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A soft sensor is developed to predict the potential amount of precipitation of calcium carbonate (CCPP) in warm water household devices and scaling or corrosive behavior in water distribution networks. With the aid of a water supply network model, it is shown that the soft sensor is able to predict CCPP levels at pre-specified downstream nodes using only measurements at a limited set of upstream nodes. Furthermore, the soft sensor consists of a data assimilation algorithm to provide for best estimates of the CCPP and confidence intervals.


Session R54, Water Distribution Networks: Water Quality Aspects



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