Novel Eulerian Approach with Cellular Automata Modelling to Estimate Water Quality in a Drinking Water Network

Abstract The forecast analysis of the exposure to contamination risk in a water distribution network requires increasing quality applied input/outputs modeling. This need involves using non-traditional models responding increasingly high computation requirements. In this scenario, Cellular Automata paradigm represents new frontier with considerable potential. Specifically, paper describes Eulerian Water quAlity Modeling—Cellular (EWAM-CA) model, aimed at simulating sodium hypochlorite (chlorine) injection, transport, and reaction phase medium-sized drinking network. EWAM-CA accuracy was compared Epanet software on Fossolo network, Bologna town (Italy), considering constant an impulsive input respectively. Due CA's intrinsic aptitude for parallel computing, version developed. Moreover, capability cellular automata manage modeling asynchronously, improving computational efficiency, we propose novel approach based activation/deactivation asynchronous rules, avoiding unnecessary calculations nodes or pipes where no pollution occurs. different versions were case study, coupled functionality significantly improved performance.