Estimation of Chlorine Concentration in Water Distribution Systems Based on a Genetic Algorithm

This paper proposes a methodology based on genetic algorithms (GA) to calibrate the parameters of chlorine decay model in water distribution system (WDS). The proposed first contemplates that GA is implemented using historical measurements concentration at some sensed nodes unknown values corresponding both bulk and wall reaction coefficients. Once are estimated, optimal-fit used predict each node for any input pumping station. Then, second GA-based algorithm obtain minimal needed ensure every meets official normativity requirements free WDS. performed satisfactorily WDS simulated EPANET with MATLAB, estimation coefficients optimization required input. Simulation results illustrate performance algorithm.