Mathematical models are the basic tool that simulates the operation of the Water Distribution System (WDS). Building such a tool is a complex task that requires as much detail as possible. The information needed to build a model can be divided into two categories: network data and WDSs operating data. The first group includes pipes and nodes attributes, like pipe length, pipe diameter, pipe roughness, junction elevation, and junction demand. The second category includes data specifying network performance such as pump characteristics, water demand patterns, and controls. The quality of these data will reflect the quality (compatibility) of the model.

In WDSs modeling, especially dynamic modeling, water demand patterns will have a significant impact on model accuracy. The appearance of each patterns may be different, it depends on the type of consumption (domestic, industrial) or analyzed period. Consumption patterns  defining the  WDSs operational work. Changes in water demand patterns may affect the accuracy of the model calibration. The real WDS model were used in this paper. The three simulations were analyzed, each for another period: one year, six months, and one month. Junction demand and water demand patterns were generated from a GIS (Geographic Information System) and SCADA (Supervisory Control And Data Acquisition) database.