Drinking Water Risk Assessment in Distribution Networks

Risk assessment of drinking water in the distribution network is essential due to its closeness to the point of delivery. Two multi-criterion decision making (MCDM) frameworks will be used to model the involved vagueness and ambiguity in WQPs. Incommensurable and non-ordinal water quality parameters (WQPs) at various sampling locations of the water distribution network are monitored. Three classes of water quality parameters including microbial WQPs, physicochemical WQPs as well as WQPs that indicate the presence of particles in drinking water are considered. Partial and incomplete information on WQPs introduce uncertainty to the risk assessment process. Further, conflicting WQPs result in a partially reliable assessment of the risk associated with drinking water. The proposed methodology is based on two hierarchical inference engines, which are tuned based on both historical data on WQPs in the distribution network and expert knowledge. In this study, The MCDM frameworks are developed to assess the microbial, physicochemical and particle related risks. The MCDM frameworks are based on either fuzzy evidential inference engines or fuzzy evidential rule-based engines

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