber-physical critical infrastructure. Markov chain imbeddable structure method is used to capture impairments originating from either physical or cyber components and to develop a single comprehensive reliability model. As a case study, we illustrate the application of our model to a small and tractable example of water distribution network previously investigated in the literature.