Using Fuzzy Inference System to Predict Iron and Manganese Accumulation Potential in Water Distribution Networks

The occurrence of discolored drinking water at customers’ taps, which is mainly caused by the deposition and release of iron (Fe) and manganese (Mn) in water distribution networks (WDNs), is a major worry for both customers and water companies. In this paper, two hierarchical fuzzy inference systems (FISs) to predict Fe and Mn accumulation potential in WDNs were developed. They were also able to indicate the causes of Fe and Mn accumulation potential failures. The FISs could be of great benefit to water resource engineers and drinking water supply companies in managing water discoloration.