Water distribution quality model requires inputs from many sources. The input parameters for the model can be broadly classified into two groups; hydraulic model parameters and water quality model parameters. The input parameters for the hydraulic model are nodal demands, pipe diameter, pipe length and pipe roughness. The input parameters for the water quality model are global bulk and wall decay coefficients. The uncertainties involved in these input parameters propagate into the model predictions and cause the model outputs, the nodal pressure and chlorine residual uncertain. This paper considers six different networks based on their different layouts to examine the impact of uncertain input parameters on model prediction. Monte Carlo Simulation (MCS) has been used examine the impact. Results show that for most of the networks global wall decay coefficient and demand have largest influence on the model prediction.
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