Novel Method for Segment Identification in Water Distribution Network through Node-Based Adjacency Matrix

Abstract

With the deterioration growth of water pipes, the frequency of identifying segments and unintended isolation in water distribution networks is expected to increase, because it can help identify the number of nodes that cannot be supplied and their locations when a failure occurs. Therefore, a methodology for identifying segments and unintended isolation was developed and verified using examples. In addition, a case study was conducted to confirm that the proposed methodology could be applied to actual fields. The proposed method only requires the node-based adjacency matrix K for identification, where the connectivity of the current network can be intuitively understood with the constructed matrices. Moreover, this methodology is easy to adopt using the single row-first search method. The proposed framework is compatible with the data storage format of hydraulic analysis software. Finally, the proposed methodology can be used in various research on configuring and analyzing water distribution networks.