مشخصات پژوهش

This research examines multi-species water distribution network modeling under hydraulic and water quality parameters’ uncertainty using pressure-driven analysis and EPANET2.2-MSX software. An AS3 pollutant concentration of one mg/l was considered for injection into the network. The network was simulated using the Monte Carlo method, running 100 scenarios to generate random numbers with uniform distribution. Each scenario had one uncertain input data, while others were assumed certain. Sensitivity analysis, using the elementary effect method, revealed that the demand parameter was the most influential in upstream and midstream areas, followed by bulk decay coefficients in pipes and tanks, pipe wall decay coefficient, roughness coefficient, and pipe diameter. The tank mixing fraction had minimal impact. Simultaneous changes in AS3 and NH2Cl concentrations with parameters of demand, roughness coefficient, pipe diameter, and bulk decay coefficient showed the greatest variations, increasing AS3 concentration variations by 30% and NH2Cl by 15%, compared to single-parameter approaches.